This article argues for a different outlook on the concept of extension, especially for the reference of general terms in scientific practice. Scientific realist interpretations of the two predominant theories of meaning, namely Descriptivism and Causal Theory, contend that a stable cluster of descriptions or an initial baptism fixes the extension of a general term such as a natural kind term. This view in which the meaning of general terms is presented as monosemantic and the referents (...) as stable, homogeneous, and unchangeable, however, does not reflect the various practices involved in the investigation of research materials and the related application of general terms in scientific practice. By drawing on the taxonomic diversity, particularly of structure-based classifications in chemical databases, this article illustrates the limited utility of such a concept of extension. Research materials often exhibit a plurality of material dimensions that, within different research contexts, allow for various and often equally significant taxonomic demarcations. In light of this, the extension of a general term cannot be uniquely determined by a supposedly independent nature of the referent but is relative to the model context under which the materials are investigated. This significance and plurality of the model context, I claim, needs to be mirrored in an account of meaning that is supposed to reflect scientific reality. On this account, the aim of this article is to present an alternative perspective on the concept of extension to accommodate the diverse material practices that determine the application of general terms in science. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:“What Is Actually Being Measured?”: Causality and Underlying Scientific Thinking Process in the Assessment of DepressionGreta Kaluzeviciute-Moreton, PhD (bio)Depression is a complex mental health phenomenon due to its multifaceted nature. For one, depression is thought to have a significant genetic component, with studies suggesting that heritability is a significant factor in the development of the disorder (Sullivan, Neale, Kendler, 2000). In clinical psychology, environmental factors such as (...) childhood trauma, chronic stress, social isolation and negative life events (e.g., the loss of a loved one) have been documented as significant risk factors for the development of depression or as trigger events for depressive episodes (Fu & Parahoo, 2009; Kendler, Kuhn, & Prescott, 2004; Neitzke, 2016). Despite this, causal theories of mental health conditions are often tricky and/or scarcely reflected in both diagnostic and rating scales. For instance, the Diagnostic and Statistical Manual of Mental Disorders classifies mental health disorders primarily based on observable symptoms and behaviors, rather than on the underlying psychological and neurobiological processes that may contribute to these symptoms (Kendler, 2006).Similarly, rating scales for depression are typically designed to assess the severity of symptoms, rather than their underlying causes, that is, most rating scales are used as screening tools to identify individuals who may require further evaluation and treatment. Some rating scales may include items related to causal factors, such as the Beck Depression Inventory-II (BDI-II) includes an item that asks about “loss of interest in sex,” which could be related to either biological or psychological factors. Several rating scales include items assessing risk factors for depression, such as family history of depression or personal history of trauma. This may be indicative of both genetic and environmental risk factors, such as the Patient Health [End Page 255] Questionnaire-9, includes an item that asks about family history of depression. However, while risk and causal factors are related, they are distinct in the assessment of depression. Risk factors refer to factors that increase the likelihood of developing depression, while causal factors refer to factors that directly contribute to the development of the condition. The presence of a risk factor does not necessarily mean that an individual will develop depression (Peterson & Seligman, 1984). However, the two are frequently blurred and equated in psychotherapy research (Westen & Bradley, 2005).As such, the historical issues of rating and diagnostic scales, aptly depicted by the Le Moigne (2023) as full of “composite, if not contradictory, heritage, weaving together the classificatory and discontinuous tradition of psychiatry, on the one hand, and the psychometric and continuous tradition of psychology, on the other” (p. XX ), suffer from an epistemological oversight when it comes to the assessment of causal factors in complex mental health conditions, such as depression. In turn, this contributes to a wider psychometric issue: what is actually being measured? Le Moigne’s detailed overview predominantly focuses on “superficial” symptomatology of depression (which contributed to two distinct forms of evaluation: hetero- and self-evaluation), and its subsequent impact on the classification and taxonomy of depression throughout history. However, the overarching conceptualization of depression (including a more detailed consideration of causal factors and their assessment) and the usefulness of rating scales in applied research (such as psychotherapy) remain in the background.The question of “what is actually being measured” is obviously not new in psychometrics. However, it is important to continuously revisit this issue, given that rating scales (such as the BDI) are considered to be universally applicable “evidence-based” tools (Rogers, Adler, Bungay, & Wilson, 2005) as well as a common and well-accepted form of scientific thinking in psychotherapy research (Kaluzeviciute & Willemsen, 2020). From an epistemological point of view, a scientific thinking style entails not only cognitive operations common to methodology, but also practices of generating, sharing, assimilating and transforming knowledge(Hacking, 2012).Therefore, it is important to acknowledge that any scientific tool, including rating scales, encompasses not just what but also how researchers find out about their studied phenomena (i.e., a scientific thinking style conveys a performative quality) (Kaluzeviciute & Willemsen, 2020). As identified by Le Moigne (2023), taxonomy leads toward a category-based logic in that it considers the examined phenomenon to be shared by only a... (shrink)

Epidemiologists’ discussions on causation are not always very enlightening with regard to the notion of ‘cause’ in epidemiology. Epidemiologists rightly work from a science-based approach to causation in epidemiology, but largely disagree about the matter. Disagreement may be partly due to confusion of the question of useful concepts for causal inference in epidemiological practice with the question of the metaphysical presuppositions of causal concepts used in epidemiology. In other words, epidemiologists seem to confuse the practical (...) results of epidemiological research at the population level with the metaphysical views about the reality of disease causation at the individual level in their writings on causation. (shrink)

In the last few decades, philosophy of science has increasingly focused on multilevel models and causal mechanistic explanations to account for complex biological phenomena. On the one hand, biological and biomedical works make extensive use of mechanistic concepts; on the other hand, philosophers have analyzed an increasing range of examples taken from different domains in the life sciences to test—support or criticize—the adequacy of mechanistic accounts. The article highlights some challenges in the elaboration of mechanistic explanations with a (...) focus on cancer research and neuropsychiatry. It jointly considers fields, which are usually dealt with separately, and keeps a close eye on scientific practice. The article has a twofold aim. First, it shows that identification of the explananda is a key issue when looking at dynamic processes and their implications in medical research and clinical practice. Second, it discusses the relevance of organizational accounts of mechanisms, and questions whether thorough self-sustaining mechanistic explanations can actually be provided when addressing cancer and psychiatric diseases. While acknowledging the merits of the wide ongoing debate on mechanistic models, the article challenges the mechanistic approach to explanation by discussing, in particular, explanatory and conceptual terms in the light of stances from medical cases. (shrink)

In addition to theorizing about the role and value of mechanisms in scientific explanation or the causal structure of the world, there is a fundamental task of getting straight what a ‘mechanism’ is in the first place. Broadly, this paper is about the challenge of application: the challenge of aligning one's philosophical account of a scientific concept with the manner in which that concept is actually used in scientific practice. This paper considers a case study (...) of the challenge of application as it pertains to the concept of a mechanism: the debate about whether natural selection is a mechanism. By making clear what is and is not at stake in this debate, this paper considers various strategies for dealing with the challenge of application and makes a case for definitional pluralism about mechanism concepts. (shrink)

Causal pluralism is currently a hot topic in philosophy. However, the consequences of this view on causation for scientific knowledge and scientific methodology are heavily underexposed in the present debate. My aim in this paper is to argue that an epistemological-methodological point of view should be valued as a line of approach on its own and to demonstrate how epistemological- methodological causal pluralism differs in its scope from conceptual and metaphysical causal pluralism. Further, I defend (...) epistemological-methodological causal pluralism and try to illustrate that scientific practice needs diverse causal concepts in diverse domains, and even diverse causal concepts within singular domains. (shrink)

This dissertation examines aspects of the interplay between computing and scientific practice. The appropriate foundational framework for such an endeavour is rather real computability than the classical computability theory. This is so because physical sciences, engineering, and applied mathematics mostly employ functions defined in continuous domains. But, contrary to the case of computation over natural numbers, there is no universally accepted framework for real computation; rather, there are two incompatible approaches --computable analysis and BSS model--, both claiming to (...) formalise algorithmic computation and to offer foundations for scientific computing. -/- The dissertation consists of three parts. In the first part, we examine what notion of 'algorithmic computation' underlies each approach and how it is respectively formalised. It is argued that the very existence of the two rival frameworks indicates that 'algorithm' is not one unique concept in mathematics, but it is used in more than one way. We test this hypothesis for consistency with mathematical practice as well as with key foundational works that aim to define the term. As a result, new connections between certain subfields of mathematics and computer science are drawn, and a distinction between 'algorithms' and 'effective procedures' is proposed. -/- In the second part, we focus on the second goal of the two rival approaches to real computation; namely, to provide foundations for scientific computing. We examine both frameworks in detail, what idealisations they employ, and how they relate to floating-point arithmetic systems used in real computers. We explore limitations and advantages of both frameworks, and answer questions about which one is preferable for computational modelling and which one for addressing general computability issues. -/- In the third part, analog computing and its relation to analogue (physical) modelling in science are investigated. Based on some paradigmatic cases of the former, a certain view about the nature of computation is defended, and the indispensable role of representation in it is emphasized and accounted for. We also propose a novel account of the distinction between analog and digital computation and, based on it, we compare analog computational modelling to physical modelling. It is concluded that the two practices, despite their apparent similarities, are orthogonal. (shrink)

My dissertation concerns the long-standing mind-body problem in a contemporary context. I investigate whether a content property of a mental state can be causally efficacious in bringing about behavior. I argue that general objections against the causal efficacy of content are not warranted. I then propose my own account of the causal efficacy of content. ;In Chapter 1, I examine the claim that the supervenience thesis renders mental causation incompatible with underlying physical causation. I argue that if (...) we understand the supervenience thesis and the concept of causation probabilistically, it turns out that the causal efficacy of the mental is compatible with that of the physical. ;In Chapter 2, I claim that given the compatibility claim established in the previous chapter, the computational theory of the mind can be understood as a causal hypothesis. I examine this hypothesis in details and Fodor's "narrow content" proposal. I argue that Fodor's proposal has a serious problem. ;In Chapter 3, I discuss individualism which implies that content is not a psychologically relevant property. I argue that individualism is in conflict with legitimate scientific practices and that there is no reason not to individuate psychological properties in terms of diachronic, causal relations. ;In Chapter 4, I investigate the screening-off argument that since content is unnecessary and redundant for the genesis of behavior, content cannot be causally efficacious. I argue that the argument is not valid. I also critically examine three accounts of the causal efficacy of content and claim that they fall short of conferring causal efficacy to content. ;In Chapter 5, I propose an account of causal efficacy which is consistent with the requirement of causal transaction via local, physical mechanism. My account is based on the notion of causal connection which is, in turn, understood as a category of token probabilistic causal significances. According to my account, content can be causally efficacious in bringing about behavior. I conclude that reasons qua reasons have causal have causal efficacy. (shrink)

This dissertation examines aspects of the interplay between computing and scientific practice. The appropriate foundational framework for such an endeavour is rather real computability than the classical computability theory. This is so because physical sciences, engineering, and applied mathematics mostly employ functions defined in continuous domains. But, contrary to the case of computation over natural numbers, there is no universally accepted framework for real computation; rather, there are two incompatible approaches --computable analysis and BSS model--, both claiming to (...) formalise algorithmic computation and to offer foundations for scientific computing. The dissertation consists of three parts. In the first part, we examine what notion of 'algorithmic computation' underlies each approach and how it is respectively formalised. It is argued that the very existence of the two rival frameworks indicates that 'algorithm' is not one unique concept in mathematics, but it is used in more than one way. We test this hypothesis for consistency with mathematical practice as well as with key foundational works that aim to define the term. As a result, new connections between certain subfields of mathematics and computer science are drawn, and a distinction between 'algorithms' and 'effective procedures' is proposed. In the second part, we focus on the second goal of the two rival approaches to real computation; namely, to provide foundations for scientific computing. We examine both frameworks in detail, what idealisations they employ, and how they relate to floating-point arithmetic systems used in real computers. We explore limitations and advantages of both frameworks, and answer questions about which one is preferable for computational modelling and which one for addressing general computability issues. In the third part, analog computing and its relation to analogue (physical) modelling in science are investigated. Based on some paradigmatic cases of the former, a certain view about the nature of computation is defended, and the indispensable role of representation in it is emphasized and accounted for. We also propose a novel account of the distinction between analog and digital computation and, based on it, we compare analog computational modelling to physical modelling. It is concluded that the two practices, despite their apparent similarities, are orthogonal. (shrink)

In this chapter, I argue that scientific practice in the neurosciences of cognition is not conducive to the discovery of natural kinds of cognitive capacities. The “neurosciences of cognition” include cognitive neuroscience and cognitive neurobiology, two research areas that aim to understand how the brain gives rise to cognition and behavior. Some philosophers of neuroscience have claimed that explanatory progress in these research areas ultimately will result in the discovery of the underlying mechanisms of cognitive capacities. Once (...) such mechanistic understanding is achieved, cognitive capacities purportedly will be relegated into natural kind categories that correspond to real divisions in the causal structure of the world. I provide reasons here, however, in support of the claim that the neurosciences of cognition currently are not on a trajectory for discovering natural kinds. As I explain, this has to do with how mechanistic explanations of cognitive capacities are developed. Mechanistic explanations and the kinds they explain are abstract representational byproducts of the conceptual, experimental and integrative practices of neuroscientists. If these practices are not coordinated towards developing mechanistic explanations that mirror the causal structure of the world, then natural kinds of cognitive capacities will not be discovered. I provide reasons to think that such coordination is currently lacking in the neurosciences of cognition and indicate where changes in these practices appropriate to the natural kinds ideal would be required if achieving this ideal is indeed the goal. However, I suggest that an evaluation of current practices in these research areas is suggestive that discovering natural kinds of cognitive capacities is not the goal. (shrink)

The current technoscientific progress has led to a sectorization in the philosophy of science. Today the philosophy of science isn't is informal interested in studying old problems about the general characteristics of scientific practice. The interest of the philosopher of science is the study of concepts, problems and riddles of particular disciplines. Then, within this progress of philosophy of science, neuroscientific research stands out, because it invades issues traditionally addressed by the humanities, such as the nature of (...) consciousness, action, knowledge, normativity, etc. As a result, the new area of interdisciplinary study of neuroscience and philosophy arises: neurophilosophy. This emerging area applies neuroscientific concepts to traditional philosophical questions, limiting their responses to neuroscientific revelations about nervous systems. Neurophilosophy research focuses on problems related to the indirect nature of mind and brain, computational or representative analysis of brain process, relationships between psychological and neuroscientific research, adequate adaptations of physical and philosophical concepts in neuroscience and the place of cognitive functions. Now, the temporal representation of conscious experience and the types of the neural architecture to represent objects in time have aroused scientific interest. Under these interests, we focus on the studies on the temporary triadic structure of phenomenological consciousness in Dan Lloyd and Rick Grush. From Grush’s studies, the importance of Kantian ideas for cognitive neuroscience emerges, due to the active way in which Kant conceived space and time as forms of intuition, within which the mind interprets its experience. Under this perspective, the theoretical arguments of Dennett-Kinsbourne and Eagleman-Sejnowski represent winks in the direction of Kant-Husserl within the neuroscientific goal while considering that the contents provided by the mind included space, objects and perception of causal relationships. Then, theories of cognitive neuroscience are beginning to suggest that these elements are also, as Kant argued, interpretative elaborations provided by mind / brain, and not only content received from outside. In other words, current cognitive neuroscientific theories try to pass from its Humean phase to a Kantian phase. So, the challenge has been to explain that these elements are provided by the mind and the world itself, and how they have the content they have come from. These are lacking in current studies. Filling this gap helps to involve the analysis of the scientist’s experience in his theoretical attitude. In this sense, an investigation under the Kantian-Husserlian approach that involves pure intuitions a priori with the experience of the scientific and neuroscientific concepts represents a ground-breaking. At present, a neurophilosophical study about this does not exist. In this sense, one feasible proposal for research would be based on the application of neuroscientific results of Moser-Britt to philosophical problems of foundational notions in relativistic physics: space, time, space-time, field, etc., under the Kantian-Husserlian approach, which allows to demonstrate the multidisciplinary link between neurophilosophy and physics. This represents a ground-breaking area in current interests in scientific research, with a positive impact in the field of neuroscience, and contributing to the study of abstraction emphasizing the importance of Kant’s Copernican turn and Husserl’s phenomenological ideas in the construction of physical theories. -/- . (shrink)

Background on probability and evolution -- Laying the foundation. Population-environment systems ; Causal probability and empirical practice ; Irrelevance of fitness as a causal property of token organisms ; Roles of environmental variation in selection -- Reconstructing evolution and chance. Populations in biological practice: Pragmatic yet real ; Real causation in pragmatic population-environment systems ; Fitness concepts in measurement and modeling ; Chance in population-environment systems ; The input measure problem for MM-CCS chance -- Conclusion.

While the common procedure of statistical significance testing and its accompanying concept of p-values have long been surrounded by controversy, renewed concern has been triggered by the replication crisis in science. Many blame statistical significance tests themselves, and some regard them as sufficiently damaging to scientific practice as to warrant being abandoned. We take a contrary position, arguing that the central criticisms arise from misunderstanding and misusing the statistical tools, and that in fact the purported remedies themselves risk (...) damaging science. We argue that banning the use of p-value thresholds in interpreting data does not diminish but rather exacerbates data-dredging and biasing selection effects. If an account cannot specify outcomes that will not be allowed to count as evidence for a claim—if all thresholds are abandoned—then there is no test of that claim. The contributions of this paper are: To explain the rival statistical philosophies underlying the ongoing controversy; To elucidate and reinterpret statistical significance tests, and explain how this reinterpretation ameliorates common misuses and misinterpretations; To argue why recent recommendations to replace, abandon, or retire statistical significance undermine a central function of statistics in science: to test whether observed patterns in the data are genuine or due to background variability. (shrink)

Slovenian epistemology is characterised by an idiosyncratic canon, based on three fundamental authors: Gaston Bachelard, Alexandre Koyré, and Thomas Kuhn. What binds this canon together is the attitude that the history of science should be viewed as a history of radical breaks or revolutions in scientific thought. The drawback of such an anthology of authors is not only that it is outdated, but that, from the position of this canon, it is difficult to discern the problems stemming from the (...) approach to history of science it endorses. In order to highlight the blind spots of Slovenian epistemology, I examine a different interpretative trajectory of the notion of scientific revolution in the United Kingdom and the United States. The methodological program, which focuses on revolutionary breakthroughs in scientific ideas, is thus re-evaluated by considering its strategic role in the institutionalisation of the history of science as a discipline. The event that marked the translation of French epistemology into English history of science were the lectures of the delegates from the Soviet Union at the Second International Congress of the History of Science and Technology in 1931. In post-war Anglo-American history of science, the concept of scientific revolution was adopted as a means of excluding Marxist studies of science – which had spread under the influence of the Soviet delegation – from the realm of acceptable discourse. I demonstrate how the Cold War historiography of science introduced a divide between the “internal” and “external” factors of scientific development, and their supposed synthesis in the work of Thomas Kuhn. Finally, I review the critiques that the sociology of scientific knowledge levelled at the story of the Scientific Revolution and point out the importance of these controversies for current epistemological research. (shrink)

This paper proposes laying the groundwork for principled moral reasoning as a seminal goal of ethics interventions in higher education, and on this basis, makes a case for educating future specialists and professionals with a foundation in philosophical ethics. Identification of such a seminal goal is warranted by the progressive dissociation of scientific practice and ethical deliberation since the onset of a problematic relationship between science and ethics around the mid-19th century, and the extensive mistrust of integrating ethics (...) in science and engineering curricula beyond its “applied,” “practical,” or “professional” implications. Although calls by international scientific and educational bodies to strengthen ethics teaching in scientific education over the past quarter century have brought about a notion of combining competence in a certain field with competence in ethics, this is neither entrenched in the academic community, nor fleshed out as regards its core or instruments to realize it. The legitimate goals of ethics teaching in higher education, almost settled since the 1980s, can be subsumed under the proposed seminal goal, and the latter also would safeguard content and methods of ethics interventions against the intrusion of indoctrinative approaches. In this paper, derivation of the proposed seminal goal rests on an interpretation of the Kohlbergian cognitive-developmental conception of moral adulthood consisting in autonomous principled moral reasoning. This interpretation involves, based on Kant’s conception of the virtuous person, integrating questions about the “good life” into the domain of principled reasoning. (shrink)

b>: Replacing faulty nineteenth century physics by its orthodox quantum successor converts the earlier materialist conception of nature to a structure that does not enforce the principle of the causal closure of the physical. The quantum laws possess causal gaps, and these gaps are filled in actual scientific practice by inputs from our streams of consciousness. The form of the quantum laws permits and suggests the existence of an underlying reality that is built not on (...) substances, but on psychophysical events, and on objective tendencies for these events to occur. These events constitute intrinsic mind-brain connections. They are fundamental links between brain processes described in physical terms and events in our streams of consciousness. This quantum ontology confers upon our conscious intentions the causal efficacy assigned to them in actual scientific practice, and creates a substance- free interactive dualism. This putative quantum ontology has previously been shown to have impressive explanatory power in both psychology and neuroscience. Here it is used to reconcile the existence of physically efficacious conscious free will with causal anomalies of both the Libet and Einstein-Rosen-Podolsky types. (shrink)

Knowledge was a major issue in science and philosophy in the twentieth century. Its first irruption was in the heated controversy concerning the foundations of mathematics. To justify his rejection of the use of the actual infinite in mathematical reasoning, Brouwer has made the construction of mathematical objects dependent on the knowing subject. This approach was rejected by the mainstream of analytical philosophers who feared a fall into pyschologism. Several years later, the question of the progress of scientific knowledge (...) was put forward in the thirties by the post-positivist philosophers to fill the vacuum in the philosophy of science following the demise of the logical positivism programme. The answers given to these questions have deepened the already existing gap between philosophy and the history and practice of science. While the positivists argued for a spontaneous, steady and continuous growth of scientific knowledge the post-positivists make a strong case for a fundamental discontinuity in the development of science which can only be explained by extrascientific factors. The political, social and cultural environment, the argument goes on, determine both the questions and the terms in which they should be answered. Accordingly, the sociological and historical interpretation involves in fact two kinds of discontinuity which are closely related: the discontinuity of science as such and the discontinuity of the more inclusive political and social context of its development. More precisely it explains the discontinuity of the former by the discontinuity of the latter subordinating in effect the history of science to the wider political and social history. The underlying idea is that each historical and social context generates scientific and philosophical questions of its own. From this point of view the question surrounding the nature of knowledge and its development are entirely new topics typical of the twentieth century social context reflecting both the level and the scale of the development of science. To the surprise of modern historians of science and philosophy, the same kind of questions, which would allegedly be new topics specific to the twentieth century concerning the nature of knowledge and its progress, were already raised more than eleven centuries earlier in the context of the Arabic tradition which, as we discuss further on, developed a trans-cultural and trans-national concept of the unity of science (see the contributions of Deborah Black and Jon McGinnis which tackle the issue of the nature of knowledge). The neglect of the Arabic tradition in philosophy of science is a major a gap not only in the development of science but a fundamental flaw in the writing of its history and philosophy caused by the total reduction of epistemology to political and social history of science. How has this period of the history of science and philosophy come to be ignored? In what circumstances were the questions akin to the nature of knowledge raised in the first place? What is the relation between on the one hand the questions of knowledge and its growth and on the other hand the unity of science in the Arabic tradition? The answers to some of these questions are the aim of the present volume, the first of the series Logic, Epistemology and the Unity of Science to be devoted to a so-called non-western tradition. Let us first highlight in a kind of overview some landmarks concerning the timing of the emergence of the Arabic tradition and its significance for the history of science. (shrink)

The recent literature on causality has seen the introduction of several distinctions within causality, which are thought to be important for understanding the widespread scientific practice of focusing causal explanations on a subset of the factors that are causally relevant for a phenomenon. Concepts used to draw such distinctions include, among others, stability, specificity, proportionality, or actual-difference making. In this contribution, I propose a new distinction that picks out an explanatorily salient class of causes in biological (...) systems. Some select causes in complex biological systems, I argue, have the property of enabling coherent causal control of these systems. Examples of such control variables include hormones and other signaling molecules, e.g., TOR (target of rapamycin), morphogens or the products of homeotic selector genes in embryonic pattern formation. I propose an analysis of this notion based on concepts borrowed from causal graph theory. (shrink)

The legitimacy of going back to the classical view of God’s action in the world based on the list of causes and understanding of chance in the works of Aristotle and Aquinas – in the context of contemporary science – seems to depend on whether there is a space for causal analysis within the current models of scientific explanation. This article offers a brief account of the path leading to negation and rediscovery of the importance of causality in (...) scientific explanation and reintroduces the semicausal position of the prominent philosopher of science, Mario Bunge, who treats causation as one of several categories of determination. The diversity of the categories he lists finds analogy in the commonly accepted pluralist approach to the search of the model which adequately describes the practice of scientific research. What is more, the same diversity of the categories of determination opens the way back to the classical Aristotle’s fourfold account of causation and his understanding of chance. This fact allows us, in turn, to defend the contemporary version of the classical notion of divine action against the accusation of methodical error in the form of imposing the notion of the ancient categories of causality on the results of contemporary scientific research, which notion, as some maintain, has little in common with the models of explanation currently accepted in natural sciences. (shrink)

In his epistemological system Mead begins with that which the chief philosophers rejected, the novel or exceptional, and makes it central. It is central in a respect which should be carefully explained. The novel or emergent is that with reference to which a present is defined, and a present is the seat of reality. In saying this Mead does not mean that “the past” and “the future” are meaningless terms. Nor does he reduce them to a present. Rather he holds (...) that neither the past nor the future exists. In fact, they are meaningful only in relation to a present and the various pasts and futures referred to in our statement of causal conditions and predictions belong to a present, which is their seat. Mead escapes the metaphysical problem as to whether the past or the future has some sort of being even now. Certainly in so far as he has a metaphysics at all it derives from his epistemology which is primary and represents a pioneering attempt to develop a theory of knowledge answering to experimental science. Consciously or unconsciously most contemporary scientists are still under the influence of bygone epistemological and metaphysical doctrines in their explicit statements of what constitutes reality and knowing. Yet in so far as they are successful in practice obviously they are free from the blind alleys and dead ends which these older theories lead to logically. However no one, not even the philosopher, has been able to formulate a consistent set of epistemological principles from which experimental scientific procedure follows logically. One thing, Mead contends, has been wholly neglected. It is the emergent. (shrink)

In recent years what has come to be called the 'New Mechanism' has emerged as a framework for thinking about the philosophical assumptions underlying many areas of science, especially in sciences such as biology, neuroscience, and psychology. This book offers a fresh look at the role of mechanisms, by situating novel analyses of central philosophical issues related to mechanisms within a rich historical perspective of the concept of mechanism as well as detailed case studies of biological mechanisms. It develops (...) a new position, Methodological Mechanism, according to which mechanisms are to be viewed as causal pathways that are theoretically described and are underpinned by networks of difference-making relations. In contrast to metaphysically inflated accounts, this study characterises mechanism as a concept-in-use in science that is deflationary and metaphysically neutral, but still methodologically useful and central to scientific practice. (shrink)

This survey of major developments in North American philosophy of science begins with the mid-1960s consolidation of the disciplinary synthesis of internalist history and philosophy of science (HPS) as a response to criticisms of logical empiricism. These developments are grouped for discussion under the following headings: historical metamethodologies, scientific realisms, philosophies of the special sciences, revivals of empiricism, cognitivist naturalisms, social epistemologies, feminist theories of science, studies of experiment and the disunity of science, and studies of science as (...) class='Hi'>practice and culture. A unifying theme of the survey is the relation between historical metamethodologists and scientific realists, which dominated philosophical work in the late 1970s. I argue that many of the alternative cognitive naturalisms, social epistemologies, and feminist theories that have been proposed can be understood as analogues to the differences between metamethodological theories of scientific rationality and realist accounts of successful reference to real causal processes. Recent work on experiment, scientific practice, and the culture of science may, however, challenge the underlying conception of the field according to which realism and historical rationalism (or their descendants) are the important alternatives available, and thus may take philosophy of science in new directions. (shrink)

The source of endless speculation and public curiosity, our scientific quest for the origins of human consciousness has expanded along with the technical capabilities of science itself and remains one of the key topics able to fire public as much as academic interest. Yet many problematic issues, identified in this important new book, remain unresolved. Focusing on a series of methodological difficulties swirling around consciousness research, the contributors to this volume suggest that ‘consciousness’ is, in fact, not a wholly (...) viable scientific concept. Supporting this ‘eliminativist‘ stance are assessments of the current theories and methods of consciousness science in their own terms, as well as applications of good scientific practice criteria from the philosophy of science. For example, the work identifies the central problem of the misuse of qualitative difference and dissociation paradigms, often deployed to identify measures of consciousness. It also examines the difficulties that attend the wide range of experimental protocols used to operationalise consciousness—and the implications this has on the findings of integrative approaches across behavioural and neurophysiological research. The work also explores the significant mismatch between the common intuitions about the content of consciousness, that motivate much of the current science, and the actual properties of the neural processes underlying sensory and cognitive phenomena. Even as it makes the negative eliminativist case, the strong empirical grounding in this volume also allows positive characterisations to be made about the products of the current science of consciousness, facilitating a re-identification of target phenomena and valid research questions for the mind sciences.​. (shrink)

Philosophers of science have long been concerned with these questions. In the 1980s, influential work by Clark Glymour, Michael Friedman, John Watkins, and Philip Kitcher articulated general accounts of theory unification that attempted to underwrite a connection between unification, truth, and understanding. According to the ‘unifiers,’ as we may call them, a theory is unified to the extent that it has a small theoretical structure relative to the domain of phenomena it covers, and there are general syntactic criteria that allow (...) one to determine how unified a theory is. The explanatory power of a theory, and the understanding of nature it gives us, is a direct consequence of this unity. As well, the more unified a theory is, the better confirmed it will be, and under some conditions a theory’s unity can justify realism about unobservable entities posited by it. In the 1990s disunity became the dominant theme, with books such as John Dupré’s The Disorder of Things and the Galison and Stump anthology arguing that it is a mistake to view science as a unified practice and that rather than an epistemic virtue, unification in science is a metaphysical vice. (shrink)

Scientific and philosophical literature on causality has become highly specialised. It is hard to find suitable access points for students, young researchers, or professionals outside this domain. This book provides a guide to the complex literature, explains the scientific problems of causality and the philosophical tools needed to address them.

The theory of concepts advanced in the present discussion aims at accounting for a) how a concept makes successful practice possible, and b) how a scientific concept can be subject to rational change in the course of history. To this end, I suggest that each scientific concept consists of three components of content: 1) the concept.

The aim of this paper is to contribute to the debate over the nature of scientific progress in philosophy of science by taking a quantitative, corpus-based approach. By employing the methods of data science and corpus linguistics, the following philosophical accounts of scientific progress are tested empirically: the semantic account of scientific progress, the epistemic account of scientific progress, and the noetic account of scientific progress. Overall, the results of this quantitative, corpus-based study lend some (...) empirical support to the epistemic and the noetic accounts over the semantic account of scientific progress, for they suggest that practicing scientists use the terms ‘knowledge’ and ‘understanding’ significantly more often than the term ‘truth’ when they talk about the aims or goals of scientific research in their published works. But the results do not favor the epistemic account over the noetic account, or vice versa, for they reveal no significant differences between the frequency with which practicing scientists use the terms ‘knowledge’ and ‘understanding’ when they talk about the aims or goals of scientific research in their published works. (shrink)

The past century has witnessed numerous methodological innovations in probabilistic and statistical methods of causal inference (e.g., the graphical modelling and the potential outcomes frameworks, as introduced in Chapter 1). These innovations have not only enhanced the methodologies by which scientists across diverse domains make causal inference, but they have also made a profound impact on the way philosophers think about causation. The philosophical issues discussed in this thesis are stimulated and inspired by these methodological innovations. Chapter 2 (...) addresses the question of how the holding of screening-off conditions for a causal model depends on the choice of variables. As bridge principles between probability and causation, screening-off conditions (especially the Causal Markov Condition) play a key role in causal inference. However, it has been known that these conditions may fail due to poor variable choice. My aim in this chapter is to further examine those constraints on variable choice that are deemed necessary for the satisfaction of screening-off conditions. The idea of a well-defined (hypothetical) intervention is also crucial for reliable causal inference. Chapter 3 explores the question of when interventions invoked in causal inference are “well-defined” or unambiguous, and how this requirement constrains the choice of cause-variables. I propose that an intervention is well-defined just in case the effect of interest is well-defined (under ideal interventions), and that the intervention can serve as a suitable means to identify that effect. Based on this proposal, several distinct types of ambiguous interventions are identified. Methodological progress in causal inference also poses the following question: Can such progress shed light on the ontology of causation? My answer is yes. In Chapter 4, I develop a Carnapian-pragmatist approach to the ontology of causation as an alternative to existing metaphysical approaches. I argue that, compared to traditional metaphysics, the pragmatist approach provides a superior picture of how the ontology and methodology of causation interact with each other in scientific practice. I conclude in Chapter 5 that the thing we call “causation” consists in both the right worldly infrastructure (e.g., screening-off patterns and possibilities for interventions) and appropriate ways of framing this infrastructure. (shrink)

We use concepts of causal powers and their relatives-dispositions, capacities, and abilities-to describe the world around us, both in everyday life and in scientific practice. This volume presents new work on the nature of causal powers, and their connections with other phenomena within metaphysics, philosophy of science, and philosophy of mind.

The source of the following considerations is the observation that academic philosophy at universities does not fit well with philosophy education processes, e.g., those at school. Both sides seem to be separate from each other. I assume that the two areas rely on two very different concepts of philosophy. To work out a concept of philosophy more appropriate to the educational context, I methodically apply the practical turn to our philosophising in very different contexts. Moreover, I elaborate that it (...) is precisely the modern scientific paradigm that underlies philosophy as scientific practice and that the former represents a problematic con-striction of philosophising in educational contexts. For where the ideal is objective scientific knowledge — from which everything subjective has been removed — there can be no deeper transformation of the subject through philosophy. My thesis is that philosophy is better suited to the educational context as transformative and not as scientific practice. As a consequence, the question arises as to whether the study of philosophy on teacher training courses needs a new impulse in the direction of philosophy as transformative practice. (shrink)

Combining philosophical and historical scholarship, the articles in this volume focus on scientific concepts, rather than theories, as units of analysis. They thereby contribute to a growing literature about the role of concepts in scientific research. The authors are particularly interested in exploring the dynamics of research; they investigate the ways in which scientists form and use concepts, rather than in what the concepts themselves represent. The fields treated range from mathematics to virology and (...) genetics, from nuclear physics to psychology, from technology to present-day neural engineering. The volume contains articles by Vassi Kindi, Miles MacLeod, Ingo Brigandt, Friedrich Steinle, Dirk Schlimm, Theodore Arabatzis, Uljana Feest, Corinne Bloch, Mieke Boon, Nancy Nersessian, and Hanne Andersen. (shrink)

The concept of explanation is central to scientific practice. However, scientists explain phenomena in very different ways. That is, there are many different kinds of explanation; e.g. causal, mechanistic, statistical, or equilibrium explanations. In light of the myriad kinds of explanation identified in the literature, most philosophers of science have adopted some kind of explanatory pluralism. While pluralism about explanation seems plausible, it faces a dilemma Explanation beyond causation, Oxford University Press, Oxford, pp 39–56, 2018). Either there (...) is nothing that unifies all instances of scientific explanation that makes them count as explanations, or there is some set of unifying features, which seems incompatible with explanatory pluralism. Different philosophers have adopted different horns of this dilemma. Some argue that no unified account of explanation is possible. Others suggest that there is a set of necessary features that can unify all explanations under a single account Explanation beyond causation, Oxford University Press, Oxford, pp 74–95, 2018; Strevens in Depth: an account of scientific explanation, Harvard University Press, Cambridge, 2008). In this paper, we argue that none of the features identified by existing accounts of explanation are necessary for all explanations. However, we argue that a unified account can still be provided that accommodates pluralism. This can be accomplished, we argue, by reconceiving of scientific explanation as a cluster concept: there are multiple subsets of features that are sufficient for providing an explanation, but no single feature is necessary for all explanations. Reconceiving of explanation as a cluster concept not only accounts for the diversity of kinds of explanations, but also accounts for the widespread disagreement in the explanation literature and enables explanatory pluralism to avoid Pincock’s dilemma. (shrink)

Philosophical discussions of mechanisms and mechanistic explanation have often been framed by contrast to laws and deductive-nomological explanation. A more adequate conception of lawfulness and nomological necessity, emphasizing the role of modal considerations in scientific reasoning, circumvents such contrasts and enhances understanding of mechanisms and their scientific significance. The first part of the paper sketches this conception of lawfulness, drawing upon Haugeland, Lange, and Rouse. This conception emphasizes the role of lawful stability under relevant counterfactual suppositions in (...) class='Hi'>scientific reasoning across the sciences, in place of traditional conceptions of law that are primarily confined to the physical sciences. It also extends lawful stability beyond verbally or mathematically expressed law-statements, to encompass other ways of conjoining patterns in the world with scientific pattern recognition. The remainder of this paper shows how and why mechanisms constructively exemplify this conception of lawfulness in scientific practice: • Mechanisms are robust, counterfactually stable and inductively projectible patterns, even though they are not exceptionless “laws of nature”. • Mechanistic explanations often take non-verbal forms, which consequently resist philosophical inclinations to semantic ascent, but understanding lawfulness in terms of counterfactually stable pattern recognition accounts for these ways in which scientific understanding outruns the expressive capacities of natural languages; • Mechanisms are sometimes characterized as real patterns in the world, and sometimes as epistemic representations; understanding mechanisms as modal patterns shows why both conceptions are needed, as mutually supportive. • Mechanisms are typically open-ended, and only partially specified, in ways open to and directive toward further articulation and revision. Understanding mechanisms as modal patterns incorporates this aspect of mechanistic understanding within a broader conception of scientific understanding as embedded in research practice, rather than in bodies of knowledge extracted from it. • Mechanistic explanation has often been placed on the causal side of an opposition between causal and nomological explanation, but understanding mechanisms as modal patterns helps overcome that opposition, and contributes to a pluralist conception of causal relations and their characteristic forms of counterfactual invariance. • The recognition of mechanisms as modal patterns allows for a new way to think about the relations among distinct levels of a mechanistic hierarchy, and the broader scientific significance of mechanistic understanding. (shrink)

The concept of mechanism in biology has three distinct meanings. It may refer to a philosophical thesis about the nature of life and biology (‘mechanicism’), to the internal workings of a machine-like structure (‘machine mechanism’), or to the causal explanation of a particular phenomenon (‘causal mechanism’). In this paper I trace the conceptual evolution of ‘mechanism’ in the history of biology, and I examine how the three meanings of this term have come to be featured in the philosophy (...) of biology, situating the new ‘mechanismic program’ in this context. I argue that the leading advocates of the mechanismic program (i.e., Craver, Darden, Bechtel, etc.) inadvertently conflate the different senses of ‘mechanism’. Specifically, they all inappropriately endow causal mechanisms with the ontic status of machine mechanisms, and this invariably results in problematic accounts of the role played by mechanism-talk in scientific practice. I suggest that for effective analyses of the concept of mechanism, causal mechanisms need to be distinguished from machine mechanisms, and the new mechanismic program in the philosophy of biology needs to be demarcated from the traditional concerns of mechanistic biology. (shrink)

Introduction. The article raises the problem of eugenics as a direction of scientific thought and practice of improving the human species. The modern advances in reproductive medicine, the development of biology, the emergence of methods for editing the human genome have updated the debate around eugenics. The aim of the work is a comprehensive study of the discourse and practice of eugenics in the period of the 19th — 21st centuries. This aim involves solving a number of (...) tasks: 1) analysis of the historical context and prerequisites for the eugenics emergence; 2) the study of the institutionalization and practical implementation of its ideas in Western countries in the period until the end of World War II; 3) research on the position of eugenics after the war and the transition of discussions to the mainstream of genetics, bioethics, transhumanism; 4) study of the modern discourse of eugenics, ethical issues and the degree of government intervention in population reproduction. Methods. The author uses the historical-retrospective method, which makes it possible to comprehensively consider the context of the emergence and development of eugenics, the comparative method (when comparing the characteristic features of the «old» (authoritarian, forced) and «new» (democratic, based on personal choice) eugenics), the institutional approach ( when identifying the main institutions involved in the development, dissemination, implementation of the ideas of eugenics) and a discursive approach (to study modern discussions about the «new» eugenics and related ethical problems). Scientific novelty of the research. A comprehensive study of eugenics has been carried out, a connection has been established between the «old» and «new» eugenics, and their similarities and differences have been investigated. Results. The need to distinguish eugenics as a theory of human selection and as a practice has been proven, and the latter, depending on the political, cultural and socio-economic situation in the country, can take a variety of forms: from counseling and preventive measures to racial cleansing. It was found that population growth, urbanization, mass migration, instability in society, combined with the ideas of modernism about social order by the forces of science and technology, contributed to the spread of eugenics ideas in the late 19th - early 20th centuries. After the Nuremberg trials, the concept under study temporarily dropped out of scientific discourse. The article examines in detail the socio-economic and other preconditions that contributed to the revival of interest in eugenics in the 60s of XX century and at the present stage. It is shown that today part of the discussion has shifted to the mainstream of genetics, bioethics and transhumanism. Conclusions. It has been established that discussions about eugenics run up against the problem of breeding control, which means that they raise the question of who should perform selection, how, what are its criteria. The ethical aspects of introducing control are complicated by the fact that perceptions of the «norm» and the degree of permitted interference depend on the particular society. (shrink)

The paper explicates the stages of the author’s philosophical evolution in the light of Kopnin’s ideas and heritage. Starting from Kopnin’s understanding of dialectical materialism, the author has stated that category transformations of physics has opened from conceptualization of immutability to mutability and then to interaction, evolvement and emergence. He has connected the problem of physical cognition universals with an elaboration of the specific system of tools and methods of identifying, individuating and distinguishing objects from a scientific theory domain. (...) The role of vacuum conception and the idea of existence (actual and potential, observable and nonobservable, virtual and hidden) types were analyzed. In collaboration with S.Crymski heuristic and regulative functions of categories of substance, world as a whole as well as postulates of relativity and absoluteness, and anthropic and self-development principles were singled out. Elaborating Kopnin’s view of scientific theories as a practically effective and relatively true mapping of their domains, the author in collaboration with M. Burgin have originated the unified structure-nominative reconstruction (model) of scientific theory as a knowledge system. According to it, every scientific knowledge system includes hierarchically organized and complex subsystems that partially and separately have been studied by standard, structuralist, operationalist, problem-solving, axiological and other directions of the current philosophy of science. 1) The logico-linguistic subsystem represents and normalizes by means of different, including mathematical, languages and normalizes and logical calculi the knowledge available on objects under study. 2) The model-representing subsystem comprises peculiar to the knowledge system ways of their modeling and understanding. 3) The pragmatic-procedural subsystem contains general and unique to the knowledge system operations, methods, procedures, algorithms and programs. 4) From the viewpoint of the problem-heuristic subsystem, the knowledge system is a unique way of setting and resolving questions, problems, puzzles and tasks of cognition of objects into question. It also includes various heuristics and estimations (truth, consistency, beauty, efficacy, adequacy, heuristicity etc) of components and structures of the knowledge system. 5) The subsystem of links fixes interrelations between above-mentioned components, structures and subsystems of the knowledge system. The structure-nominative reconstruction has been used in the philosophical and comparative case-studies of mathematical, physical, economic, legal, political, pedagogical, social, and sociological theories. It has enlarged the collection of knowledge structures, connected, for instance, with a multitude of theoreticity levels and with an application of numerous mathematical languages. It has deepened the comprehension of relations between the main directions of current philosophy of science. They are interpreted as dealing mainly with isolated subsystems of scientific theory. This reconstruction has disclosed a variety of undetected knowledge structures, associated also, for instance, with principles of symmetry and supersymmetry and with laws of various levels and degrees. In cooperation with the physicist Olexander Gabovich the modified structure-nominative reconstruction is in the processes of development and justification. Ideas and concepts were also in the center of Kopnin’s cognitive activity. The author has suggested and elaborated the triplet model of concepts. According to it, any scientific concept is a dependent on cognitive situation, dynamical, multifunctional state of scientist’s thinking, and available knowledge system. A concept is modeled as being consisted from three interrelated structures. 1) The concept base characterizes objects falling under a concept as well as their properties and relations. In terms of volume and content the logical modeling reveals partially only the concept base. 2) The concept representing part includes structures and means (names, statements, abstract properties, quantitative values of object properties and relations, mathematical equations and their systems, theoretical models etc.) of object representation in the appropriate knowledge system. 3) The linkage unites a structures and procedures that connect components from the abovementioned structures. The partial cases of the triplet model are logical, information, two-tired, standard, exemplar, prototype, knowledge-dependent and other concept models. It has introduced the triplet classification that comprises several hundreds of concept types. Different kinds of fuzziness are distinguished. Even the most precise and exact concepts are fuzzy in some triplet aspect. The notions of relations between real scientific concepts are essentially extended. For example, the definition and strict analysis of such relations between concepts as formalization, quantification, mathematization, generalization, fuzzification, and various kinds of identity are proposed. The concepts «PLANET» and «ELEMENTARY PARTICLE» and some of their metamorphoses were analyzed in triplet terms. The Kopnin’s methodology and epistemology of cognition was being used for creating conception of the philosophy of law as elaborating of understanding, justification, estimating and criticizing legal system. The basic information on the major directions in current Western philosophy of law (legal realism, feminism, criticism, postmodernism, economical analysis of law etc.) is firstly introduced to the Ukrainian audience. The classification of more than fifty directions in modern legal philosophy is suggested. Some results of historical, linguistic, scientometric and philosophic-legal studies of the present state of Ukrainian academic science are given. (shrink)

Tranquillity’s Secret Presents A New Understanding Of The World And Ourselves, And A Forgotten Meditation Technique That Protects You From Traumatic Harm. There Is A Way Of Seeing The World Different. -/- My goal in this book is two-fold: to introduce a revolutionary paradigm for understanding ourselves and the world; and to explain an ancient meditation technique that brought me to the insights upon which it is founded. This technique appears in different forms in the extant spiritual and religious traditions (...) over millennia which have used it — and in which it has been acknowledged as the most efficacious way to reach a direct experience of mind, or the most direct path to a union with God. Unfortunately, the proper way to use it has been largely lost over the last few centuries along with a clear understanding of why it was claimed to be so highly efficient. The primary reason for this loss is the mechanical materialism that frames all our scientific knowledge today. Lady Anne Conway, an English philosopher and a contemporary of René Déscartes, the French Metaphysician of the Seventeenth Century, was the first to characterize his philosophy as the “Mechanical philosophy.” It was Déscartes’ fascination with garden automata (moving statues) that he saw throughout Paris during his time, that led to his idea that the bodies of animals are nothing more than machines of varying complexity – which could be replaced by metal cogs, axles, and wheels. This very contemporary idea is in fact his legacy to humanity — along with the mind-body split that it entails — as mechanism became the standard to which Nature and all life was compared, and still is. This was the genesis of the modern reductive scientific understanding of life as discovered mechanisms made up of dead matter. -/- Although Déscartes’ philosophy was not materialism proper, as he held mind to not be material in nature, his was the most significant move to a cognitive framing of all phenomena as the result of mechanical interactions, and he went so far as placing all non-human animals into the machine-only category, because, he argued, they didn’t have minds. While a full account of Déscartes’ thought is not useful in this work, I want to use Lady Conway’s term to make a distinction between a mechanical materialism, which materialism has evolved into, and a less severe understanding that is not so destructive of the primacy of two aspects of being alive — mind and cognizance — which today are asserted to be by-products or epiphenomena of material processes in the brain by strict adherents to the mechanical philosophy. -/- This frame allows nothing but dead matter, and all that is comprised of dead matter, to be entertained as real. Anything beyond that is either ignored, or considered to be nothing more than figments of someone’s imagination — and this both limits and structures our thoughts about everything. Even those who believe they have moved on from this limiting understanding continue to be fenced in by language, which is structured by it — so that there is no escaping its limitations via a simple substitution or redefinition of concepts. Rather, it will take a truly revolutionary new paradigm and a concomitant reframing of our understanding of ourselves, this world, and reality, and how they come together in the new paradigm. I characterize the difficulty of this change as being like that of meeting an alien race and trying to work out how they see reality before communication can begin — which is very difficult to do when one’s own view is so limited. -/- I call this revolutionary paradigm Responsive Naturing. -/- Responsive Naturing replaces the current paradigm and its concomitant idea of deterministic causality which is foundational in scientific practice today. It can do this because, as you will see, it better accounts for all categories of phenomena, and thus includes all the most important human experiences, such as that of being alive, of beauty, of love, and the ultimate unity of all things. Responsive Naturing provides a sound foundation for the sciences, without the imposed limitation of mechanical materialist explanations, so that both science and spirituality can be founded upon this single common understanding of how things work. -/- This novel paradigmatic understanding of reality intrinsically applies to all dimensions of mental phenomena — be it of perceptions, sensations, or thoughts — and from the indeterminacy of quantum mechanics to the stochastic nature of most physical phenomena, to the often accidental, sometimes fortunate, but never sure, character of all human activities. This makes this new paradigm immediately productive in a practical way — it simply works, as I will show. It empowers us in ways that our disjointed and parochial schools of thought lock us out of completely, opening up new possible methods of looking at problems and finding solutions across disciplines. However, understanding the repercussions of the new paradigm upon one’s cognitive frame and the concomitant structure of language is difficult to comprehend simply because it is alien to the existing frame and paradigm. The impetus to make the effort is becoming quite clear: -/- Today, the sciences are ruled by the limiting cognitive framing of mechanical materialism, and over the last century, the limitations of that frame and its associated scientific paradigm of physical causality have become obvious: science has become schizophrenic. On one hand, some scientists say everything is strictly determined by the laws of nature, and neither free will nor conscious intent have any involvement in what happens; but others say that the state of the underlying quanta that make-up everything is indeterminate until consciously observed with the intent to measure it. Mechanical materialism is why scientists say you have no free will, while you obviously experience that you do — and you are held responsible for your actions by society because you do. It is also why scientists cannot find a non-speculative explanation of consciousness on an evolutionary or biological level, even though being conscious is the most obvious aspect of being alive. And these contradictions have infected every aspect of our lives, and our world, by limiting our ability to see the world any other way. Even the formulation of spiritual doctrines is constrained today by this cognitive frame’s presence in our language. This is not an academic matter, as we see clearly in our failure, so-far, to change the path that has brought us to a global environmental collapse and the ecocide of life on Earth. -/- What is unique about the book’s approach is that it does not speculate about what might be the case, like so much of philosophy does. Instead, it relies upon meditative and contemplative insights that were gleaned directly from a dedicated advanced meditation practice over 60+ years of the author’s life. These insights were then confirmed by subsequent research into similar forms of this advanced meditation technique found across the world and throughout human history. In conjunction with my meditation practice, I have doctoral-level education in Philosophy and a 30-year career in Software Engineering. The latter was in part focused on automated software development, during which I was confronted with the unsolvable enigma — within the mechanical materialist understanding that I was enculturated into, and inculcated with — of Human Creativity. An enigma that set me on my path of discovery. -/- I have discovered, and continue to discover, just how productive this novel paradigm is in understanding ourselves and our world, by its ability to explain — in detail — so many of our experiences that are today either inexplicable, paradoxical, or ignored “for the present” by scientists until some hoped for mechanical description can be found. For the most part, scientists constrain themselves to describing mechanisms, but describing how is not explaining why — and that is why so much of our modern knowledge has a best-used-by-date. On the other side, seemingly all spiritual traditions accept this modern characterization of the world, ourselves, and reality that is manifest in our language, so that even spiritual phenomena and ideas are necessarily structured by it. We accept the ideas of separate beings, intentional entities, levels of consciousness, and attainment of enlightenment or unification with God, all of which are necessary because dead matter, and unconsciousness, are considered to be the starting point. It isn’t. Rather than just present this novel paradigm as a fait accompli, the book’s five sections bring the reader through stages of reconfiguration of our understanding: -/- Volume 1. The Way of Unsaying — The need for the articles in the first volume is not to tell the reader how things are, but to unsay the things that they have heard throughout their lives and have taken to heart. This is accomplished by exposing the logical and explanatory limitations of those ideas that usually go unnoticed. This is necessary to do in order to open the reader’s mind to other ways of accounting for phenomena, and navigating life, so that the reader will understand: first, why the meditation technique I will present is so effective; and second, why the novel paradigm that I propose will truly advance human knowledge and enable us to change our way of being in the world. In order to liberate oneself from seeing the world in a particular way I use skillful means to unseat all the understandings that we have all been inculcated with. This can be destabilizing, and you might find yourself getting annoyed, or even frightened. To paraphrase a Buddhist proverb: Better not to start; but if started, better to finish: -/- Volume 2. The Way of Contemplation — In this volume, the paradigm of Responsive Naturing is developed, building upon the dialogs in volume 1. This volume challenges the reader, since breaking free of one’s existing cognitive frame and paradigmatic understanding is not a trivial exercise, and neither is restructuring one’s thoughts to fit into a new paradigm. This section explains what Responsive Naturing means, how it works in both spiritual and scientific senses, my specific arguments for why it is the answer to our need for a better way to account for phenomena and experience, and how our way of being in the world can change because of it. I attempt to show, via a myriad of independent fields of study, just how powerful this paradigm is in explaining the various phenomena that until now, either had no scientific explanation, or had an incoherent and never proven one. -/- Volume 3. The Way of Tradition — This volume provides the reader with traditional descriptions of similar types of meditation to that which I am presenting. These techniques are related by the unusual support for meditation that they use: that of Inner Spontaneous Sound. This information is provided for two reasons: 1) to validate the technique I present in volume 4, The Way of Meditation, by showing the high esteem that these techniques have been held in by all spiritual traditions, and 2) to present a rational explanation for the technique’s effectiveness, based upon responsive naturing. Volume 4. The Way of Meditation — This volume describes the practice that I call “Great Responsiveness Meditation” which will allow the reader to: 1) engage in a long-term meditative and contemplative practice in order to attain the insights that are the foundation for the novel paradigm that I am presenting; and 2) to benefit from two unique side-effects of using inner spontaneous sound: one which protects the meditator during traumatic and extreme emotional experiences, especially of the kind now expected because of the current global environmental and societal crises; and the other — which is widely attested to — is an alchemical-like change in the meditator, who quickly displays compassion without self-centered concern. In Buddhism, this is known by the Sanskrit word “Mahākaruṇā,” which is the type of responsive compassion displayed by all enlightened beings. It is a permanent change in how we live our life, and it enables each of us to overcome our worst inculcated selfish behaviors. (shrink)

In the article, the authors attempt to analyze the various origins of libertarian paternalism - political, social, cultural, and try to explore the essence of this social and social phenomenon. Libertarian paternalism has both positive and negative features, which are actualized, in turn, by modern planetary challenges.The aim and the tasks: analysis of the essence of the social phenomenon of libertarian paternalism, and the study of its origins - political, social, cultural. Research methods are historical, structural and functional, systemic and (...) equitable.For the revision of specific projects, it is also the principle of consistency, objectivity, convergence from the abstract to the concrete. Research results: Democracy and human rights have found themselves in the grip of challenges, to which both the government and the private sector of the economy in particular react in a peculiar way. In the civilized world, the problem of social protection is acute; an ordinary person dramatically perceives the massive pressure of advertising, the media, certain structures that are interested, first of all, in the early sale of their products - material, spiritual and social. Libertarian paternalism is seen by the authors as a possible way to reconcile these issues, especially from the point of view of protecting the human rights and freedoms. Discussion. In this regard, other authors note that in the practical implementation of Nudge technology, people rarely follow the ideal interpretation of private well-being in terms of full satisfaction of needs. Opponents suggest in this regard that people can be guided by temporary benefits in terms of irrational consumer behavior, that is, the socio-psychological bases of consumerism are affected. Conclusion. Libertarian paternalism was created as a reaction to political, economic and sociocultural changes in society under the impact of globalization, informatization and revision of social programs in the governments.The concept of libertarian paternalism and its practical implementation of nudge technology is relevant and promising in the context of a constant increase in the level of welfare of citizens. Libertarian paternalism affects the most subtle sociophilosophical, socio-psychological elements of the consciousness of an individual who has become hostage to government programs and private projects. The price of a rational choice of an individual is his own freedom, in the context of modern realities of social life. (shrink)

How can we understand the world as a whole instead of separate natural and human realms? Joseph T. Rouse proposes an approach to this classic problem based on radical new conceptions of both philosophical naturalism and scientific practice.

Social constructionism about race is a common view, but there remain questions about what exactly constitutes constructed race. Some hold that our concepts and conceptual practices construct race, and some hold that the causal consequences of these concepts and conceptual practices also play a role. But there is a third option, which is that the causal effects of our concepts and conceptual practices constitute race, but not the concepts and conceptual practices themselves. This paper (...) reconsiders an argument for the reality of race that grows out of the role of racial kinds in social scientific generalizations. It then uses recent work on the correlation of racial attitudes with behaviors to raise questions about the sufficiency, and perhaps also the necessity, of our concepts and conceptual practices in constituting constructed race, thus understood. (shrink)

This volume addresses fundamental issues in the philosophy of science in the context of two most intriguing fields: biology and economics. Written by authorities and experts in the philosophy of biology and economics, Mechanism and Causality in Biology and Economics provides a structured study of the concepts of mechanism and causality in these disciplines and draws careful juxtapositions between philosophical apparatus and scientific practice. By exploring the issues that are most salient to the contemporary philosophies of biology (...) and economics and by presenting comparative analyses, the book serves as a platform not only for gaining mutual understanding between scientists and philosophers of the life sciences and those of the social sciences, but also for sharing interdisciplinary research that combines both philosophical concepts in both fields. -/- The book begins by defining the concepts of mechanism and causality in biology and economics, respectively. The second and third parts investigate philosophical perspectives of various causal and mechanistic issues in scientific practice in the two fields. These two sections include chapters on causal issues in the theory of evolution; experiments and scientific discovery; representation of causal relations and mechanism by models in economics. The concluding section presents interdisciplinary studies of various topics concerning extrapolation of life sciences and social sciences, including chapters on the philosophical investigation of conjoining biological and economic analyses with, respectively, demography, medicine and sociology. (shrink)

Powers, capacities and dispositions (in what follows I will use these terms synonymously) have become prominent in recent debates in metaphysics, philosophy of science and other areas of philosophy. In this paper I will analyse in some detail a well-known argument from scientific practice to the existence of powers/capacities/dispositions. According to this argument the practice of extrapolating scientific knowledge from one kind of situation to a different kind of situation requires a specific interpretation of laws of (...) nature, namely as attributing dispositions to systems. My main interest will be to discuss what characteristics these dispositions need to have in order to account for the scientific practice in question. I will furthermore assess whether the introduction of dispositions in the context of the extrapolation argument can be described as a ‘revitalization’ or as a ‘return’ to those notions repudiated by early modern philosophers. More particularly I will argue for the following claims: I. In repudiating scholastic terminology, including substantial forms with their causal powers, post-cartesian philosophers focussed on a concept of causation that was much stronger than 21st century conceptions of causation. For this reason alone, whatever ‘causal’ is supposed to mean in today’s causal powers, embracing causal powers is not a simple return to a pre-cartesian notion. II. The dispositions presupposed in scientific practice need not (and should not) be construed in causal terms (whether strong or weak). III. While some early modern philosophers contrasted the characterisation of the natural world in terms of substantial forms (and their causal powers) on the one hand and a mathematical characterization on the other and suggested that these approaches are incompatible, the dispositions postulated by the extrapolation argument to account for scientific practice are themselves characterized in mathematical terms. More precisely: The behaviour the systems are disposed to display is – at least in physics – often characterized in mathematical terms. IV. The dispositions assumed in the law-statements in scientific practice are determinable rather than determinate properties. (shrink)

& Carnegie Mellon University Abstract The rationality of human causal judgments has been the focus of a great deal of recent research. We argue against two major trends in this research, and for a quite different way of thinking about causal mechanisms and probabilistic data. Our position rejects a false dichotomy between "mechanistic" and "probabilistic" analyses of causal inference -- a dichotomy that both overlooks the nature of the evidence that supports the induction of mechanisms and misses (...) some important probabilistic implications of mechanisms. This dichotomy has obscured an alternative conception of causal learning: for discrete events, a central adaptive task is to induce causal mechanisms in the environment from probabilistic data and prior knowledge. Viewed from this perspective, it is apparent that the probabilistic norms assumed in the human causal judgment literature often do not map onto the mechanisms generating the probabilities. Our alternative conception of causal judgment is more congruent with both scientific uses of the notion of causation and observed causal judgments of untutored reasoners. We illustrate some of the relevant variables under this conception, using a framework for causal representation now widely adopted in computer science and, increasingly, in statistics. We also review the formulation and evidence for a theory of human causal induction (Cheng, 1997) that adopts this alternative conception. (shrink)

Policymakers who seek to make scientifically informed decisions are constantly confronted by scientific uncertainty and expert disagreement. This thesis asks: how can policymakers rationally respond to expert disagreement and scientific uncertainty? This is a work of non-ideal theory, which applies formal philosophical tools developed by ideal theorists to more realistic cases of policymaking under scientific uncertainty. I start with Bayesian approaches to expert testimony and the problem of expert disagreement, arguing that two popular approaches— supra-Bayesianism and the (...) standard model of expert deference—are insufficient. I develop a novel model of expert deference and show how it can deal with many of these problems raised for them. I then turn to opinion pooling, a popular method for dealing with disagreement. I show that various theoretical motivations for pooling functions are irrelevant to realistic policymaking cases. This leads to a cautious recommendation of linear pooling. However, I then show that any pooling method relies on value judgements, that are hidden in the selection of the scoring rule. My focus then narrows to a more specific case of scientific uncertainty: multiple models of the same system. I introduce a particular case study involving hurricane models developed to support insurance decision-making. I recapitulate my analysis of opinion pooling in the context of model ensembles, confirming that my hesitations apply. This motivates a shift of perspective, to viewing the problem as a decision theoretic one. I rework a recently developed ambiguity theory, called the confidence approach, to take input from model ensembles. I show how it facilitates the resolution of the policymaker’s problem in a way that avoids the issues encountered in previous chapters. This concludes my main study of the problem of expert disagreement. In the final chapter, I turn to methodological reflection. I argue that philosophers who employ the mathematical methods of the prior chapters are modelling. Employing results from the philosophy of scientific models, I develop the theory of normative modelling. I argue that it has important methodological conclusions for the practice of formal epistemology, ruling out popular moves such as searching for counterexamples. (shrink)

Achieving understanding of nature is one of the aims of science. In this paper we offer an analysis of the nature of scientific understanding that accords with actual scientific practice and accommodates the historical diversity of conceptions of understanding. Its core idea is a general criterion for the intelligibility of scientific theories that is essentially contextual: which theories conform to this criterion depends on contextual factors, and can change in the course of time. Our analysis provides (...) a general account of how understanding is provided by scientific explanations of diverse types. In this way, it reconciles conflicting views of explanatory understanding, such as the causal-mechanical and the unificationist conceptions. (shrink)

My dissertation combines philosophy of science and political philosophy. Drawing directly on the work of Alasdair MacIntyre and inspired by John Dewey, I develop two rival conceptions of scientific practice. I show that these rivals are closely linked to the two basic sides in the science and values debate -- the debate over the extent to which ethical and political values may legitimately influence scientific inquiry. Finally, I start to develop an account of justice that is sensitive (...) to these legitimate and illegitimate influences. (shrink)

Throughout the history of the philosophy of science, theories have been linked to formulas as a privileged representational format. In this paper, following, I defend a semantic-representational conception of theories, where theories are identified with sets of scientific re-presentations by virtue of their epistemic potential and independently of their format. To show the potential of this proposal, I analyze as a case study the use of phase diagrams in statistical mechanics to convey in a semantically consistent and syntactically correct (...) way theoretical principles such as Liouville’s theorem. I conclude by defending this philosophical position as a tool to show the enormous representational richness underlying scientific practices. (shrink)

Traditional approaches in philosophy of biology focus attention on biological concepts, explanations, and theories, on evidential support and inter-theoretical relations. Newer approaches shift attention from concepts to conceptual practices, from theories to practices of theorizing, and from theoretical reduction to reductive retooling. In this article, I describe the shift from theory-focused to practice-centered philosophy of science and explain how it is leading philosophers to abandon fundamentalist assumptions associated with traditional approaches in philosophy of science and to embrace (...) scientific pluralism. This article comes in three parts, each illustrating the shift from theory-focused to practice-centered epistemology. The first illustration shows how shifting philosophical attention to conceptual practice reveals how molecular biologists succeed in identifying coherent causal strands within systems of bewildering complexity. The second illustration suggests that analyzing how a multiplicity of alternative models function in practice provides an illuminating approach for understanding the nature of theoretical knowledge in evolutionary biology. The third illustration demonstrates how framing reductionism in terms of the reductive retooling of practice offers an informative perspective for understanding why putting DNA at the center of biological research has been incredibly productive throughout much of biology. Each illustration begins by describing how traditional theory-focused philosophical approaches are laden with fundamentalist assumptions and then proceeds to show that shifting attention to practice undermines these assumptions and motivates a philosophy of scientific pluralism. (shrink)

The essays that constitute this dissertation explore three strategies for understanding the role of modality in philosophical accounts of propensities, randomness, and causation. In Chapter 1, I discuss how the following essays are to be considered as illuminating the prospects for these strategies, which I call reductive essentialism, subjectivism and pragmatism. The discussion is framed within a survey of approaches to modality more broadly construed. ;In Chapter 2, I argue that any broadly dispositional analysis of probability as a physical property (...) will either fail to give an adequate explication of probability, or else will fail to provide an explication that can be gainfully employed elsewhere . The diversity and number of arguments suggests that there is little prospect of any successful analysis along these lines. ;The concept of randomness has been unjustly neglected in recent philosophical literature, and when philosophers have thought about it, they have usually acquiesced in views about the concept that are fundamentally flawed. In Chapter 3 I try to redress this. After indicating the ways in which the existing accounts are flawed, I propose that randomness is to be understood as a special case of the epistemic concept of the unpredictability of a process. This proposal arguably captures the intuitive desiderata for the concept of randomness; at least it should suggest that the commonly accepted accounts cannot be the whole story and more philosophical attention needs to be paid. ;Russell famously argued that causation should be dispensed with. He gave two explicit arguments for this conclusion, which can be defused if we loosen the ties between causation and determinism. In Chapter 4, I define a concept of causation which meets Russell's conditions but does not reduce to triviality. Unfortunately, a further serious problem is implicit beneath the details of Russell's arguments, which I call the causal exclusion problem. Meeting this problem involves deploying a pragmatic account of the nature and function of modal concepts. Russell's scruples about causation can be accommodated, even as we partially legitimise the pervasiveness of causal explanations in folk and scientific practice. (shrink)