Imagination occupies a central place in philosophy, going back to Aristotle. However, following a period of relative neglect there has been an explosion of interest in imagination in the past two decades as philosophers examine the role of imagination in debates about the mind and cognition, aesthetics and ethics, as well as epistemology, science and mathematics. This outstanding _Handbook_ contains over thirty specially commissioned chapters by leading philosophers organised into six clear sections examining the most important aspects of the philosophy (...) of imagination, including: Imagination in historical context: Aristotle, Descartes, Hume, Kant, Husserl, and Sartre What is imagination? The relation between imagination and mental imagery; imagination contrasted with perception, memory, and dreaming Imagination in aesthetics: imagination and our engagement with music, art, and fiction; the problems of fictional emotions and ‘imaginative resistance’ Imagination in philosophy of mind and cognitive science: imagination and creativity, the self, action, child development, and animal cognition Imagination in ethics and political philosophy, including the concept of 'moral imagination' and empathy Imagination in epistemology and philosophy of science, including learning, thought experiments, scientific modelling, and mathematics. The Routledge Handbook of Philosophy _of Imagination_ is essential reading for students and researchers in philosophy of mind and psychology, aesthetics, and ethics. It will also be a valuable resource for those in related disciplines such as psychology and art. (shrink)

What is consciousness and why is it so philosophically and scientifically puzzling? For many years philosophers approached this question assuming a standard physicalist framework on which consciousness can be explained by contemporary physics, biology, neuroscience, and cognitive science. This book is a debate between two philosophers who are united in their rejection of this kind of "standard" physicalism - but who differ sharply in what lesson to draw from this. Amy Kind defends dualism 2.0, a thoroughly modern version of dualism (...) (the theory that there are two fundamentally different kinds of things in the world: those that are physical and those that are mental) decoupled from any religious or non-scientific connotations. Daniel Stoljar defends non-standard physicalism, a kind of physicalism different from both the standard version and dualism 2.0. The book presents a cutting-edge assessment of the philosophy of consciousness and provides a glimpse at what the future study of this area might bring. (shrink)

Despite their intuitive appeal and a long philosophical history, imagery-based accounts of the imagination have fallen into disfavor in contemporary discussions. The philosophical pressure to reject such accounts seems to derive from two distinct sources. First, the fact that mental images have proved difficult to accommodate within a scientific conception of mind has led to numerous attempts to explain away their existence, and this in turn has led to attempts to explain the phenomenon of imagining without reference to such (...) ontologically dubious entities as mental images. Second, even those philosophers who accept mental images in their ontology have worried about what seem to be fairly obvious examples of imaginings that occur without imagery. In this paper, I aim to relieve both these points of philosophical pressure and, in the process, develop a new imagery-based account of the imagination: the imagery model. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Imagination in Inquiry by A. Pablo IannoneAmy KindIANNONE, A. Pablo. Imagination in Inquiry. Lanham, Md.: Lexington Books, 2022. xxvi + 254 pp. Cloth, $110.00; eBook $45.00Though imagination is often associated with the fanciful and the fictional, over the course of the last decade philosophers have begun to devote considerable attention to more practical uses of imagination. Philosophers of imagination have increasingly focused on ways in which imagination can (...) play an important epistemic role in activities such as decision-making, planning, and scientific discovery; more generally, there has been attention to a variety of ways in which imagination can teach us about the world in which we live. Iannone’s discussion in Imagination in Inquiry can be seen as part of this general trend—even if his discussion is not itself situated directly within contemporary philosophy of imagination but, rather, in a broader interdisciplinary approach.Iannone works with an expansive conception of what imagination is. In his view, we should not limit our understanding of imagination simply to the ability to generate images. Rather, imagination is a diverse set of different abilities that aim “at figuring out cognitively, emotively, or practically, alternatives for dealing with actual, probable, plausible, foreseeable, or merely possible challenges or problems, abstract or concrete, theoretical or practical being faced, or notions being considered, and determining or deciding which is (are) preferable in the circumstances, and acting accordingly.” Moreover, this set of abilities should not be seen as operating in isolation; rather, imagination functions as part of an ecology of human abilities. Iannone refers to his view of imagination as the “homeostatic model,” so called because he sees imaginative processes as maintaining stability by way of a system of self-correcting feedback and methods for incorporating and adjusting to any new information received.Iannone also operates with an expansive conception of what counts as practical use of imagination. In his view, imagination is put to practical use in a wide range of circumstances, for example, when a dancer imagines the next steps of a dance in the process of spontaneous improvising, when a combatant imagines how to block an expected blow from an opponent, and when an environmental activist imagines a new set of corrective policies to address pollution. All these uses fall under the activity of what Iannone calls “inquiry,” that is, the activity of finding a solution to a problem or challenge. The problems and challenges that might prompt the use of imagination can be both personal and interpersonal, and the imaginative processes used will involve strategies such as discovery, creation, and anticipation.In the first part of the book, Iannone develops his basic conceptual apparatus. In the next part of the book, he puts this apparatus to work in the context of philosophy, that is, he shows how imagination plays a role in philosophical inquiry. In the third part of the book, he looks at the role of imagination in other disciplines such as sociology and psychology. Here, the interdisciplinary nature of his discussion is especially on display. In the fourth part of the book, he applies his model of imagination to a number of different contexts; in particular, he discusses the role of [End Page 354] imagination in language, in humor, in vision (both at the personal and the societal level), and in morality. Finally, the last part of the book offers a variety of case studies involving dance, technology, and artificial intelligence. Of the four chapters in this part of the book, three are written by other authors: two by Alejandra Iannone, a scholar and practitioner of dance and theater (and the author’s daughter), and one by Rocci Luppicini, an expert in technology studies. In light of the explosive pace with which new AI technologies are being developed, the book’s discussion of whether and how such technologies present challenges for our capacity for imagination is especially timely and important.In addition to affirming the practical importance of imagination, Iannone also affirms the practical importance of nurturing imagination—something he repeats at several points throughout the book. But how do we do this? One natural way that imagination is nurtured is simply by its regular use... (shrink)

While the philosophical study of mind has always required philosophers to attend to the scientific developments of their day, from the twentieth century onwards it has been especially influenced and informed by psychology, neuroscience, and computer science. Philosophy of Mind in the Twentieth and Twenty-First Centuriesprovides an outstanding survey of the most prominent themes in twentieth-century and contemporary philosophy of mind. It also looks to the future, offering cautious predictions about developments in the field in the years to come. (...) Following an introduction by Amy Kind, twelve specially commissioned chapters by an international team of contributors discuss key topics, thinkers, and debates, including: the phenomenological tradition, the mind-body problem, theories of consciousness, theories of perception, theories of personal identity, mental causation, intentionality, Wittgenstein and his legacy, cognitive science, and future directions for philosophy of mind. Essential reading for students and researchers in philosophy of mind and philosophy of psychology, Philosophy of Mind in the Twentieth and Twenty-First Centuriesis also a valuable resource for those in related disciplines such as psychology and cognitive science. (shrink)

Richard Boyd’s Homeostatic Property Cluster Theory is becoming the received view of natural kinds in the philosophy of science. However, a problem with HPC Theory is that it neglects many kinds highlighted by scientific classifications while at the same time endorsing kinds rejected by science. In other words, there is a mismatch between HPC kinds and the kinds of science. An adequate account of natural kinds should accurately track the classifications of successful science. (...) We offer an alternative account of natural kinds that better recognizes the diversity of epistemic aims scientists have for constructing classifications. That account introduces the idea of a classificatory program and provides criteria for judging whether a classificatory program identifies natural kinds. (shrink)

The aim of this article is to discuss the relation between indigenous and scientific kinds on the basis of contemporary ethnobiological research. I argue that ethnobiological accounts of taxonomic convergence-divergence patters challenge common philosophical models of the relation between folk concepts and natural kinds. Furthermore, I outline a positive model of taxonomic convergence-divergence patterns that is based on Slater's [2014] notion of “stable property clusters” and Franklin-Hall's [2014] discussion of natural kinds as “categorical bottlenecks.” Finally, I (...) argue that this model is not only helpful for understanding the relation between indigenous and scientific kinds but also makes substantial contributions to contemporary debates about natural kinds.to contemporary debates about natural kinds. (shrink)

The following paper attempts to explore, criticizeand develop Thomas Kuhn's mostmature – and surprisingly neglected – view ofincommensurability. More specifically, itfocuses on (1) undermining an influential picture ofscientific kinds that lies at the heartof Kuhn's understanding of taxonomic incommensurability;(2) sketching an alternativepicture of scientific kinds that takes advantage ofKuhn's partially developed theory ofdisciplinary matrices; and (3) using these two resultsto motivate revisions to Kuhn'stheory of taxonomic incompatibility, as well as, tothe purported bridge betweentaxonomic incompatibility and some of (...) the traditionalproblems associated withincommensurability. (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)

Marc Ereshefsky’s project of eliminative pluralism holds that, as there is no unifying feature among all species concepts, we ought to doubt the existence of the species category. Here, I argue that one promising strategy for saving the species category is to reframe it as a natural kind after the practice turn. I suggest situating the species category within a recent account of natural kinds proposed by Marc Ereshefsky and Thomas Reydon called “scientific kinds”. Scientific (...) class='Hi'>kinds highlight ontological boundaries. More importantly, they recognize boundaries drawn from the lab and the field, not only from the armchair. The point of this exercise is to situate the species category within an account of natural kinds that is sensitive to scientific practice. In order to argue for a realist interpretation of the species category, and not merely a pragmatic one, I rely on an approach to scientific metaphysics from Ken Waters that shifts the attention from “theory focused” to “practice-centered” analysis. (shrink)

Some scientific categories seem to correspond to genuine features of the world and are indispensable for successful science in some domain; in short, they are natural kinds. This book gives a general account of what it is to be a natural kind and puts the account to work illuminating numerous specific examples.

This edited volume of 13 new essays aims to turn past discussions of natural kinds on their head. Instead of presenting a metaphysical view of kinds based largely on an unempirical vantage point, it pursues questions of kindedness which take the use of kinds and activities of kinding in practice as significant in the articulation of them as kinds. The book brings philosophical study of current and historical episodes and case studies from various scientific disciplines (...) to bear on natural kinds as traditionally conceived of within metaphysics. Focusing on these practices reveals the different knowledge-producing activities of kinding and processes involved in natural kind use, generation, and discovery. -/- Specialists in their field, the esteemed group of contributors use diverse empirically responsive approaches to explore the nature of kindhood. This groundbreaking volume presents detailed case studies that exemplify kinding in use. Newly written for this volume, each chapter engages with the activities of kinding across a variety of disciplines. Chapter topics include the nature of kinds, kindhood, kinding, and kind-making in linguistics, chemical classification, neuroscience, gene and protein classification, colour theory in applied mathematics, homology in comparative biology, sex and gender identity theory, memory research, race, extended cognition, symbolic algebra, cartography, and geographic information science. -/- The volume seeks to open up an as-yet unexplored area within the emerging field of philosophy of science in practice, and constitutes a valuable addition to the disciplines of philosophy and history of science, technology, engineering, and mathematics. -/- Contributions from a diverse group of established and junior scholars in the fields of Philosophy and History and Philosophy of Science including Hasok Chang, Jordi Cat, Sally Haslanger, Joyce C. Havstad, Catherine Kendig, Bernhard Nickel, Josipa Petrunic, Samuli Pöyhönen, Thomas A. C. Reydon, Quayshawn Spencer, Jackie Sullivan, Michael Wheeler, and Rasmus Grønfeldt Winther. (shrink)

Temporal externalism (TE) is the thesis (defended by Jackman (1999)) that the contents of some of an individual’s thoughts and utterances at time t may be determined by linguistic developments subsequent to t. TE has received little discussion so far, Brown 2000 and Stoneham 2002 being exceptions. I defend TE by arguing that it solves several related problems concerning the extension of natural kind terms in scientifically ignorant communities. Gary Ebbs (2000) argues that no theory can reconcile our ordinary, practical (...) judgments of sameness of extension over time with the claim that linguistic usage determines word extensions. I argue that Ebbs shows at most that no theory other than TE can effect this reconciliation. Furthermore, while Ebbs’ argument undermines Jessica Brown’s solutions to two closely related problems about natural kind term extensions (Brown 1998), TE can solve both problems without difficulty. Some criticisms of TE are briefly addressed as well. (shrink)

Discussions over whether these natural kinds exist, what is the nature of their existence, and whether natural kinds are themselves natural kinds aim to not only characterize the kinds of things that exist in the world, but also what can knowledge of these categories provide. Although philosophically critical, much of the past discussions of natural kinds have often answered these questions in a way that is unresponsive to, or has actively avoided, discussions of the empirical (...) use of natural kinds and what I dub “activities of natural kinding” and “natural kinding practices”. The natural kinds of a particular discipline are those entities, events, mechanisms, processes, relationships, and concepts that delimit investigation within it—but we might reasonably ask: How are these natural kinds discovered?, How are they made?, Are they revisable?, and Where do they come from? A turn to natural kinding practices reveals a new set of questions open for investigation: How do natural kinds explain through practice?, What are natural kinding practices and classifications and why should we care?, What is the nature of natural kinds viewed as a set of activities?, and How do practice approaches to natural kinds shape and reconfigure scientific disciplines? Natural kinds have traditionally been discussed in terms of how they classify the contents of the world. The metaphysical project has been one which identifies essences, laws, sameness relations, fundamental properties, and clusters of family resemblances and how these map out the ontological space of the world. But actually how this is done has been less important in the discussion than the resultant categories that are produced. I aim to rectify these omissions and suggest a new metaphysical project investigating kinds in practice. (shrink)

Both lay people and scientists organize the world around them by categorizing particular things as belonging to kinds. Scientists speak and theorize about various kinds of things, like hydrogen, gold, and water; electron and neutron; Canis lupus and Felis catus; igneous rock, sedimentary rock, and metamorphic rock; schizophrenia, psychopathy, and autism; Caucasian, African, and Amerindian. Given this variety of scientific kind categories, one fundamental question for philosophers of science is whether any of these kinds really are (...) natural kinds, and if so, what it is that constitutes their naturalness.nbsp;is to say, when we classify particular things as belonging to the same kind, is it ever the case that they really or naturally belong to the same kind? Do we ever carve the world at its joints, so to speak? Or, are there rather just many different ways in which we, humans, decide to classify particulars into kinds, each possible classification as conventional as any other? In this dissertation, a realist account of natural kinds is defended, according to which some kind classifications are more natural than others. It is argued that the naturalness of scientific kinds can be accounted for by the Causal Unification Theory. According to this view, the naturalness of a kind category lies in the contribution this category makes to our epistemic practices, as a result of accommodating these practices to a causally unified group of properties. Because the properties of natural kind-members are causally unified, they ground multiple causally sustained generalizations. Thus, natural kinds are the metaphysical grounds of systematic scientific research by allowing for multiple inductive generalizations and predictions, and for unified explanations. This view is developed in response to the historically most important theories about natural kinds and several more recent ones. The Causal Unification Theory of natural kinds is then put to work to elucidate the naturalness of two controversial humannbsp;classifications, namely the biological classification of human races and the social psychological classification of homophobes. The current metaphysical race debate is criticized for being too dependent on broad philosophical issues, and it is shown that asking about the naturalness of races, rather than about their existence, allows for a more nuanced debate that is to a larger extent dependent on empirical results. The example of homophobia is discussed in relation to the worry that the normative dimension of many human kinds diminishes the extent to which they can be considered natural kinds. It is argued that we should not be too pessimistic, but that there is indeed reason for concern. To illustrate this, a case is made that the measurement of homophobia is inflated as a result of the normative dimension of this kind. (shrink)

The essays in this volume of the Australasian Studies in History and Philosophy of Science series are devoted to the subjects of natural kinds, scientific ...

Research on computational models of scientific discovery investigates both the induction of descriptive laws and the construction of explanatory models. Although the work in law discovery centers on knowledge‐lean approaches to searching a problem space, research on deeper modeling tasks emphasizes the pivotal role of domain knowledge. As an example, our own research on inductive process modeling uses information about candidate processes to explain why variables change over time. However, our experience with IPM, an artificial intelligence system that implements (...) this approach, suggests that process knowledge is insufficient to avoid consideration of implausible models. To this end, the discovery system needs additional knowledge that constrains the model structures. We report on an extended system, SC‐IPM, that uses such information to reduce its search through the space of candidates and to produce models that human scientists find more plausible. We also argue that although people carry out less extensive search than SC‐IPM, they rely on the same forms of knowledge—processes and constraints—when constructing explanatory models. (shrink)

Factual statements that might qualify for the status of law statements are classed from various philosophically relevant standpoints (referents, precision, structure of predicates, extension, systemicity, inferential power, inception, ostensiveness, testability, levels, and determination categories). More than seven dozen of not mutually exclusive kinds of lawlike statements emerge. Strictly universal and counterfactually powerful statements are seen to constitute just one kind of lawlike statements; classificatory and some statistical laws, e.g., are shown not to comply with the requirements of universality and (...) counterfactual force. Conditions for lawlike statements to be called laws are then examined, and a liberal criterion of lawfulness is finally proposed, which reads thus: A proposition is a law statement if and only if it is a posteriori (not logically true), general in some respect (does not refer to unique objects), has been satisfactorily corroborated for the time being in some domain, and belongs to a theory (whether adult or embryonic). It is claimed that criteria of laws change alongside with the emergence of new usages of the term 'law', and that by adopting a liberal criterion of lawfulness we would conform to contemporary usage and would cease inhibiting the search for regularities in the sciences of man. (shrink)

The concept of natural kind is center stage in the debates about scientific realism. Champions of scientific realism such as Richard Boyd hold that our most developed scientific theories allow us to “cut the world at its joints” (Boyd, 1981, 1984, 1991). In the long run we can disclose natural kinds as nature made them, though as science progresses improvements in theory allow us to revise the extension of natural kind terms.

Agent-based modelling has become a well-established method in social epistemology and philosophy of science but the question of what kind of explanations these models provide remains largely open. This paper is dedicated to this issue. It starts by distinguishing between real-world phenomena, real-world possibilities, and logical possibilities as different kinds of targets which agent-based models can represent. I argue that models representing the former two kinds provide how-actually explanations or causal how-possibly explanations. In contrast, models that represent logical (...) possibilities provide epistemically opaque how-possibly explanations. While highly idealised ABMs in the form in which they are initially proposed typically fall into the last category, the epistemic opaqueness of explanations they provide can be reduced by validation procedures. To this purpose, an examination of results of simulations in terms of classes of models can be particularly helpful. I illustrate this point by discussing a class of ABMs of scientific interaction and the claim that a high degree of interaction can impede scientific inquiry. (shrink)

What, for Kant, is the semantic status of the proposition: Water is H2O? Is it analytic or synthetic? The question is not one of merely esoteric import since an answer to it would constitute a statement about the meaningfulness of all our scientific propositions. And, insofar as the Critique is a defense of the possibility of the natural sciences, it seems that we should be able to find in it the answer to our question. Further, we should be able (...) to find an answer to the question of whether or not Kant is a scientific essentialist. I attempt to show that he is not an essentialist despite the fact that his semantics of natural kind terms greatly resembles that of some contemporary authors who are essentialists and take their semantic theories to provide evidence for their views. One way to go about this would be simply to locate Kant's criteria for the analytic/synthetic distinction and then to place the proposition in the category dictated by those criteria. Rather than employ this method, I will examine instead some of Kant's own examples. The hope is that by means of the examples the criteria themselves will achieve a greater degree of clarity and that through this clarification Kant's position will emerge as a genuine alternative to contemporary positions. (shrink)

In recent decades, more and more works have appeared, the authors of which are trying to predict possible scenarios for the future development of mankind. This article discusses 5 such scenarios: F. Fukuyama believes that all peoples and countries of the globe in the XXI century will develop in the direction of building a liberal-democratic society; Representatives of the Club of Rome in their latest report, based on statistical data of industrial development, substantiate the idea that by the middle of (...) the XXI century. the Earth’s biosphere will become unsuitable for human life and humanity will begin to die out; representatives of the transhumanist movement in their “Manifesto” set themselves the goal of replacing the human biological body with an artificial body by 1245 and thereby saving people from diseases, from old age and even from death itself; English economist D. Susskind in his book “The Future Without Jobs” predicts that in the next two to three decades, robots and artificial intelligence will force people out of all areas of production and discusses the question of how people who are deprived of the opportunity to work will live; Finally, the Israeli historian Yu.N. Harari in his extensive work “Homo Deus” paints a picture of the fact that scientific and technological progress will turn “reasonable man” into “divine man” in the near future. Assessing all these scenarios for the future development of mankind, one involuntarily comes to the conclusion that they all speak of the death of mankind in the near future. (shrink)

Arguments from non-causal analogy form a distinctive class of analogical arguments in science not recognized in authoritative classifications by, e.g., Hesse and Bartha. In this paper, I illustrate this novel class of scientific analogies by means of historical examples from physics, biology and economics, at the same time emphasizing their broader significance for contemporary debates in epistemology.

Abstract There are two kinds of beliefs. If the ultimate objective is wellbeing (util- ity), the generated beliefs are “practical.” If the ultimate objective is truth, the generated beliefs are “scientific.” This article defends the practical/scientific belief distinction. The proposed distinction has been ignored by standard rational choice theory—as well as by its two major critics, viz., the Tversky/Kahneman program and the Simon/ Gigerenzer program. One ramification of the proposed distinction is clear: agents who make errors with (...) regard to scientific beliefs (e.g., the conjunction fallacy) should not be taken as committing irrationality—because they are most probably engaging the other kind of maximization, the pursuit of wellbeing. (shrink)

It has often been argued that Humean accounts of natural law cannot account for the role played by laws in scientific explanations. Loewer (Philosophical Studies 2012) has offered a new reply to this argument on behalf of Humean accounts—a reply that distinguishes between grounding (which Loewer portrays as underwriting a kind of metaphysical explanation) and scientific explanation. I will argue that Loewer’s reply fails because it cannot accommodate the relation between metaphysical and scientific explanation. This relation also (...) resolves a puzzle about scientific explanation that Hempel and Oppenheim (Philosophy of Science 15:135–75, 1948) encountered. (shrink)

Nobody wants unnatural kinds. Just as we prefer all natural ingredients in our food, so also we prefer natural kinds in our ontology and epistemology. Philosophers contrast natural with merely “conventional” kinds, and scientists advocate for natural rather than artificial classification systems. A central plank of the desired naturalness is “mind independence”—the property of existing independent of human interests and desires. Natural kinds are discovered, not made. They reflect the structure of the world (“nature’s joints”) and (...) for this reason justify the practice of inductive inference. Conventional kinds, by contrast, are dependent on human classificatory activities. They are created with an end in view and therefore lack “a real existence in nature” (J. S. Mill, A System of Logic, Ratiocinative and Inductive [London: Longmans, 1843], 1:165). Since their existence is dependent on human activities, nominal kinds need not track nature’s joints. Because scientists are interested in groupings that really exist in nature—not those fabricated for human purposes—their classificatory practices aim to achieve natural-kind classifications. Achieving these classifications is crucial to the success of science. (shrink)

I examine the epistemological debate on scientific realism in the context of quantum physics, focusing on the empirical underdetermin- ation of different formulations and interpretations of QM. I will argue that much of the interpretational, metaphysical work on QM tran- scends the kinds of realist commitments that are well-motivated in the light of the history of science. I sketch a way of demarcating empirically well-confirmed aspects of QM from speculative quantum metaphysics in a way that coheres with anti-realist (...) evidence from the history of science. The minimal realist attitude sketched withholds realist com- mitment to what quantum state |Ψ⟩ represents. I argue that such commitment is not required for fulfilling the ultimate realist motiva- tion: accounting for the empirical success of quantum mechanics in a way that is in tune with a broader understanding of how theoretical science progresses and latches onto reality. (shrink)

[full article, abstract in English; only abstract in Lithuanian] This article presents the results of a broader research project which aims to argue for the normativity of scientific laws. Usually scientific laws are regarded as descriptive, which contrasts them to prescriptive norms. To show their normativity, I utilize the logical account of explicitly normative systems by Carlos Alchourrón and Eugenio Bulygin. I identify the characteristic elements of normativity and analyse accounts of implicit normativity in science using those terms (...) to show the affinities of explicit and implicit normativities. The research project continues with the substantiation of the normativity of scientific laws in detail and the results will be presented in Normativity of Scientific Laws. (shrink)

Computational systems biologists create and manipulate computational models of biological systems, but they do not always have straightforward epistemic access to the content and behavioural profile of such models because of their length, coding idiosyncrasies, and formal complexity. This creates difficulties both for modellers in their research groups and for their bioscience collaborators who rely on these models. In this paper we introduce a new kind of visualization that was developed to address just this sort of epistemic opacity. The visualization (...) is unusual in that it depicts the dynamics and structure of a computer model instead of that model’s target system, and because it is generated algorithmically. Using considerations from epistemology and aesthetics, we explore how this new kind of visualization increases scientific understanding of the content and function of computer models in systems biology to reduce epistemic opacity. (shrink)

Many debates in philosophy focus on whether folk or scientific psychological notions pick out cognitive natural kinds. Examples include memory, emotions and concepts. A potentially interesting type of kind is: kinds of mental representations (as opposed, for example, to kinds of psychological faculties). In this chapter we outline a proposal for a theory of representational kinds in cognitive science. We argue that the explanatory role of representational kinds in scientific theories, in conjunction with (...) a mainstream approach to explanation in cognitive science, suggest that representational kinds are multi-level. This is to say that representational kinds’ properties cluster at different levels of explanation and allow for intra- and inter-level projections. (shrink)

Introduction. A human and the world are an organically connected part and whole, they are always a single World, and therefore they can only evolve together, in one direction. The human world consists of many interconnected and interdepend- ent parts. If any one of the parts (for example, technology) begins to dominate and claim the sta- tus of the whole, then the problem of violating the optimal ratio in the coexistence and co-evolutionary development of each of the parts, and hence (...) the whole itself, becomes aggravated. Hence, the eco-humanistic problem arises. The purpose of the work is to present the content and substantiate the theoretical and practical significance of eco-humanism as a new humanitar- ian knowledge and methodology for understanding the specifics of the relationship “man — technical and-technological world”. Methods. The author uses the methods of dia- lectics, systemic and synergetic approaches, the project (projective) method, which is implemented in the design and development of a new philo- sophical and scientific discipline of eco-humanism, and ideas of co-evolution. Scientific novelty of the research. The author determines basic foundations of eco-humanism as a new type of humanitarian knowledge; formulates and meaningfully substan- tiates the main principles of eco-humanism as a methodological setting for the ecologization of a person and the world: optimality, coordination and dominance of the whole (integrity) in relation to its parts. Results. Eco-humanistics is defined as a new type of knowledge about a person and a specific setting of his thinking and practical activities, focused on finding ways and means to achieve op- timality in relation to various aspects (for example, technical and anthropological) in a person’s being to ensure the possibility of their fruitful existence, to preserve and reproduce a person (as a unique integrity) and his world (as a universal integrity), in their interconnected and interdependent unity. Conclusions. The author of the article comes to the conclusion that the theoretical development of eco-humanistics will make it possible to study and analyze the phenomena of modern culture in a more multifaceted way, to get a more accurate interpretation of the ways of human existence and eco-cultural practices that provide the effect of the state of the “ecosystem” in situations of any intense socio-cultural transformations. (shrink)

Can we expect our scientific theories to make up a unified structure, or do they form a kind of “patchwork” whose pieces remain independent from each other? Does the proliferation of sometimes-incompatible representations of the same phenomenon compromise the ability of science to deliver reliable knowledge? Is there a single correct way to classify things that science should try to discover, or is taxonomic pluralism here to stay? These questions are at the heart of philosophical debate on the unity (...) or plurality of science, one of the most central issues in philosophy of science today. This book offers a critical overview and a new structure of this debate. It focuses on the methodological, epistemic, and metaphysical commitments of various philosophical attitudes surrounding monism and pluralism, and offers novel perspectives and pluralist theses on scientific methods and objects, reductionism, plurality of representations, natural kinds, and scientific classifications. (shrink)

Big data biology—bioinformatics, computational biology, systems biology (including ‘omics’), and synthetic biology—raises a number of issues for the philosophy of science. This article deals with several such: Is data-intensive biology a new kind of science, presumably post-reductionistic? To what extent is big data biology data-driven? Can data ‘speak for themselves?’ I discuss these issues by way of a reflection on Carl Woese’s worry that “a society that permits biology to become an engineering discipline, that allows that science to slip into (...) the role of changing the living world without trying to understand it, is a danger to itself.” And I argue that scientific perspectivism, a philosophical stance represented prominently by Giere, Van Fraassen, and Wimsatt, according to which science cannot as a matter of principle transcend our human perspective, provides the best resources currently at our disposal to tackle many of the philosophical issues implied in the modeling of complex, multilevel/multiscale phenomena. (shrink)

In this paper, I assess recent claims in philosophy of science about scientific perspectivism being compatible with realism. I clarify the rationale for scientific perspectivism and the problems and challenges that perspectivism faces in delivering a form of realism. In particular, I concentrate my attention on truth, and on ways in which truth can be understood in perspectival terms. I offer a cost-benefit analysis of each of them and defend a version that in my view is most promising (...) in living up to realist expectations. (shrink)

Scientists use models to understand the natural world, and it is important not to conflate model and nature. As an illustration, we distinguish three different kinds of populations in studies of ecology and evolution: theoretical, laboratory, and natural populations, exemplified by the work of R.A. Fisher, Thomas Park, and David Lack, respectively. Biologists are rightly concerned with all three types of populations. We examine the interplay between these different kinds of populations, and their pertinent models, in three examples: (...) the notion of “effective” population size, the work of Thomas Park on /Tribolium/ populations, and model-based clustering algorithms such as /Structure/. Finally, we discuss ways to move safely between three distinct population types while avoiding confusing models and reality. (shrink)

Philosophical treatments of natural kinds are embedded in two distinct projects. I call these the philosophy of science approach and the philosophy of language approach. Each is characterized by its own set of philosophical questions, concerns, and assumptions. The kinds studied in the philosophy of science approach are projectible categories that can ground inductive inferences and scientific explanation. The kinds studied in the philosophy of language approach are the referential objects of a special linguistic category—natural kind (...) terms—thought to refer directly. Philosophers may hope for a unified account addresses both sets of concerns. This paper argues that this cannot be done successfully. No single account can satisfy both the semantic objectives of the philosophy of language approach and the explanatory projects of the philosophy of science approach. After analyzing where the tensions arise, I make recommendations about assumptions and projects that are best abandoned, those that should be retained, and those that should go their separate ways. I also recommend adopting the disambiguating terminology of “scientific kinds” and “natural kinds” for the different notions of kinds developed in these different approaches. (shrink)

The renowned philosopher and political theorist presents a summation of his influential work in this series of Columbia University lectures. A pioneer in the fields of modern linguistics and cognitive science, Noam Chomsky is also one of the most avidly read political theorist of our time. In this series of lectures, Chomsky presents more than half a century of philosophical reflection on all three of these areas. In precise yet accessible language, Chomsky elaborates on the scientific study of language, (...) sketching how his own work has implications for the origins of language, the close relations that language bears to thought, its eventual biological basis. He expounds and criticizes many alternative theories, such as those that emphasize the social, the communicative, and the referential aspects of language. He also investigates the apparent scope and limits of human cognitive capacities. Moving from language and mind to society and politics, Chomsky concludes with a philosophical defense of a position he describes as "libertarian socialism," tracing its links to anarchism and the ideas of John Dewey, and even briefly to the ideas of Karl Marx and John Stuart Mill. Demonstrating its conceptual growth out of our historical past, he also shows its urgent relation to our present moment. (shrink)

Participation of the Public in Science: Towards a New Kind of Scientific Practice Participation of the public in science has been the object of an increasing number of social and political philosophical studies, but there is still hardly any epistemological study of the topic. While it has been objected that involvement of the public is a threat to the integrity of science, the apparent indifference of philosophers of science seems to testify to its lack of relevance to conceptions of (...) scientific activity. I argue both that it is not a threat to science and that it is relevant to philosophy of science by showing that it constitutes a new kind of epistemic practice. Two main objections to the idea that the involvement of non-scientists, with their situated perspective and contextual values, can form an epistemic practice will be addressed: the first bears on the epistemic potentialities of the cooperation between scientist and non-scientists; the second on the possibility that this cooperation takes the form of a practice. (shrink)

Scientific realism driven by inference to the best explanation (IBE) takes empirically confirmed objects to exist, independent, pace empiricism, of whether those objects are observable or not. This kind of realism, it has been claimed, does not need probabilistic reasoning to justify the claim that these objects exist. But I show that there are scientific contexts in which a non-probabilistic IBE-driven realism leads to a puzzle. Since IBE can be applied in scientific contexts in which empirical confirmation (...) has not yet been reached, realists will in these contexts be committed to the existence of empirically unconfirmed objects. As a consequence of such commitments, because they lack probabilistic features, the possible empirical confirmation of those objects is epistemically redundant with respect to realism. (shrink)

Recent work on Natural Kind Essentialism has taken a deflationary turn. The assumptions about the grounds of essentialist truths concerning natural kinds familiar from the Kripke-Putnam framework are now considered questionable. The source of the problem, however, has not been sufficiently explicated. The paper focuses on the Twin Earth scenario, and it will be demonstrated that the essentialist principle at its core (which I call IDENT)—that necessarily, a sample of a chemical substance, A, is of the same kind as (...) another sample, B, if and only if A and B have the same microstructure—must be re-evaluated. The Twin Earth scenario also assumes the falsity of another essentialist principle (which I call INST): necessarily, there is a 1:1 correlation between (all of ) the chemical properties of a chemical substance and the microstructure of that substance. This assumption will be questioned, and it will be argued that, in fact, the best strategy for defending IDENT is to establish INST. The prospects for Natural Kind Essentialism and microstructural essentialism regarding chemical substances will be assessed with reference to recent work in the philosophy of chemistry. Finally, a weakened form of INST will be presented. (shrink)