Philosophy of Science, Miscellaneous

This paper is essentially a quantum philosophical challenge: starting from simple assumptions, we argue about an ontological approach to quantum mechanics. In this paper, we will focus only on the assumptions. While these assumptions seems to solve the ontological aspect of theory many others epistemological problems arise. For these reasons, in order to prove these assumptions, we need to find a consistent mathematical context (i.e. time reverse problem, quantum entanglement, implications on quantum fields, Schr¨odinger cat states, the role of observer, (...) the role of mind ). (shrink)

Criticisms of Karl Popper’s critical rationalist epistemology are often confused and misleading. In part that is due to Popper’s somewhat lax use of language, in which technical terms are used in more than one sense. I attempt to clarify Popper’s views by regimenting his terminology. The result is offered as a clear and concise exposition of the main points of Popper’s epistemology. This is an updated version of a paper that was published in Cosmos + Taxis 6 (6+7): 49-54 (2019).

This paper attempts to decipher what we really mean when we use the word "Science" by briefly exploring the criterion of "predictive power" with respect to the demarcation problem. It is essentially an articulation of Lakatos' view of Science and attempts to show that predictive power is quintessential to science.

-/- Abstract . In an earlier paper ‘The Topos of Emergence’ (‘TheTopos of Emrgence’, in: Boundaries - The Scientifc Aspects of ANPA 24, (ed. Keith G. Bowden), London 2003, pp 236 –250; cf.also:http://www.academia.edu/1549400/The_Topos_of_Emergence) I introduced a mathematical structure called the topos PrePhys consisting of an ever propagating emergent hierarchy made of a strict n-categorical unfolding of automorphic objects obAM .Later I came to the conclusion that this topos PrePhys perfectly matchs the concept of Gunk introduced under this name by DavidLewis. (...) (cf. D.Lewis, Parts of Classes, Oxford, Cambridge (Mass.)1991, pp 19 –21. (shrink)

The scientific community takes for granted a view of science that may be called standard empiricism. This holds that the basic intellectual aim of science is truth, nothing being presupposed about the truth, the basic method being to assess theories with respect to evidence. A basic tenet of the view is that science must not accept any thesis about the world as a part of scientific knowledge independent of evidence, let alone in violation of evidence. But physics only accepts unified (...) theories, and persistently rejects infinitely many ad hoc rivals that fit the phenomena even better. In persistently rejecting these infinitely many empirically more successful rival theories, physics thereby makes a substantial assumption about the universe – it is such that all ad hoc theories are false – an assumption that is accepted implicitly independently of evidence, even in a sense against the evidence. That contradicts standard empiricism. The scientific community needs to adopt a new conception of science that represents the assumption of physics as a hierarchy of assumptions, thus facilitating the improvement of the assumption that is made, as science proceeds. (shrink)

A human life is meaningful to the extent that it connects with something greater than itself in a way that produces good for others and provides future challenges, past achievements, interpersonal connection and fulfilment for the person whose life it is. Self-fulfilment depends upon self-discovery. Adapting the logic of scientific discovery I suggest that a person can best discover who she is by employing an organised and critical process of conjecture and refutation, testing kinds of life by living them and (...) making judgements concerning her fulfilment. I discuss some practical limitations on this process, particularly our proneness to self-deception. I illustrate these points with autobiographical reflections concerning how poor self-knowledge, in part due to self-deception, brought about my descent into depression, anxiety and uncontrollable bruxism, and how that personal disaster could have been avoided if I had set out to discover myself in an organised and critical way. If one is to discover oneself and lead a fulfilling life, one must be prepared to question and criticise received views and one must welcome challenges and criticism to views that one holds dear and that even seem, at the moment, to be part of one’s identity. A philosophical autobiography should be, amongst other things, an account of the author’s progress, or otherwise, in discovering the type of life that she finds most fulfilling. For someone who pursues an organised project of self-discovery, life and philosophical autobiography become intertwined. (shrink)

The UNBELIEVABLE similar ideas between Theise and Menas’ ideas (2016) and my ideas (2002-2008) in Physics and Cognitive Neuroscience and Philosophy (the mind-brain problem, quantum mechanics, etc.) -/- (2016) Theise D. Neil (Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA) and Kafatos C. Menas (bDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; cSchmid College of Science & Technology, Chapman University, Orange, CA, USA) (2016), REVIEW - Fundamental awareness: A (...) framework for integrating science, philosophy and metaphysics, in COMMUNICATIVE & INTEGRATIVE BIOLOGY, 2016, VOL. 9, NO. 3, e1155010 (19 pages), http://dx.doi.org/10.1080/19420889.2016.1155010 -/- A friend of mine indicated me the strike similarities between Theise and Kafatos’ ideas in their book (Fundamental awareness: A framework for integrating science, philosophy and metaphysics) and my ideas in 2002-20008! I do not have access to this book, but I investigate the ideas that are in a review about this work. Let me introduce the abstract of that Review: -/- The ontologic framework of Fundamental Awareness proposed here assumes that non-dual Awareness is foundational to the universe, not arising from the interactions or structures of higher level phenomena. The framework allows comparison and integration of views from the three investigative domains concerned with understanding the nature of consciousness: science, philosophy, and metaphysics. In this framework, Awareness is the underlying reality, not reducible to anything else. Awareness and existence are the same. As such, the universe is non-material, self-organizing throughout, a holarchy of complementary, process driven, recursive interactions. The universe is both its own first observer and subject. Considering the world to be non-material and comprised, a priori, of Awareness is to privilege information over materiality, action over agency and to understand that qualia are not a “hard problem,” but the foundational elements of all existence. These views fully reflect main stream Western philosophical traditions, insights from culturally diverse contemplative and mystical traditions, and are in keeping with current scientific thinking, expressible mathematically. (shrink)

There was a time in my school years when I have learned about Achilles and Tortoise “paradox” originated from Zeno. It was then clear that the ancient Greeks were arguing about this problem but contemporary science has clarified the issue. Yet to my surprise the problem is still debated over and over, despite the fact there exist mathematical proofs. I feel like reminding myself why this is not a paradox beyond reasonable doubt. This is a draft to a section of (...) a future publication. (shrink)

Summary Analogue models are actual physical setups used to model something else. They are especially useful when what we wish to investigate is difficult to observe or experiment upon due to size or distance in space or time: for example, if the thing we wish to investigate is too large, too far away, takes place on a time scale that is too long, does not yet exist or has ceased to exist. The range and variety of analogue models is too (...) extensive to attempt a survey. In this article, I describe and discuss several different analogue model experiments, the results of those model experiments, and the basis for constructing them and interpreting their results. Examples of analogue models for surface waves in lakes, for earthquakes and volcanoes in geophysics, and for black holes in general relativity, are described, with a focus on examining the bases for claims that these analogues are appropriate analogues of what they are used to investigate. A table showing three different kinds of bases for reasoning using analogue models is provided. Finally, it is shown how the examples in this article counter three common misconceptions about the use of analogue models in physics. (shrink)

Based on an analysis of protective measurements, we show that the quantum state represents the physical state of a single quantum system. This result is more definite than the PBR theorem [Pusey, Barrett, and Rudolph, Nature Phys. 8, 475 (2012)].

It is shown that Uffink's attempt to protect the interpretation of the wave function against protective measurements fails due to several errors in his arguments.

The meaning of the wave function and its evolution are investigated. First, we argue that the wave function in quantum mechanics is a description of random discontinuous motion of particles, and the modulus square of the wave function gives the probability density of the particles being in certain locations in space. Next, we show that the linear non-relativistic evolution of the wave function of an isolated system obeys the free Schrödinger equation due to the requirements of spacetime translation invariance and (...) relativistic invariance. Thirdly, we argue that the random discontinuous motion of particles may lead to a stochastic, nonlinear collapse evolution of the wave function. A discrete model of energy-conserved wavefunction collapse is proposed and shown consistent with existing experiments and our macroscopic experience. Besides, we also give a critical analysis of the de Broglie-Bohm theory, the many-worlds interpretation and other dynamical collapse theories, and briefly discuss the issues of unifying quantum mechanics and relativity. (shrink)

This volume offers a collection of in-depth explorations of pragmatism as a framework for discussions in philosophy of science and metaphysics. Each chapter involves explicit reflection on what it means to be pragmatist, and how to use pragmatism as a guiding framework in addressing topics such as realism, unification, fundamentality, truth, laws, reduction, and more. -/- .

Tom McLeish’s Music and Poetry of Science adds to along and complex literature looking at the creative powers of human genius. In addition to his own scientific field, McLeish draws on art, poetry, novels, music, and BBC television productions. Although positioned in the line of the ‘two cultures’ debate typically associated with C. P. Snow, McLeish reprises William Beveridge’s earlier contribution to that tradition, perhaps, to be aligned,although this McLeish does not do, with Peter Pesic’s Music and the Making of (...) Modern Science . The task of coordinating music, poetry, and science requires more, such that the material hermeneutics of the late Irish-Belgian physicist and philosopher, Patrick Heelan might have offered a basis for fruitful dialogue, although this,too, was a missed opportunity. Given McLeish’s illustration of the beauty key to mathematics in physics via BBC television, it seems an illustration of technological millenarianism via Andrew MacKendrick’s 1951 film, The Man in the White Sui , updated for today, key in a nano-context, might be helpful in raising issues of material‘instability,’ i.e., environmental detritus, nano-waste and pollution. (shrink)

Is art epistemically valuable? Catherine Z. Elgin answers this question in the affirmative. She argues for the epistemic value of art on the basis of her innovative epistemological theory, in which the focus is shifted from knowledge and truth to a non-factive account of understanding. After an exposition and critique of her view, as she develops it in her most recent book “True Enough”, I will build on some of her ideas in order to strengthen her account.

In this paper, we investigate how the life and work of Louis Rougier relate to the broader political dimension of logical empiricist philosophy. We focus on three practical projects of Rougier in the 1930s and 1940s. First, his attempts to integrate French-speaking philosophers into an international network of scientific philosophers by organizing two Unity of Science conferences in Paris. Second, his role in the renewal of liberalism through the organization of the Walter Lippmann Colloquium. Third, Rougier’s attempts at political negotiations (...) between Great Britain and the Vichy regime during the Second World War. These activities of Rougier in the 1930s and 1940s have so far never been discussed as part of a unified project on Rougier’s part. Based on our investigations of these practical projects of Rougier, we argue that Rougier’s relation to logical empiricist philosophers should primarily be understood on the level of action. Rougier’s projects aimed to proliferate the concrete improvement of society and the lives of its citizens by expunging all metaphysical questions and speculations from the sphere of social discourse. Rougier conceived logical empiricist philosophers as allies to achieve such practical effects in society. (shrink)

Abstract: Brentano’s conception of scientific philosophy had a strong influence on his students and on the intellectual atmosphere of Vienna in the late nineteenth century. The aim of this article is to expose Brentano’s conception and to contrast his views with that of two traditions he is said to have considerably influenced: phenomenology and analytic philosophy. I will shed light on the question of how and to what extent Brentano’s conception of philosophy as a rigorous science has had an impact (...) on these two traditions. The discussion will show that both took their liberties in the interpretation of the thesis, a move that allowed them to liberate themselves from Brentano’s inheritance and to fully develop their own philosophical positions. (shrink)

I suspect many philosophers feel the deep reason the topic of scientism matters is that it wrongly questions or impugns the integrity and significance of the discipline of philosophy. Such metaphilosophical concerns may not always be at the forefront during debates about scientism. Sometimes, though, we should engage much broader metaphilosophical issues.

Willem B. Drees’ book defends the humanities as a valuable endeavor in understanding human beings that is vibrant and essential for the academic and non-academic world ... The review highlights two issues, the book's naturalism (presenting the humanities as a human necessity) and the book's idealistic outlook (presenting the humanities as following the value-free ideal).

In this paper, I offer some reasons for thinking that knowledge is a social phenomenon. My argument is based on Helen Longino’s work on scientific knowledge, in particular her 2002 book The Fate of Knowledge. Longino’s basic idea is that a scientific hypothesis or theory is justified when it emerges (relatively) unscathed from social interactions between scientists. If we accept – as Longino and many others do – that knowledge requires justification, it follows that scientific knowledge is a social phenomenon. (...) I argue that much the same goes for other forms of empirical knowledge, such as historical knowledge, various forms of collective knowledge and our knowledge of the ‘social world’. But does it go for empirical knowledge in general? I offer some – admittedly far from conclusive – reasons for thinking that it might. I also argue that, even if it doesn’t, we still need to distinguish between two kinds of knowledge, one of which is constitutively social and the other of which isn’t. Scientific knowledge is a paradigm example of the former and simple perceptual knowledge is a paradigm example of the latter. The end result is a form of pluralism about knowledge. (shrink)

Modern cognitive and clinical psychology offer insight into how people deal with natural disasters. In my methodological paper, I make a strong case for incorporating experimental findings and theoretical concepts of modern psychology into environmental historical disaster research. I show how psychological factors may influence the production and interpretation of historical sources with respect to perceptions of and responses to disasters. While previous psychological approaches to history mostly involve psychoanalysis, I focus on empirical psychology. Specifically, I review a number of (...) well documented heuristics, biases, and memory modulations as described by cognitive psychology. Moreover, I argue that including investigations on disaster related mental disorders would complement the environmental historical research of natural disasters. My approach highlights a strong potential for interdisciplinary collaborations among environmental historians and psychologists. (shrink)

Philosophers of psychology debate, among other things, which psychological models, if any, are (or provide) mechanistic explanations. This should seem a little strange given that there is rough consensus on the following two claims: 1) a mechanism is an organized collection of entities and activities that produces, underlies, or maintains a phenomenon, and 2) a mechanistic explanation describes, represents, or provides information about the mechanism producing, underlying, or maintaining the phenomenon to be explained (i.e. the explanandum phenomenon) (Bechtel and Abrahamsen (...) 2005; Craver 2007). If there is a rough consensus on what mechanisms are and that mechanistic explanations describe, represent, or provide information about them, then how is there no consensus on which psychological models are (or provide) mechanistic explanations? Surely the psychological models that are mechanistic explanations are the models that describe, represent, or provide information about mechanisms. That is true, of course; the trouble arises when determining what exactly that involves. Philosophical disagreement over which psychological models are mechanistic explanations is often disagreement about what it means to describe, represent, or provide information about a mechanism, among other things (Hochstein 2016; Levy 2013). In addition, one's position in this debate depends on a host of other seemingly arcane metaphysical issues, such as the nature of mechanisms, computational and functional properties (Piccinini 2016), and realization (Piccinini and Maley 2014), as well as the relation between models, methodologies, and explanations (Craver 2014; Levy 2013; Zednik 2015). Although I inevitably advocate a position, my primary aim in this chapter is to spell out all these relationships and canvas the positions that have been taken (or could be taken) with respect to mechanistic explanation in psychology, using dynamical systems models and cognitive models (or functional analyses) as examples. (shrink)

The paper traces some of the assumptions that have informed conservative naturalism in linguistic theory, critically examines their justification, and proposes a more liberal alternative.

In this chapter we examine Moti Mizrahi’s claim that philosophers’ opposition of scientism is founded on their worry that scientism poses “a threat to the soul or essence of philosophy as an a priori discipline”. We find Mizrahi’s methodology for testing this thesis wanting. We offer an alternative hypothesis for the increased resistance of scientism: the antipathy started as a reaction to the New Atheist movement. We also consider two varieties of weak scientism, narrow and broad, and argue that narrow (...) versions of scientism draw unnatural and unfounded distinctions within science. Mizrahi belongs somewhere between these two types, but he commits the same mistakes as proponents of the narrow variety. We demonstrate that Mizrahi’s defence of weak scientism is problematic, once again, due to methodological reasons. As an alternative, we propose that weak scientism should be based on epistemic opportunism. Epistemic opportunism explains the success of science with scientists’ willingness to adopt any methods that demonstrably work. We also show how opportunistic scientism can avoid charges of triviality. (shrink)

Curious about something? Google it. Look at it. Ask a question. But is curiosity simply information seeking? According to this exhilarating, genre-bending book, what’s left out of the conventional understanding of curiosity are the wandering tracks, the weaving concepts, the knitting of ideas, and the thatching of knowledge systems—the networks, the relations between ideas and between people. Curiosity, say Perry Zurn and Dani Bassett, is a practice of connection: it connects ideas into networks of knowledge, and it connects knowers themselves, (...) both to the knowledge they seek and to each other. -/- Zurn and Bassett—identical twins who write that their book “represents the thought of one mind and two bodies”—harness their respective expertise in the humanities and the sciences to get irrepressibly curious about curiosity. Traipsing across literatures of antiquity and medieval science, Victorian poetry and nature essays, as well as work by writers from a variety of marginalized communities, they trace a multitudinous curiosity. They identify three styles of curiosity—the busybody, who collects stories, creating loose knowledge network; the hunter, who hunts down secrets or discoveries, creating tight networks; and the dancer, who takes leaps of creative imagination, creating loopy ones. Investigating what happens in a curious brain, they offer an accessible account of the network neuroscience of curiosity. And they sketch out a new kind of curiosity-centric and inclusive education that embraces everyone’s curiosity. The book performs the very curiosity that it describes, inviting readers to participate—to be curious with the book and not simply about it. (shrink)

Artificial intelligence (AI) technologies are used in various domains of human activities, and one of these domains is scientific research. Now, researchers in many scientific areas try to apply AI technologies to their research and automate it. These researchers claim that the ‘automation of science’ will liberate people from non-creative tasks in scientific research, and radically change the overall state of science and technology so that large-scale innovation results. As I see it, the automation of science is remarkable in another (...) respect: since science is one of the most distinctive human activities, the tendency of automating it prompts us to reconsider the aspects of our humanity itself. One of these aspects is concerned with human creativity, on which this article focuses. In this article, I address two questions concerning the automation of science: first, ‘Can AI makes creative discovery?’; second, ‘What implications may the automation of science have on science and society?’. Scientific discovery is said to be one of the most creative phases of scientific research. I show that, though there are no reasons in principle why AI could not make creative discovery, we do not at present have enough knowledge how to realize it. If the automation of science nevertheless proceeds, the cultural values science as a creative activity has might be reduced, and it might alter the state of scientific community and its relationship with society in some undesirable way. Therefore, I conclude, we need to specify desirable ways of introducing AI technologies into science and devise measures against demerits of automating science. (shrink)

All research is immersed in the competition for knowledge, but this is not always governed by fairness. In this opinion article, I elaborate on indicators of unfairness to be found in both evaluation guides and evaluation panels, and I spontaneously offer a number of rules of thumb meant to keep it at bay. Although they are explicitly offered to the Portuguese Foundation for Science and Technology (FCT) and in particular to the evaluation panel for Philosophy, Ethics and Religion of FCT's (...) fifth edition of their Individual Call to Scientific Employment Stimulus, here used as concrete illustrations of unfairness, my rules of thumb are guaranteed to promote fairness in the competition for knowledge in general. (shrink)

The debate concerning the scientific or unscientific status of the social sciences and the question of the (in) applicability of the methods of research in the natural sciences to social investigations are still unsettled in Philosophy of the Social Sciences. Some of the questions which are often asked concerning these issues include: are the social sciences really scientific? Do they merit the name science? Can we apply the same methods used in the natural research to social research? Are the objects (...) of inquiry in both areas the same? Attempts to answer these questions and numerous related others, have polarized Philosophers of the social sciences into two different ideological camps. Those who answer the questions affirmatively are regarded as the naturalists while those who answer negatively are regarded as the anti-naturalists or humanists. However, using the methods of critical argumentation and conceptual clarification, we intend to argue in this paper for a complementary ground between the two. Consequently, we contend that though the methods of the natural and the social sciences are different due to the fact that their respective objects of investigations are not the same, methods of the two fields are imperative to inquiries that would promote human knowledge and aid their intellectual development. This is necessary in order to foster interdisciplinary research and de-compartmentalisation of disciplines. We also intend to argue that the view that the social sciences are not scientific arose from a narrow conception of the term “science.” Our submission, therefore, is that the social sciences, legitimately, are sciences in their own right. (shrink)

In this paper, we will argue that, while Big Data enthusiasts imply that the analysis of massive data sets can produce serendipitous (that is, unexpected and fortunate) discoveries, the way those models are currently designed not only does not create serendipity so easily but also frequently generates zemblanitous (that is, expected and unfortunate) findings.

Hilary Whitehall Putnam was one of the leading philosophers of the second half of the 20th century. As student of Rudolph Carnap's and Hans Reichenbach's, he went on to become not only a major figure in North American analytic philosophy, who made significant contributions to the philosphy of mind, language, mathematics, and physics but also to the disciplines of logic, number theory, and computer science. He passed away on March 13, 2016. The present volume is a memorial to his extraordinary (...) intellectual contributions, honoring his contributions as a philosopher, a thinker, and a public intellectual. It features essays by an international team of leading philosophers, covering all aspects of Hilary Putnam's philosophy from his work in ethics and the history of philosophy to his contributions to the philosophy of science, logic, and mathematics. Each essay is an original contribution. -/- Author information James Conant, Univ. of Chicago/Univ. of Leipzig, USA/Germany; Sanjit Chakraborty, IISER Kolkata, India. (shrink)

In “A Tension in the Strong Program: The Relation between the Rational and the Social”, Shahram Shahryari (2021) advances the following thesis: In his Strong Program in the sociology of science, David Bloor blames traditional philosophy of science for adopting a dualist strategy in explaining scientific developments, as it employs rational explanation for successful science and social explanation for flawed science. Instead, according to Bloor, all scientific developments should be explained monistically, i.e. in terms of social causes. This is also (...) referred to as the Symmetry Principle, and it is a key tenet in the Strong Program. The author detects a tension here, as Bloor apparently asserts that traditional philosophy of science deploys two kinds of explanation, and simultaneously insists that there is only one kind, i.e. social explanation. (shrink)

Which country, politician, or policy is more of a cause of the Covid-19 pandemic death toll? Which of the two factories causally contributed more to the pollution of the nearby river? A wide-ranging portion of our everyday thought and talk, and attitudes rely on a graded notion of causation. However, it is sometimes highlighted that on most contemporary accounts, causation is on-off. Some philosophers further question the legitimacy of talk of degrees of causation and suggest that we avoid it. Some (...) hold that the notion of degrees of causation is an illusion. In this paper, I’ll argue that causation does come in degrees. (shrink)

In this article, an account of the architecture of the cognitive contamination system is offered, according to which the contamination system can generate contamination represen- tations in circumstances that do not satisfy the norms of contamination, including in cases of mere visual contact with disgusting objects. It is argued that this architecture is important for explaining the content, logic, distribution, and persistence of maternal impression beliefs – according to which fetal defects are caused by the pregnant mother’s experiences and actions (...) – which in turn provide important evidence of the architecture of the cognitive contamination system. (shrink)

This article is intended mainly to develop an expository outline of an inherently inconsistent reasoning in the development of quantum mechanics during 1920s, which set up the background of proposing different variants of quantum logic a bit later. We will discuss here two of the quantum logical variants with reference to Hilbert space formulation, based on the proposals of Bohr and Schrödinger as a result of addressing the same kernel of difficulties and will give a relative comparison. Our presentation is (...) fairly informal, as our goal here is to simply sketch the central ideas leaving further details for other occasions. -/- Quanta 2022; 11: 28–41. (shrink)

Se explora cómo la ciencia ciudadana promueve una mejora epistémica tanto en las instituciones científicas como en la sociedad a gran escala. En este sentido, se ofrece una caracterización de la ciencia ciudadana y a partir de ella se muestra cómo la participación de no especialistas contribuye al fortalecimiento epistémico a través de la pluralidad. Además, se examina cómo la inclusión de miembros de la sociedad en la investigación científica es capaz de promover la mejora epistémica de individuos mediante la (...) formación de pensadores críticos. Las conclusiones indican que la ciencia ciudadana puede optimizar estos dos tipos de mejora epistémica por medio del diseño de proyectos que, aunado a la persecución de objetivos propiamente científicos, se dirijan a la obtención de estos bienes. (shrink)

In the wake of the COVID-19 pandemic, many have become increasingly dissatisfied with how science funding is distributed. Traditional grant funding processes are seen as stifling the creativity of researchers, in addition to being bureaucratic, slow, and inefficient. Consequently, there have been increasing popular calls to make “fast funding” – fast, unbureaucratic grant applications – a new standard for scientific funding. Though this approach to funding, implemented by Fast Grants, has been successful as a pandemic response strategy, we believe there (...) are serious costs to its wide-scale adoption, particularly for transparency and equity, and that the purported benefits – increased creativity and efficiency – are unlikely to materialize. While traditional funding mechanisms are certainly not perfect, scientific communities should think twice before adopting fast funding as a new standard for funding. (shrink)

Many have contended that non-classical logicians have failed at providing evidence of paraconsistent logics being applicable in cases of inconsistency toleration in the sciences. With this in mind, my main concern here is methodological. I aim at addressing the question of how should we study and explain cases of inconsistent science, using paraconsistent tools, without ruining into the most common methodological mistakes. My response is divided into two main parts: first, I provide some methodological guidance on how to approach cases (...) of inconsistent science; and second, I focus on a peculiar type of formal methodologies for the scrutiny of inconsistent reasoning, the _Paraconsistent Alternative Approach_ (henceforth, PAA) and argue that PAA can enhance a more accurate understanding of sensible reasoning in inconsistent contexts. (shrink)

Nous examinons l’idée selon laquelle il existerait une sous-discipline en phi-losophie des sciences, la philosophie dans les sciences, dont les chercheurs utili-seraient des outils philosophiques pour avancer des solutions à des problèmes scientifiques. Nous proposons plutôt l’idée que ces outils sont des outils épisté-miques, cognitifs ou intellectuels standards, à l’œuvre dans toute activité ration-nelle, et, par conséquent, ces chercheurs se consacrent à la recherche scienti-fique ou métascientifique.

We examine the idea that there is a sub-discipline in philosophy of science, phi-losophy in science, whose researchers use philosophical tools to advance solu-tions to scientific problems. Rather, we propose that these tools are standard epistemic, cognitive, or intellectual tools at work in all rational activity, and therefore these researchers engage in scientific or metascientific research.

The term scientism is used in several ways. It is used to denote an epistemological thesis according to which science is the source of our knowledge about the world and ourselves. Relatedly, it is used to denote a methodological thesis according to which the methods of science are superior to the methods of non-scientific fields or areas of inquiry, or even used to put forward a metaphysical thesis that what exists is what science says exists. In recent decades, the term (...) scientism has acquired a derogatory meaning when it is used in defense of non-scientific ways of knowing. In particular, some philosophers level the charge of “scientism” against those (mostly scientists) who are dismissive of philosophy. Other philosophers, however, embrace scientism, or some variant thereof, and object to the pejorative use of the term scientism. This book critically examines the arguments for and against scientism of various kinds to answer the central question: does scientism pose an existential threat to philosophy, or should philosophy become more scientific? (shrink)

In this paper, we set out to investigate the following question: if science relies heavily on induction, does philosophy of science rely heavily on induction as well? Using data mining and text analysis methods, we study a large corpus of philosophical texts mined from the JSTOR database (n = 14,199) in order to answer this question empirically. If philosophy of science relies heavily on induction, just as science supposedly does, then we would expect to find significantly more inductive arguments than (...) deductive arguments and abductive arguments in the published works of philosophers of science. Using indicator words to classify arguments by type (namely, deductive, inductive, and abductive arguments), we search through our corpus to find patterns of argumentation. Overall, the results of our study suggest that philosophers of science do rely on inductive inference. But induction may not be as foundational to philosophy of science as it is thought to be for science, given that philosophers of science make significantly more deductive arguments than inductive arguments. Interestingly, our results also suggest that philosophers of science do not rely on abductive arguments all that much, even though philosophers of science consider abduction to be a cornerstone of scientific methodology. (shrink)

Researchers have suggested since the early days of quantum theory that there are strong analogies between quantum phenomena and mental phenomena and these have developed into a vibrant new field of quantum cognition during recent decades. After revisiting some early analogies by Niels Bohr and David Bohm, this paper focuses upon Bohm and Hiley’s ontological interpretation of quantum theory which suggests further analogies between quantum phenomena and biological and psychological phenomena, including the proposal that the human brain operates in some (...) ways like a quantum measuring apparatus. After discussing these analogies I will also consider, from a quantum perspective, Hintikka’s suggestion that Kant’s notion of things in themselves can be better understood by making an analogy between our knowledge-seeking activities and an elaborate measuring apparatus. (shrink)

Solving the “new demarcation problem” requires a distinction between epistemically legitimate and illegitimate roles for non-epistemic values in science. This paper addresses one ‘half’ (i.e. a sub-problem) of the new demarcation problem articulated by the Gretchenfrage: What makes the role of a non-epistemic value in science epistemically illegitimate? I will argue for the Explaining Epistemic Errors (EEE) account, according to which the epistemically illegitimate role of a non-epistemic value is defined via an explanatory claim: the fact that an epistemic agent (...) is motivated by a non-epistemic value explains why the epistemic agent commits a particular epistemic error. The EEE account is inspired by Douglas’ and Steel’s “functionalist” or “epistemic constraint” accounts of epistemic illegitimacy. I will suggest that the EEE account is able to meet two challenges that these two accounts face, while preserving the key intuition underlying both accounts. If my arguments succeed, then the EEE account provides a solution to one half of the new demarcation problem (by providing a definition of what makes the role of a non-epistemic value epistemically illegitimate) and it opens up new ways for addressing the other half (i.e. characterizing an epistemically legitimate role of non-epistemic values). (shrink)

Interdisciplinarity is widely promulgated as beneficial to science and society. However, there are three quite serious problems which can limit the success of any interdisciplinary research collaboration. The first problem is expertise (it takes years of effort to cultivate a deep knowledge of even one discipline). The second problem is comprehensibility (experts in different disciplines do not reliably understand each other). The third problem is service (in a given interdisciplinary endeavour, it often occurs that one discipline benefits and the other (...) discipline does not benefit). This essay is an elaboration of these three problems. Parallels are drawn between translation between languages and translation between disciplines. (shrink)

The ability to express negation in language may have been the result of an adaptive process. However, there are different accounts of adaptation in linguistics, and more than one of them may describe the case of negation. In this paper, I distinguish different versions of the claim that negation is adaptive and defend a proposal, based on recent work by Steinert-Threlkeld (2016) and Incurvati and Sbardolini (2021), on which negation is an indirect adaptation.

The Nothing from Infinity paradox arises when the combination of two infinitudes of point particles meet in a supertask and disappear. Corral-Villate claims that my arguments for disappearance fail and concedes that this failure also produces an extreme kind of indeterminism, which I have called plenitudinous. So my supertask at least poses a dilemma of extreme indeterminism within Newtonian point particle mechanics. Plenitudinous indeterminism might be trivial, although easy attempts to prove it so seem to fail in the face of (...) plausible continuity principles. However, the question of its triviality is here moot, since I show that, except in one case, Corral-Villate’s disproofs fail, and with a correction, the original arguments are unrefuted. Consequently, of the two contenders for the outcome of my supertask, the Nothing from Infinity paradox has won out. (shrink)