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)

In this paper, we argue that both zemblanity and self-fulfilling prophecy may emerge from the application of Big Data models in society due to the presence of feedback loops.

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).

In this paper, we will reconsider the history of dualistic idealism (i.e., the main stream of western philosophy: chiefly, Plato, Descartes, Kant, Wittgenstein, etc.) under the quantum mechanical worldview. Recall that quantum mechanics also has the aspect of being a scientifically complete form of dualistic idealism. Therefore, it is reasonable to expect that almost all unsolved problems of philosophy (i.e., dualistic idealism) can be clarified under the linguistic Copenhagen interpretation. In this paper, we will show that the expectation is completely (...) realized. For example, it is shown that most unsolved problems (e.g. Hempel's raven) can be solved by separating analytic philosophy (philosophy of science) from mathematical logic and reconstructing it under a quantum mechanical worldview. (shrink)

The problem of demarcating between what is scientific and what is pseudoscientific or merely unscientific - in other words, the problem of defining scientificity - remains open. The modern debate was firstly structured around Karl Popper's falsificationist epistemology from the 1930's, before diversifying a few decades later. His central idea is that what makes something scientific is not so much how adequate it is with data, but rather to what extent it might not have been so. Since the second half (...) of the century, and in the wake of criticisms, such as the Duhem-Quine thesis, that were raised against falsificationism(s), most approaches to the problem of scientific demarcation are now multicriteria and holistic. However, the approach presented in this paper does not follow the same guideline. The present work can be seen as an attempt to adapt Popper's (sophisticated) falsificationism to a model-based view of scientific knowledge. Using formalization and focusing on a particular epistemic unit of analysis (namely, empirical models) allows to properly define the popperian corroboration degree and to view scientificity as the maximization of this degree of corroboration over all available models and data. We eventually recover, in a natural way, well-accepted scientificity criteria: empirical adequacy, Lakatos' progressive problemshifts, balance between strength and simplicity, parsimony, and coherence as special cases of this general scientificity principle. From this viewpoint, the language dependency of our empirical knowledge no longer appears as a limitation of falsificationism but as one more reason to take it as a good epistemological framework. (shrink)

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)

(NOTE: This is a transcript of the class. FOR THE FULL PAPER please click on "Maxson J McDowell" above.) An edited transcript of an experiment performed within a class on dream interpretation. Knowing only the dreamer’s age and gender, we interpreted his dream from its text. Our interpretation included predictions about the dreamer's psychological issues, and about his defenses. It also identified a series of jokes within the dream which would tend to penetrate the dreamer's defenses. When we had finished (...) our 'blind' interpretation, the bringer of the dream gave us more information about the dreamer against which we tested the accuracy of our predictions. A paper on this experiment has been submitted for publication. (shrink)

This paper explores the epistemological challenges in using computer simulations for two distinct goals: explanation via hypothesis-testing and prediction. It argues that each goal requires different strategies for justifying inferences drawn from simulation results due to different practical and conceptual constraints. The paper identifies unique and shared strategies researchers employ to increase confidence in their inferences for each goal. For explanation via hypothesis-testing, researchers need to address the underdetermination, interpretability, and attribution challenges. In prediction, the emphasis is on the model's (...) ability to generalize across multiple domains. Shared strategies researchers employ to increase confidence in inferences are empirical corroboration of theoretical assumptions and adequacy of computational operationalizations, and this paper argues that these are necessary for explanation via hypothesis-testing but not for prediction. This paper emphasizes the need for a nuanced approach to the epistemology of computer simulation, given the diverse applications of computer simulation in scientific research. Understanding these differences is crucial for both researchers and philosophers of science, as it helps develop appropriate methodologies and criteria for assessing the trustworthiness of computer simulation. (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)

This book concerns the metasemantics of quantum mechanics (QM). Roughly, it pursues an investigation at an intersection of the philosophy of physics and the philosophy of language, and it offers a critical analysis of rival explanations of the semantic facts of standard QM. Two problems for such explanations are discussed: categoricity and permanence. New results include 1) a reconstruction of Einstein's incompleteness argument, which concludes that a local, separable, and categorical QM cannot exist, 2) a reinterpretation of Bohr's principle of (...) correspondence, grounded in the principle of permanence, 3) a meaning-variance argument for quantum logic, which follows a line of critical reflections initiated by Weyl, and 4) an argument for semantic indeterminacy leveled against inferentialism about QM, inspired by Carnap's work in the philosophy of classical logic. (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)

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)].

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)

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.

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)

It is commonly argued that the fact that our universe is fine-tuned for life favors both a design hypothesis as well as a non-teleological multiverse hypothesis. The claim that the fine-tuning of this universe supports a non-teleological multiverse hypothesis has been forcefully challenged however by Ian Hacking and Roger White. In this paper we take this challenge even further by arguing that if it succeeds, then not only does the fine-tuning of this universe fail to support a multiverse hypothesis, but (...) it tends to favor a single-universe hypothesis instead. (shrink)

This entry provides an opinionated overview of central debates surrounding doxastic disagreement, focusing on doxastic states or attitudes such as beliefs and credences. It differentiates between various types of epistemologically significant disagreement based on the agents involved and the source of the disagreement. It also examines and evaluates current accounts of how peers should (rationally) address disagreement and highlights the fundamental principles that support these accounts.

This entry provides an opinionated overview of key epistemological debates regarding experts. To comprehend, justify, and enhance our practices of trusting, utilising, and depending on experts' judgments, it is crucial to clarify the characteristics of experts and the means of identifying those who exemplify them. Consequently, this entry examines and evaluates accounts of the main characteristics of experts. Furthermore, it discusses indicators of experts that help recognise experts and considers to what extent they are accessible to other experts and laypersons.

This paper examines two prominent formal trade-offs in artificial intelligence (AI)---between predictive accuracy and fairness, and between predictive accuracy and interpretability. These trade-offs have become a central focus in normative and regulatory discussions as policymakers seek to understand the value tensions that can arise in the social adoption of AI tools. The prevailing interpretation views these formal trade-offs as directly corresponding to tensions between underlying social values, implying unavoidable conflicts between those social objectives. In this paper, I challenge that prevalent (...) interpretation by introducing a sociotechnical approach to examining the value implications of trade-offs. After providing a set-theoretic understanding of these model trade-offs, I argue that their implications cannot be understood in isolation from the technical, psychological, organizational, and social factors that shape the integration of AI models into decision-making pipelines. Specifically, I identify three key considerations---validity and instrumental relevance, compositionality, and dynamics---for contextualizing and characterizing these implications. These considerations reveal that the relationship between model trade-offs and corresponding values depends on critical choices and assumptions. Crucially, judicious sacrifices in one model property for another can, in fact, promote both sets of corresponding values. The proposed sociotechnical perspective thus shows that we can and should aspire to higher epistemic and ethical possibilities than the prevalent interpretation suggests, while offering practical guidance for achieving those outcomes. Finally, I draw out the broader implications of this perspective for AI design and governance, highlighting the need to broaden normative engagement across the AI lifecycle, develop legal and auditing tools sensitive to sociotechnical considerations, and rethink the vital role and appropriate structure of interdisciplinary collaboration in fostering a responsible AI workforce. (shrink)

This article defends informed preference satisfaction theories of welfare against the most influential objections put forward in the economic and philosophy of science literatures. The article explicates and addresses in turn: the objection from inner rational agents; the objection from unfeasible preference reconstruction; the objection from dubious normative commitments; the objection from conceptual ambiguity; and the objection from conceptual replacement. My defence does not exclude that preference satisfaction theories of welfare face significant conceptual and practical challenges. Still, if correct, it (...) demonstrates that philosophers/welfare economists are justified in relying on specific versions of such theories, namely informed preference satisfaction theories. (shrink)

The cognitive sciences are facing questions of how to select from competing theories or develop those that suit their current needs. However, traditional accounts of theoretical virtues have not yet proven informative to theory development in these fields. We advance a pragmatic account by which theoretical virtues are heuristics we use to estimate a theory’s contribution to a field’s body of knowledge and the degree to which it increases that knowledge’s ability to solve problems in the field’s domain or problem (...) space. From this perspective, properties that are traditionally considered epistemic virtues, such as a theory’s fit to data or internal coherence, can be couched in terms of problem space coverage, and additional virtues come to light that reflect a theory’s alignment with problem-having agents and the context in a societally embedded scientific system. This approach helps us understand why the needs of different fields result in different kinds of theories and allows us to formulate the challenges facing cognitive science in terms that we hope will facilitate their resolution through further theoretical development. (shrink)

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)

“AI4Science” refers to the use of Artificial Intelligence (AI) in scientific research. As AI systems become more widely used in science, we need guidelines for when such uses are acceptable and when they are unacceptable. To that end, I propose that the distinction between the context of discovery and the context of justification, which comes from philosophy of science, may provide a preliminary but still useful guideline for acceptable uses of AI in science. Given that AI systems used in scientific (...) research are black boxes, for the most part, we should use such systems in the context of discovery but not in the context of justification. The former refers to processes of idea generation, which may be unproblematically opaque whether they occur in human brains or artificial neural networks, whereas the latter refers to scientific methods by which scientific ideas are tested, confirmed, verified, and justified, which should be transparent. (shrink)

It is unknown to what extent medical researchers generalize study findings beyond their samples when their sample size, sample diversity, or knowledge of conditions that support external validity do not warrant it. It is also unknown to what extent medical researchers describe their results with precise quantifications or unquantified generalizations, i.e., generics, that can obscure variations between individuals. We therefore systematically reviewed all prospective studies (n = 533) published in the top four highest ranking medical journals, Lancet, New England Journal (...) of Medicine (NEJM), Journal of the American Medical Association (JAMA), and the British Medical Journal (BMJ), from January 2022 to May 2023. We additionally reviewed all NEJM Journal Watch clinical research summaries (n = 143) published during the same time. Of all research articles reporting prospective studies, 52.5% included generalizations beyond specific national study populations, with the numbers of articles with generics varying significantly between journals (JAMA = 12%; Lancet = 77%) (p < 0.001, V = 0.48). There was no evidence that articles containing broader generalizations or generics were correlated with larger or more nationally diverse samples. Moreover, only 10.2% of articles with generalizations beyond specific national populations reported external validity strengthening factors that could potentially support such extrapolations. There was no evidence that original research articles and NEJM Journal Watch summaries intended for practitioners differed in their use of broad generalizations, including generics. Finally, from the journal with the highest citation impact, articles containing broader conclusions were correlated with more citations. Since there was no evidence that studies with generalizations beyond specific national study populations or with generics were associated with larger, more nationally diverse samples, or with reports of population similarity that may permit extensions of conclusions, our findings suggest that the generalizations in many articles were insufficiently supported. Caution against overly broad generalizations in medical research is warranted. (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)

This paper presents the results of two corpus studies investigating the discourse surrounding conspiracy theories and genuine theories. The results of these studies show that conspiracy theories lack the epistemic and scientific standing characteristic of theories more generally. Instead, our findings indicate that conspiracy theories are spread in a manner that resembles the dissemination of rumors and falsehoods. Based on these empirical results, we argue that it is time for both re-engineering conspiracy theory and for relabeling "conspiracy theory". We propose (...) relabelling conspiracy theories as either "conspiracy stories" or "conspiracy narratives" to more accurately convey their true nature. (shrink)

Despite numerous public health organizations supporting the pathologization of obesity and considering recent obesity rates a health crisis, many researchers in the humanities, social sciences, and even in the health sciences remain unconvinced. In this paper, we address a set of arguments coming from these academic fields that criticize medical models of obesity for their supposedly flawed diagnostic categories that shift focus onto individuals and support moralizing judgements. Clarifying some key claims in these models and explicating the view of obesity (...) in terms of energy dysregulation, we aim to tease apart misunderstandings and argue that not only do these models not say what they are often accused of saying, but their apparent vices may actually be virtues in helping to combat stigma. Building on the social psychology of stigma and disease labeling, we then suggest that current medical models are largely supportive of many moral and political aims promoted by critics of these models. (shrink)

If scientists violate principles and practices of routine science to quickly develop interventions against catastrophic threats, they are engaged in what I call fast science. The magnitude, imminence, and plausibility of a threat justify engaging in and acting on fast science. Yet, that justification is incomplete. I defend two principles to assess fast science, which say: fast science should satisfy as much as possible the reliability-enhancing features of routine science, and the fast science developing an intervention against a threat should (...) not depend on the same problematic assumptions as the fast science which estimates the magnitude, imminence, and plausibility of the threat. (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.

This chapter examines the history of philosophy of psychology and philosophy of psychiatry as subfields of philosophy of science that emerged in the late twentieth and early twenty-first century. The chapter also surveys related literatures that developed in psychology and psychiatry. Philosophy of psychology (or philosophy of cognitive science) has been a well-established subfield of philosophy of mind since the 1990s and 2000s. This field of philosophy of psychology is narrowly focused on issues in cognitive psychology and cognitive science. Compared (...) to the thriving subfield of philosophy of cognitive science, there has been a lack of corresponding interest among philosophers of science in broader methodological questions about different paradigms and fields of study in psychology. These broader methodological questions about psychology have been addressed in the field of theoretical psychology, which is a subfield of psychology that materialized in the 1980s and 1990s. Philosophy of psychiatry emerged as a subfield of philosophy of science in the mid-2000s. Compared to philosophy of psychology, the philosophy of psychiatry literature in philosophy of science engaged with issues examined in an older and more interdisciplinary tradition of philosophy of psychiatry that developed after the 1960s. The participation of philosophers of science in the literature on theoretical psychology, by contrast, has been limited. (shrink)

Millikan's famous oil drop experiment is scrutinized from the viewpoint of the methodological dicta of the credibility revolution.

The AI revolution provides a neat illustration of C.P. Snow's ideas regarding "the two cultures" and a timely opportunity to reflect on why mutual suspicion persists between those in the natural sciences, on the one hand, and the humanities (and to an extent the social sciences), on the other.

The debate about the foundations of mathematical sciences traces back to Greek antiquity, with Euclid and the foundations of geometry. Through the flux of history, the debate has appeared in several shapes, places, and cultural contexts. Remarkably, it is a locus where logic, philosophy, and mathematics meet. In mathematical astronomy, Nicolaus Copernicus’s axiomatic approach toward a heliocentric theory of the universe has prompted questions about foundations among historians who have studied Copernican axioms in their terminological and logical aspects but never (...) examined them as a question of mathematical practice. Copernicus provides seven unproved assumptions in the introduction of the brief treatise entitled Nicolaus Copernicus’s draft on the models of celestial motions established by himself, better known as Commentariolus (ca. 1515), published circa 30 years before the final composition of his heliocentric theory (On the revolutions of the heavenly spheres, 1543). The assumptions deal with the renowned Copernican hypothesis of considering the Earth in motion and the Sun, not affected by motion, near the center of the universe. Although Copernicus decides to omit the proofs for the sake of brevity, the deductions in the Commentariolus are supposed to be drawn from the initial seven assumptions. Questions on the nature (are they postulates or axioms?) and the logic (is there an internal rigor?) of those assumptions have yet to be fully explored. By examining Copernicus’s seven assumptions as a question of mathematical practice, it is possible to hold historical, philosophical, and logical aspects of Copernican axiomatics together and understand them as part of Copernicus’s intuition and creativity. (shrink)

It is not unusual among particle physicists to find the belief that elementary particles and forces determine everything in physics, chemistry, biology, geology, physiology all the way up to human behaviour. It is not just that physics underlies everything in the universe; it is the belief that everything in the universe reduces to the play of elementary particles under forces. Yet, there are other physicists who argue that this is an oversimplification of the relationship between physics and other domains. This (...) book explores these debates and proposes a physics-motivated conception of emergence that leaves behind many of the problematic intuitions shaping the philosophical conceptions. It would be suitable for physicists, scientists, undergraduate and postgraduate science students interested in reduction and emergence debates. (shrink)

The Ontology of Knowledge (OK) does not claim to expose the truth of reality but only to propose a coherent model of representation according to which: -Reality is not subject to form or time. -The Knowing Subject is a wave of meaning running through the immobile reality.

This paper advances the development of a phylogeny-based psychology in which cognitive ability types are individuated as characters in the evolutionary biological sense. I explain the character concept and its utility in addressing (or dissolving) conceptual problems arising from discoveries of cognitive abilities across a wide range of species. I use the examples of stereopsis in the praying mantis, internal cell-to-cell signaling in plants, and episodic memory in scrub jays to show how anthropocentric cognitive ability types can be reformulated into (...) cognitive characters, thereby promoting the integration of psychology with other sciences of evolved traits. (shrink)

Dans un texte court, dense, poétique et technique à la fois, Martin Buber nous invite à considérer autrement nos compagnes végétales. Cette forme de considération nouvelle peut s’étendre aux autres humains, aux autres vivants. Les êtres humains constituent une espèce vivante qui entretient des relations, de toutes natures, avec quantité d’espèces vivantes, très diverses, plus ou moins visibles ou perceptibles, selon des modalités conscientes ou pas. Les humains se sont entourés d’espèces domestiquées, végétales et animales, avec lesquelles les relations sont (...) anciennes, conscientes et proches. Partis d’un arbre et de sa contemplation, nous sommes invités à une prise de conscience de son existence d’être vivant face à la nôtre, de notre puissance, éventuellement destructive, jusqu’à notre capacité à lui reconnaître sa dignité et à la possibilité d’entrer en relation réciproque avec lui. Dans la continuité de cette démarche, nous nous tournons vers les autres vivants, jusqu’à atteindre une forme d’invisibilité qui n’est ni la réciprocité de la relation ni la conscience de l’arbre mais l’existence des micro-organismes, qui ne nous sont pas accessibles directement, mais qui se révèlent être, également, dans des relations fortes avec les autres vivants. (shrink)

According to Seungbae Park, two versions of the pessimistic induction argument against scientific realism, what he calls the "absolute" and "relative" versions, each fail for the same reason. Depending on whether their respective premises refer to distant or recent past theories, either each premise is implausible, or the conclusion does not probably follow from them. I suggest that Park has misconstrued the sort of argument his pessimist interlocutors rely on. When properly recast, the absolute and relative versions of the argument (...) become deductive rather than inductive. The result in each case is an argument that, contra Park, has both a plausible premise and a conclusion that follows from it. (shrink)

Philosophers of biology have recently been debating about whether random genetic drift is a distinct process from that of natural selection. One camp argues that drift is a process of “indiscriminate sampling” that is logically and ontologically distinct from the “discriminate sampling” process that is natural selection. The other camp argues that, rather than being two autonomous processes, natural selection and drift are just two aspects or facets of a single process. I argue that the two positions involved in this (...) dispute are not mutually exclusive. Indeed, by explicitly taking into account its sources, I argue that two kinds of drift are theoretically possible. The first kind – that I call circumstantial-drift – involves a process of its own, separate from the process of natural selection, or, more specifically, it requires that differences in a circumstantial trait cause differences in reproductive output of biological entities. The second kind – that I label probabilistic-drift – requires no other process than a probabilistic causal relation between a heritable physical trait and reproductive output, i.e. requires only the causal relation on which the work of natural selection could also depend. If both of these kinds of drift are theoretically possible, then neither defining, nor empirically identifying drift need to be zero-sum games. (shrink)

Different why-questions emerge under different contexts and require different information in order to be addressed. Hence a relevance relation can hardly be invariant across contexts. However, what is indeed common under any possible context is that all explananda require scientific information in order to be explained. So no scientific information is in principle explanatorily irrelevant, it only becomes so under certain contexts. In view of this, scientific thought experiments can offer explanations, should we analyze their representational strategies. Their representations involve (...) empirical as well as hypothetical statements. I call this the “representational mingling” which bears scientific information that can explain events. Buchanan’s thought experiment from constitutional economics is examined to show how mingled representations explain. (shrink)

The literature on pluralism in economics has focused on the benefits expected from the plurality of theories, methods, and frameworks. This overlooks half of the picture: the costs. Neither have the multifarious costs been systematically analyzed in philosophy of science. We begin rectifying this neglect. We discuss how the benefits of plurality and diversity in science presuppose distinct types of plurality and how various benefit and plurality types are associated with different types of costs. Finally, we ponder how the general (...) mechanisms that give rise to the costs of plurality and diversity are aggravated by various disciplinary characteristics of economics. (shrink)

In this short piece, I acknowledge that there are two main hypotheses regarding the origin of Sars-Cov2: the zoonotic jump hypothesis defended by the scientific establishment, and the lab leak hypothesis defended by a minority of scientists. Despite the new evidence supporting the zoonotic jump hypothesis, I contend that the minority’s view still seems more reasonable to accept at this time than the majority’s view regarding the origin of the virus. I will try to justify the plausibility of the minority’s (...) hypothesis by deductive reasoning first and then by inductive reasoning appealing to the notion of Inference to the Best Explanation (aka, I2BE). (shrink)

Edward Stuart Russell (1887–1954) was a central figure in the philosophy of biology during the first half of the twentieth century. Although he worked as a government fisheries scientist for much of his life, he still managed to establish himself as one of the most prominent biological theorists of his time. The views he developed, which were antireductionistic, organism-centred, and teleological, challenged the prevailing mechanistic orthodoxy. His book 'The Interpretation of Development and Heredity' (1930) provides one of themost incisive critiques (...) of the chromosomal theory of the gene ever published, and it has acquired a renewed relevance in light of recent empirical findings. Russell’s interest in the theoretical problems of biology is as much historical as philosophical, and many of his works, particularly his first book 'Form and Function' (1916), are still regarded today as landmark contributions to the history of biological thought. (shrink)

Drawing on empirical findings, a number of philosophers have recently argued that people who use English as a foreign language may face a linguistic bias in academia in that they or their contributions may be perceived more negatively than warranted because of their English. I take a critical look at this argument. I first distinguish different phenomena that may be conceptualized as linguistic bias but that should be kept separate to avoid overgeneralizations. I then examine a range of empirical studies (...) that philosophers have cited to argue that people who use English as a foreign language are subject to linguistic bias in academia. I contend that many of these studies do not sufficiently support key claims that philosophers have made about linguistic bias, are challenged by counterevidence, and lack generalizability. I end by introducing methodological recommendations that may help philosophers develop more convincing empirically informed arguments regarding linguistic bias. (shrink)

Scientists have the epistemic responsibility of producing knowledge. They also have the social responsibility of aligning their research with the needs and values of various societal stakeholders. Individual scientists may be left with no guidance on how to prioritise and carry these different responsibilities. As I will argue, however, the responsibilities of science can be harmonised at the collective level. Drawing from debates in moral philosophy, I will propose a theory of the collective responsibilities of science that accounts for the (...) internal diversity of research groups and for their different responsibilities. (shrink)

There is a growing concern for the proper role of science within democratic societies, which has led to the development of new science policies for the implementation of social responsibility in research. Although the very expression ‘social responsibility of science’ may be interpreted in different ways, many of these emerging policy frameworks define it, at least in part, as a form of anticipative reflection about the potential impacts of research in society. What remains a rather under-discussed issue is the definition (...) of the bearer of the social responsibility of science. In other words, it is not clear who is supposed to engage in such an anticipative reflection, whether individual researchers or research groups. In the past few years, philosophers of science have begun to use qualitative research methods to fill the gaps between normative models of the organisation of ideal scientific communities and the reality of actual scientific practices. In this article, I follow this approach to discuss the issue of the collective dimension of the social responsibility of science. I rely on a qualitative study conducted on an interdisciplinary research group and I describe how group dynamics position individuals and distribute duties and roles, including social responsibility. Qualitative descriptions of the distribution of duties within actual research groups should inform the formulation of general prescriptive theories on the collective responsibility of science. (shrink)

This paper defends the view that discovering that our universe is fine-tuned should make us more confident that other universes exist. My defense exploits a distinction between ideal and non-ideal evidential support. I use that distinction in concert with a simple model to disarm the most influential objection—the this-universe objection—to the view that fine-tuning supports the existence of other universes. However, the simple model fails to capture some important features of our epistemic situation with respect to fine-tuning. To capture these (...) features, I introduce a more sophisticated model. I then use the more sophisticated model to show that, even once those complicating factors are taken into account, fine-tuning should boost our confidence in the existence of other universes. (shrink)