Philosophy of Science, General Works

In the social sciences, within the explanatory paradigm of structural individualism, a theory of action – like rational choice theory – models how individuals behave and interact at the micro level in order to explain macro observations as the aggregation of these individuals actions. A central epistemological issue is that such theoretical models are stuck in a dilemma between falsity of their basic assumptions and triviality of their explanation. On the one hand, models which have a great empirical success often (...) rest on unrealistic or even knowingly false assumptions; on the other hand, more complex models, with additional more realistic hypotheses, can (trivially) adapt to a wide range of situations and thus loose their explanatory power. Our purpose here is epistemological and consists in wondering to which extent demanding realistic assumptions in such cases is a relevant criterion with respect to the acceptance of a given explanatory model. Via an analogical reasoning with physics, we argue that this criterion seems too strong and actually irrelevant. General physical principles are not just idealized or unrealistic, they can also be formulated in many different yet equivalent ways which do not imply the same fundamental unobservable entities or phenomena. However, the classification of phenomena that such principles allow to highlight does not depend, at the end, on any particular formulation of these basic assumptions. This suggests that some hypotheses in theoretical models are actually not genuine empirical statements that could be independently tested but only substrates of modeling embodying a classification principle. Thus, we develop a structural invariance criterion that we then apply to rational choice models in the social sciences. We argue that this criterion allows to escape from the epistemological dilemma without condemning formal approaches like rational choice theory for their lack of realisticness nor being stuck to any antirealist viewpoint. (shrink)

The recent use of typicality in statistical mechanics for foundational purposes has stirred an important debate involving both philosophers and physicists. While this debate customarily focuses on technical issues, in this paper I try to approach the problem from an epistemological angle. The discussion is driven by two questions: (1) What does typicality add to the concept of measure? (2) What kind of explanation, if any, does typicality yield? By distinguishing the notions of `typicality-as-vast-majority' and `typicality-as-best-exemplar', I argue that the (...) former goes beyond the concept of measure. Furthermore, I also argue that typicality aims at providing us with a form of causal explanation of equilibrium. (shrink)

In this paper, we introduce the basics of what we shall call "partial model theory", which is an extension of traditional model theory to partial structures. These are a specific kind of structure developed within the partial structures approach, which is a view constituting the semantic approach of theories. And together with other related semantical concepts, like the concept of quasi-truth, partial structures have been used in contemporary philosophy of science for several purposes. Nonetheless, those uses presuppose certain technical results, (...) or could be improved by resorting to certain technical notions and results, that have not been put forward so far. Thus, in the present work, we intend to introduce part of this particular technical apparatus that is still lacking especially in logic, throughout the development of partial model theory. We begin by extending traditional notions of model theory for partial structures, like the notions of substructure and homomorphism, and by proving some results concerning the notion of quasi-truth. Posteriorly, we show how the content introduced can be used to improve a particular application of partial structures and quasi-truth in the philosophy of science. (shrink)

The article explains how the primordial singularity can be understood as a cause having brought the Universe into empirical existence. It also addresses the nonempirical nature of such a cause.

This article argues that actor-network theory, as an alternative to critical theory, has lost its critical impetus when examining commodification in healthcare. The paper claims that the reason for this, is the way in which actor-network theory’s anti-essentialist ontology seems to black box 'intentionality' and ethics of human agency as contingent interests. The purpose of this paper was to open the normative black box of commodification, and compare how Marxism, Habermas and ANT can deal with commodification and ethics in healthcare. (...) Moreover, a new account of 'intentionality' in critical thinking was elaborated. Using Strawson's analysis of 'reactive attitudes and resentment,' the ethical implications of commodification in health care were examined as an assessment of intentions. Synthesizing critical theory with the relational materialism of actor-network theory, this article advances a new approach that seeks to bridge interdisciplinary boundaries, and guide actor-network theory in a critical and humanist direction. Providing new theoretical insights on commodification and 'intentionality' in health care. (shrink)

Recently we proposed “quantum language" (or,“the linguistic Copenhagen interpretation of quantum mechanics"), which was not only characterized as the metaphysical and linguistic turn of quantum mechanics but also the linguistic turn of Descartes=Kant epistemology. Namely, quantum language is the scientific final goal of dualistic idealism. It has a great power to describe classical systems as well as quantum systems. Thus, we believe that quantum language is the language in which science is written. The purpose of this preprint is to examine (...) and assert our belief (i.e.,“proposition in quantum language" ⇔“scientific proposition). We believe that it's one of main themes of scientific philosophy to make such language. (shrink)

Recently I proposed “QL (=quantum language)” (or, “the linguistic Copenhagen interpretation of quantum theory”), which was not only characterized as the metaphysical and linguistic turn of quantum mechanics but also as the scientific understanding of Descartes=Kant epistemology. Namely, quantum language is the scientific final goal of dualistic idealism. It has a great power to describe classical systems as well as quantum systems. In this research report, quantum language is seen as a fundamental theory of statistics and reveals the true nature (...) of statistics. I hope the readers to enjoy the beautiful world of dualistic idealism. (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)

Special relativity has changed the fundamental view on space and time since Einstein introduced it in 1905. It substitutes four dimensional spacetime for the absolute space and time of Newtonian mechanics. It is believed that the validities of Lorentz invariants are fully confirmed empirically for the last one hundred years and therefore its status are canonical underlying all physical principles. However, spacetime metric is a geometric approach on nature when we interpret the natural phenomenon. A geometric flaw on this will (...) be exhibited and the alternative is suggested. The reasonable geometric model of space and time is a three dimensional space which is translating along the time direction. This model legitimately represents the true characteristic of nature. (shrink)

The focus in the literature on scientific explanation has shifted in recent years towards modelbased approaches. The idea that there are simple and true laws of nature has met with objections from philosophers such as Nancy Cartwright (1983) and Paul Teller (2001), and this has made a strictly Hempelian D-N style explanation largely irrelevant to the explanatory practices of science (Hempel & Oppenheim, 1948). Much of science does not involve subsuming particular events under laws of nature. It is increasingly recognized (...) that science across the disciplines is to some degree a patchwork of scientific models, with different methods, strategies, and with varying degrees of successful prediction and explanation. And so accounts of scientific explanation have reflected this change of perspective and model-based approaches have flourished in the explanation literature (Batterman, 2002b; Bokulich, 2008; Craver, 2006; Woodward, 2003). (shrink)

A number of general theories of physics provide a model for the fundamental rules that govern our universe, becoming a structural framework to which the new discoveries must conform. The theory of relativity is such a general theory. The theory of relativity is a complex theoretical framework that facilitates the understanding of the universal laws of physics. It is based on the curved space-time continuum fabric abstract concept, and it is well suited for interpreting cosmic events. More so, a general (...) theory based on abstract concepts and imagination facilitates the emergence of countless new extravagant theories. A new simplified theory of the natural world is necessary, a simple theory that provides a verifiable framework on which new discoveries can be integrated. The paper describes a view of the abstract time/space concept, and also a very simple model of our ever-changing universe. Views of physicists, mathematicians, chemists, engineers and of course philosophers have to be all in harmony with such a theory. We leave in a beautiful, uniform, and logical world. We live in a world where everything probable is possible. Contact email: [email protected] . (shrink)

For two reasons, physics occupies a preeminent position among the sciences. On the one hand, due to its recognized position as a fundamental science, and on the other hand, due to the characteristic of its obvious certainty of knowledge. For both reasons it is regarded as the paradigm of scientificity par excellence. With its focus on the issue of epistemic certainty, philosophy of science follows in the footsteps of classical epistemology, and this is also the basis of its 'judicial' pretension (...) vis-à-vis physics. Whereas physics is in a strong competitive relationship to philosophy and epistemology with respect to its position as a fundamental science - even on the subject of cognition, as the pretension of 'reductionism' shows. It is the thematic focus on epistemic certainty itself, however, that becomes the root of a profound epistemological misunderstanding of physics. The reason for this is twofold: first, the idea of epistemic certainty as a criterion of 'demarcation' between physics and metaphysics obscures the view of the much deeper heuristic differences between the two kinds of knowledge. The second, related, reason is that epistemology does not ask the question of the reason for the epistemic certainty of physics; instead, it sets itself the task of 'legitimating' physical knowledge, and this, crucially, with reference to the interpretation of the process of cognition. Thus, as a matter of course, all epistemological assumptions about this process – including the common descriptive understanding of knowledge and its ontological premises – flow into the interpretation of physics as a science. Consequently, this undertaking is not only doubtful from the ground up, because it presupposes for its meaningfulness nothing less than certainty of knowledge concerning (the interpretation of) the process of knowledge, thereby relying on mere convictions; moreover, by projecting the descriptive, 'metaphysical' concept of knowledge onto physics, it leads to unsolvable epistemological problems and corresponding resignative conclusions concerning the claim of knowledge of physics. In other words, epistemology itself builds, due to its basic assumptions, a major obstacle for an adequate understanding of physics. Physics' cross-object, deconstructive approach to knowledge implies a completely different, non-descriptive understanding of its concepts, with consequences that extend far beyond itself due to its status as a basic science. (shrink)

In an online, participatory class, we interpreted 'The Dream of the Three Orcas' knowing nothing of the dreamer beyond age and gender, and having none of the dreamer’s associations. -/- Our interpretation included nine predictions about the dreamer. When it was complete, we asked the bringer of the dream (who had not been present before our interpretation was complete) to give us more information about the dreamer. Later the dreamer also gave us more information. Our predictions were mostly confirmed. The (...) dreamer is standing on beach when huge orca-like floats appear. -/- This record is another iteration of an experiment that is described more fully in the paper 'The Dream of the Six-Legged Dog: An Experimental System that Tests Symbolic Meaning,' soon to be published. This iteration repeats and confirms the evidence given in that paper. ONLINE AUDIO RECORD OF ENTIRE ORCAS' CLASS : link is on title page of the paper you can download here. (shrink)

In this essay, I will explain why Methodological Naturalism (MN) fails as a demarcating criteria for science. I will argue that MN is not precise enough to be useful for demarcation, unable to follow the evidence where it leads, not theologically neutral (despite its stated goals as such), and difficult to justify (and currently unjustified) as an ontological or epistemic principle.

Through discussing scientific whaling, the paper brings the necessity of retrieving natural philosophy. The paper’s arguments favor an expanded vision of human encounter with nature, through the lens of natural philosophy, with a priority focus of expanding our imaginations to embrace the vast natural world. -/- There is no doubt that both the philosophy and science, two of the three significant areas of cultural and intellectual engagement (the other one is religion), have gone through changes over time. It is also (...) conspicuous that the modern natural science marginalized and suppressed specific concerns which were previously an indefeasible part of natural philosophy. -/- Bringing both historical and critical discussion of natural philosophy, the paper explores prospective retrieval of natural philosophy in contemporary modern science. Emphasizing the significance of natural philosophy’s imperatives both in the intellectual and field application of modern science, the paper reiterates commentary of Nicholas Maxwell, who advocates to correct three loopholes (Maxwell 2017): change the nature of social inquiry; opt aim-oriented rationality methods; and generalize the progress achieving methods of science. (shrink)

The recent progression in AI, nanomedicine and robotics have increased concerns about ethics, policy and law. The increasing complexity and hybrid nature of AI and nanotechnologies impact the functionality of “law in action” which can lead to legal uncertainty and ultimately to a public distrust. There is an immediate need of collaboration between Central Asian biomedical scientists, AI engineers and academic lawyers for the harmonization of AI, nanomedicines and robotics in Central Asian legal system.

Causal selection has to do with the distinction we make between background conditions and “the” true cause or causes of some outcome of interest. A longstanding consensus in philosophy views causal selection as lacking any objective rationale and as guided, instead, by arbitrary, pragmatic, and non-scientific considerations. I argue against this position in the context of causal selection for disease traits. In this domain, causes are selected on the basis of the type of causal control they exhibit over a disease (...) of interest. My analysis clarifies the principled rationale that guides this selection and how it involves both pragmatic and objective considerations, which have been overlooked in the extant literature. (shrink)

Esta pesquisa procura investigar o conceito de metáfora raiz na concepção de Stephen C. Pepper a partir de sua obra World Hypotheses (1942) e de artigos relacionados. Além disso, extrapolar o conceito de metáfora raiz a partir de uma possível interlocução com o trabalho filosófico do conhecimento científico de George Lakoff e Mark Johnson, particularmente em Metaphors we live by (1980) e artigos relacionados. Considerando estes objetivos, foi abordado sobre o conceito de metáfora em Stephen C. Pepper, George Lakoff e (...) Mark Johnson, procurando observar como ocorre o processo de formação do conhecimento científico a partir destas visões filosóficas que podem ser consideradas relacionadas. (shrink)

Several developments for diverse scientific goals, mostly in physics and physiology, had to take place, which eventually gave us fMRI as one of the central research paradigms of contemporary cognitive neuroscience. This technique stands on solid foundations established by the physics of magnetic resonance and the physiology of hemodynamics and is complimented by computational and statistical techniques. I argue, and support using concrete examples, that these foundations give rise to a productive theory-ladenness in fMRI, which enables researchers to identify and (...) control for the types of methodological and inferential errors. Consequently, this makes it possible for researchers to represent and investigate cognitive phenomena in terms of hemodynamic data and for experimental knowledge to grow independently of large scale theories of cognition. (shrink)

A brief review of Carnap's formal program in philosophy of science.

Der Erfolg von Maßnahmen zur Eindämmung der COVID-19-Pandemie ist abhängig vom Vertrauen der Öffentlichkeit in wissenschaftliche Experten. Zwar ist Vertrauen als Einstellung gegenüber Experten im Zusammenhang mit der Pandemie bereits viel Aufmerksamkeit zuteilgeworden, allerdings meist in Bezug auf das Vertrauen, das Laien Äußerungen wie Behauptungen und Mitteilungen entgegenbringen, die ihnen das Wissen der Experten zugänglich machen sollen. Dieser Aufsatz stellt dagegen eine andere Art der Äußerung in den Mittelpunkt: die Empfehlung. Im Zusammenhang mit der Pandemie haben Forderungen gegenüber der Politik (...) wissenschaftsbasiert zu verfahren zugenommen. Gleichzeitig sind Politikerinnen und Politiker aber nicht das Sprachrohr der Wissenschaft, sondern übernehmen Verantwortung für eine wissenschaftsbasierte Gesundheitspolitik, unter anderem indem sie Bürgerinnen und Bürgern bestimmte Handlungen empfehlen. Damit erhebt die Politik allerdings den Anspruch, dass Bürgerinnen nicht nur glauben sollten, was ihnen von den Experten gesagt wird, sondern auch, dass sie tun sollten, was von ihnen im Rahmen der Maßnahmen verlangt wird. Ziel dieses Aufsatzes ist es daher zu zeigen, dass Empfehlungen eine Konzeption von Vertrauen erfordert, die sich vom Vertrauen im Kontext von Mitteilungen und Behauptungen stark unterscheidet. Es geht nicht nur darum, diese Art von Vertrauen genauer zu spezifizieren, sondern auch darum zu erklären, unter welchen Voraussetzungen es vernünftig ist, wissenschaftsbasierten Empfehlungen der Politik mit Vertrauen zu begegnen. Dazu gehe ich folgendermaßen vor: In Abschnitt 1 analysiere ich zunächst den Sprechakt des Empfehlens. Das dadurch gewonnene Grundverständnis von empfehlenden Sprechakten untersuche ich dann im Kontext von Empfehlungen wissenschaftlicher Experten während der Covid-19-Pandemie (Abschnitt 2) und plädiere dann dafür, dass eine Analyse der an eine breite Öffentlichkeit gerichteten Empfehlungen am besten bei Äußerungen von Politikern ansetzen muss, die sich auf das kompetente Urteil wissenschaftlicher Expertinnen und Experten beziehen (Abschnitt 3). In Abschnitt 4 diskutiere ich dann die Gründe, die ein Hörer haben könnte, eine solche Empfehlung anzunehmen, bevor ich in den Abschnitten 5 und 6 die für Empfehlungen relevante Form des Vertrauens herausarbeite. Abschnitt 7 diskutiert die Auffassung, dass Vertrauen in wissenschaftsbasierte Empfehlungen nur durch die Anerkennung der Sprecherin im Sinne einer guten Ratgeberin als rationale Einstellung ausgewiesen werden kann, bevor ich abschließend argumentiere, dass diese Rationalitätsbedingungen im Kontext der COVID-19-Pandemie nur schwer einzulösen waren. (shrink)

Can AI developers be held epistemically responsible for the processing of their AI systems when these systems are epistemically opaque? And can explainable AI (XAI) provide public justificatory reasons for opaque AI systems’ outputs? Koskinen (2024) gives negative answers to both questions. Here, I respond to her and argue for affirmative answers. More generally, I suggest that when considering people’s uncertainty about the factors causally determining an opaque AI’s output, it might be worth keeping in mind that a degree of (...) uncertainty about conclusions is inevitable even in entirely human-based empirical science because in induction there’s always a risk of getting it wrong. Keeping this in mind may help appreciate that requiring full transparency from AI systems before epistemically trusting their outputs might be unusually (and potentially overly) demanding. (shrink)

We develop and apply a multi-dimensional account of explanatory depth towards a comparative analysis of inflationary and bouncing paradigms in primordial cosmology. Our analysis builds on earlier work due to Azhar and Loeb (2021) that establishes initial conditions fine-tuning as a dimension of explanatory depth relevant to debates in contemporary cosmology. We propose dynamical fine-tuning and autonomy as two further dimensions of depth in the context of problems with instability and trans-Planckian modes that afflict bouncing and inflationary approaches respectively. In (...) the context of the latter issue, we argue that the recently formulated trans-Planckian censorship conjecture leads to a trade-off for inflationary models between dynamical fine-tuning and autonomy. We conclude with the suggestion that explanatory preference with regard to the different dimensions of depth is best understood in terms of differing attitudes towards heuristics for future model building. (shrink)

Le présent travail s'inscrit à l'intersection de deux problèmes épistémologiques majeurs. D'une part, le problème de la démarcation scientifique, qui consiste à identifier ce qui distingue intrinsèquement un système (un énoncé, une théorie, ...) scientifique d'un système non scientifique ou pseudo-scientifique. D'autre part, le problème de l'unité épistémologique des sciences, qui consiste à se demander si toutes les disciplines à vocation scientifique peuvent être vues comme des instanciations d'une notion unique de la scientificité. Ces deux problèmes ont soulevé de nombreux (...) débats ayant mis en évidence un ensemble important de difficultés. Le terme « scientifique » désigne en effet des méthodes empiriques, des constructions théoriques et des pratiques de recherche si hétérogènes qu’il semble voué à l’échec d’en chercher une définition aisée à circonscrire. De plus, les objets des disciplines scientifiques sont eux-mêmes de natures très diverses, ce qui semble rendre pareillement caduque toute recherche d’un concept unique de science qui pourrait s’appliquer indépendamment de la discipline en question. Dans cette thèse, je me propose de prendre à contre-pied cet état de fait en soutenant la possibilité et la pertinence d'un modèle unitaire de la scientificité, tout en me restreignant à une approche épistémologique comparée entre les sciences physiques et les sciences sociales. Pour défendre mon propos, j’ai mobilisé deux types de réponses pouvant être opposées au constat présenté plus haut. D’une part, des réponses de principe, où j’examine et m’oppose à des arguments théoriques soutenant l’impossibilité ou en tout cas la difficulté de définir la scientificité en général, et la nécessité pour les sciences sociales de jouir d’une définition à part. D’autre part, je mobilise également des réponses par l’exemple. J’étudie alors plus en détail l’approche dite « analytique » en sociologie. Ce courant a cela d’intéressant pour mon propos qu’il ne semble pas nécessiter d’épistémologie alternative à celle ayant cours, par exemple, en physique ou en biologie, tout en prétendant bien produire des connaissances sur le monde social. Il s’agit donc d’un contre-exemple concret et manifeste de la thèse soutenant que la sociologie ne peut pas jouir du même type d’épistémologie que les autres disciplines. Plus concrètement, j’élabore un (méta-)modèle unitaire de la scientificité en me concentrant sur une unité d’analyse bien circonscrite : les modèles. Je distingue chez ses derniers, classiquement, deux composantes principales : une composante empirique, qui a pour vocation à identifier des régularités dans le réel auquel on a accès à travers des données, et une composante théorique, à visée explicative et classificatoire. Je propose alors de construire formellement un degré de scientificité global dans lequel se combinent la maximisation d’une certaine quantité d’information définie sur la composante empirique et un critère d’invariance structurelle défini sur la composante théorique. Ces diverses constructions, bien que formelles, permettent d’éclairer efficacement les questions épistémologiques que je me suis données au départ de mon travail, ce dernier ayant vocation à constituer une étape supplémentaire vers un modèle unitaire de la scientificité. (shrink)

It has recently been remarked that the argument for physicalism from the causal closure of the physical is incomplete. It is only effective against mental causation manifested in the action of putative mental forces that lead to acceleration of particles in the nervous system. Based on consideration of anomalous, physically unaccounted-for correlations of neural events, I argue that irreducible mental causation whose nature is at least prima facie probabilistic is conceivable. The manifestation of such causation should be accompanied by a (...) local violation of the Second Law of thermodynamics. I claim that mental causation can be viewed as the disposition of mental states to alter the state probability distribution within the nervous system, with no violation of the conservation laws. If confirmed by neurophysical research, it would indicate a kind of causal homogeneity of the world. Causation would manifest probabilistically in both quantum mechanical and psychophysical systems, and the dynamics of both would be determined by the temporal evolution of the corresponding system state function. Finally, I contend that a probabilistic account of mental causation can consistently explain the character of selectional states that ensure the uniformity of causal patterns, as well as the fact that different physical realizers of a mental property cause the same physical effects in different contexts. (shrink)

If you have enjoyed any of the 7 (seven) other books I have published over 20 years, including literally thousands of pages of mathematical and topological concepts, Python programs and conceptually expanding papers, please consider buying this book for $20.00 on google play books. -/- Introduction: -/- Though the following pages provide extensive exposition and dedicated descriptions of the phenomenological velocity formulas, theory and mystery, I thought it appropriate to write this introduction as a partial explanation for what phenomenal velocity (...) is, and describe, briefly its theory and applications. Phenomenological Velocity is a method for solving for something that ought cancel out with itself, but there are specific implicit forms for this thing that, “ought cancel out with itself,” namely the Lorentz coefficient ought cancel out with itself when applied to the height of a cone derived from the difference between the circumferences of two circles applied to the Pythagorean Theorem, or, more generally, the height implied by application of the Pythagorean theorem to the difference between two arc lengths’ equaling a third arc length. These difference equations are essential to conceptualizing differentiation, and in these further chapters, I demonstrate that the phenomenological velocity is, indeed the conditional derivative in the chapter, “Conditional Integral of Phenomenological Velocity.” The phenomenological velocity algebraic solution to the velocity within the Lorentz coefficient when applied to the height function in such a way that it ought cancel out with itself is both constructive mathematics and it employs the concept of, “bracketing,” - first introduced by Edmund Husserl in his writings on the phenomenological reduction. Phenomenological Velocity’s algebraic solution from the difference between two arc lengths applied to the Pythagorean Theorem to solve for a theoretical height (which is a projected distance in space), employs bracketing, because we, “set aside,” the existence of an undefined solution, namely due to the presence of necessitated complex analytical forms by the architecture of the equation, or the “mathetecture,” of the algebraic form. -/- With respect to theology, the phenomenological velocity is somehow symbolic of the creation itself; symbolic of creation due to the fact that we find the canceling out of the Lorentz coefficient as, “impotent,” non-existent or non-effecting to the mathetecture of the height function. However, via the modus-ponens work around to phenomenological velocity, which in itself does not require the complex field, but embeds implied complex field solutions to the equation while maintaining logical consistency, we find existence from non-existence. This is directly linguistically applicable to the concept of the big-bang, the resurrection of Yeshua the Messiah, and opens analogies for us to draw relationships between the, “fall,” of Adam and Eve as the generation of error, or the introduction of paradox, as we see the phallus representing paradox topologically. -/- The phenomenological velocity is a gestalt concept, relevant to cosmology, because we find that it is the perfect language-form for discussing dark matter. It does, however, require the reader to re-conceive or re-frame rather, some of the fundamental aspects of assumed physical reality like time, experience, solidity of dark matter, etc. We find the hidden dimension of phenomenological velocity to have been an overlooked aspect of mathematical physics by the researchers of Bell’s theorem and undoubtedly a host of other theorems. Thus, raising awareness about the real existence and necessitated reality of phenomenological velocity is in no way an endeavor deserving further procrastination by the scientific community, for doing so would be intellectually dishonest and further the propagation of incomplete or misleading theories on reality. -/- This work details how the Lorentz coefficient, when applied to the height of a cone in such a way as to cancel out with itself, permits the velocity variable to have a solution to it anyway, even though it ought cancel out with itself. This mathe-tecture, so to speak has consequences for complex analysis, and pave the way for, "transcendental relativity," building an adaptive framework for consciousness and physical reality. (shrink)

How should we go about developing emotion taxonomies suitable for a science of emotion? Scientific categories are supposed to be “projectable”: They must support generalizations required for the scientific practices of induction and explanation. Attempts to provide projectable emotion categories typically classify emotions in terms of a limited set of modules, but such taxonomies have had limited uptake because they arguably misrepresent the diversity of our emotional repertoire. However, more inclusive, non-modular, taxonomies also prove problematic, for they struggle to meet (...) the projectability constraint. In this paper, I explain how a developmental approach to emotion, one that utilizes the notion of progressive modularization, can help us approach emotion categorization in a more inclusive and projectable manner. (shrink)

During the Covid-19 pandemic, a significant number of people has seemingly been lured in believing conspiracy theories. Many deliberately disregarded expert advices by virologists and physicians to reduce new infections. This turning away from traditional expert authorities exemplifies the »crisis of expertise« that has been discussed in the philosophy of science for some time, namely that many people seem to have lost their trust in the established authority of expert knowledge and are looking for epistemic alternatives, especially on the Internet (...) and in particular on social media. In this article, this digital cultural trend will be analysed. Will people actually becoming more epistemically autonomous as a result of this new tend? Attention is drawn to the epistemic and moral vulnerability of people who opt for new media as epistemic alternatives instead of relying on traditional expert opinion. It will be shown that some important presuppositions about the Internet and, especially, social media tools as alternative ways to gathering information and find moral support in a group of likeminded people do not hold. (shrink)

It has been argued that our currently most satisfactory social epistemology of science can’t account for science that is based on artificial intelligence (AI) because this social epistemology requires trust between scientists that can take full responsibility for the research tools they use, and scientists can’t take full responsibility for the AI tools they use since these systems are epistemically opaque. I think this argument overlooks that much AI-based science can be done without opaque models, and that agents can take (...) full responsibility for the systems they use even if these systems are opaque. Requiring that an agent fully understand how a system works is an untenably strong condition for that agent to take full responsibility for the system and risks absolving AI developers from responsibility for their products. AI-based science need not create trust-related social epistemological problems if we keep in mind that what makes both individual scientists and their use of AI systems trustworthy isn’t full transparency of the internal processing but their adherence to social and institutional norms that ensure that scientific claims can be trusted. (shrink)

Nel 1956, in piena guerra fredda, una conferenza di scienziati al Dartmouth College negli Stati Uniti annunciò il lancio di un audace progetto scientifico, l’Intelligenza Artificiale (I.A.). Dopo l’iniziale fallimento degli sforzi della “Hard AI” di produrre un’intelligenza simile a quella umana, alla fine del XX secolo è emerso il movimento della “Soft AI”. Invece di essere orientato a imitare il comportamento umano in relazione a compiti specifici, ha preferito cercare modi alternativi di eseguire i compiti basati sulle particolari funzioni (...) e strutture della macchina. Il fattore decisivo è stata la combinazione della tecnologia di apprendimento automatico con le comunicazioni digitali online, l’incontro tra l’IA e Internet. Le applicazioni dell’IA “soft” sono quelle che vediamo nel mondo dei dispositivi automatici “intelligenti” che informano la nostra vita sociale digitale. Nel seguente articolo mi concentrerò su una particolare applicazione dell’IA per le discussioni online con utenti umani, ChatGPT, per mostrare le implicazioni della tecnologia digitale online nelle modalità storico-sociali dell’esistenza umana. ChatGPT è un’applicazione che combina l’IA con Internet, le possibilità della corrispondenza tra macchine e le potenzialità della tele-comunicazione umana. Il mio approccio si concentra sulle implicazioni fenomenologiche e storico-sociali della proliferazione della tecnologia AI per quanto riguarda la coscienza e la socialità umana. -/- Abstract (english) -/- In 1956, amidst the Cold War, a conference of scientists at Dartmouth College in the United States announced the launch of a bold, scientific project, Artificial Intelligence (A.I.). After the initial failure of “Hard AI” efforts to produce a human-like intelligence, the “Soft AI” movement emerged in the late 20th century. Instead of being oriented towards imitating human behaviour concerning specific tasks, it preferred to seek alternative ways of performing tasks based on the particular functions and structures of the machine. The decisive factor was the combination of Machine Learning technology with Digital Online Communications, the meeting between AI and the Internet. The applications of “Soft” AI are those we see in the world of “smart”, “intelligent” automatic devices that inform our digital social life. In the following article, I will focus on a particular application of AI for online discussions with human users, ChatGPT, in order to show the implications of online digital technology in the social-historical modalities of human existence. ChatGPT is an application that combines AI with the Internet, the possibilities of Machine correspondence with the potentialities of human telecommunications. My approach focuses on the phenomenological and social-historical implications of the proliferation of AI technology as regards human consciousness and sociality. (shrink)

We present an epistemological schema of natural sciences inspired by Peirce's pragmaticist view, stressing the role of the \emph{phenomenological map}, that connects reality and our ideas about it. The schema has a recognisable mathematical/logical structure which allows to explore some of its consequences. We show that seemingly independent principles as the requirement of reproducibility of experiments and the Principle of Sufficient Reason are both implied by the schema, as well as Popper's concept of falsifiability. We show that the schema has (...) some power in demarcating science by first comparing with an alternative schema advanced during the first part of the 20th century which has its roots in Hertz and has been developed by Einstein and Popper. Further, the identified differences allow us to focus in the construction of Special Relativity, showing that it uses an intuited concept of velocity that does not satisfy the requirements of reality in Peirce. While the main mathematical observation connected with this issue has been known for more than a century, it has not been investigated from an epistemological point of view. A probable reason could be that the socially dominating epistemology in physics does not encourage such line of work. We briefly discuss the relation of the abduction process presented in this work with discussions regarding ``abduction'' in the literature and its relation with ``analogy''. (shrink)

Straightening the current ‘value-laden turn’ (VLT) in the philosophical literature on values in science, and reviving the legacy of the value-free ideal of science (VFI), this paper argues that the influence of extra-scientific values should be minimised—not excluded—in the core phase of scientific inquiry where claims are accepted or rejected. Noting that the original arguments for the VFI (ensuring the truth of scientific knowledge, respecting the autonomy of science results users, preserving public trust in science) have not been satisfactorily addressed (...) by proponents of the VLT, it proposes four prerequisites which any model for values in the acceptance/rejection phase of scientific inquiry should respect, coming from the fundamental requirement to distinguish between facts and values: (1) the truth of scientific knowledge must be ensured; (2) the uncertainties associated with scientific claims must be stated clearly; (3) claims accepted into the scientific corpus must be distinguished from claims taken as a basis for action. An additional prerequisite of (4) simplicity and systematicity is desirable, if the model is to be applicable. Methodological documents from international institutions and regulation agencies are used to illustrate the prerequisites. A model combining Betz’s conception (stating uncertainties associated with scientific claims) and Hansson’s corpus model (ensuring the truth of the scientific corpus and distinguishing it from other claims taken as a basis for action) is proposed. Additional prerequisites are finally suggested for future research, stemming from the requirement for philosophy of science to self-reflect on its own values: (5) any model for values in science must be descriptively and normatively relevant; and (6) its consequences must be thoroughly assessed. (shrink)

These involved theorems on sweeping nets, saddle maps and complex analysis are a thorough examination of the method an its fundamental mechanics. The basic foundation of this analytical method is useful to any artificer of mechanical programs or development of software applications that involve computer vision or graphics. These methods will have application to further theories and methods in string theory and cosmology or even approximation of environmental factors for machine learning. -/- .

This paper puts forth Central Asian AI ethics principles and proposes a layered strategy tailored for the development of ethical principles in the field of artificial intelligence (AI) in Central Asian countries. This approach includes the customization of AI ethics principles to resonate with local nuances, the formulation of national and regional-level AI ethics principles, and the implementation of sector-specific principles. While countering the narrative of ineffectiveness of the AI ethics principles, this paper underscores the importance of stakeholder collaboration, provides (...) a comprehensive framework, and emphasizes the need for responsible AI practices. By adopting this approach, Central Asian region can contribute towards the regional integration and global discourse on AI ethics while promoting the responsible use of AI technology in their respective countries. (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. -/- .

Bilim felsefesinin en temel problemlerinden biri olan sınırlandırma problemi belirli bir ölçüt vasıtası ile bilimi, bilimsel olmayan ya da sahte/sözde bilim olan etkinliklerden ayırt edip edemeyeceğimizi konu edinmektedir. Literatüre baktığımızda felsefeciler –özellikle bilim felsefecileri– bilimin doğasını karakterize etme girişiminde bulunurken bilim dilinin mantıksal yapısına ya da bilimin tarihsel süreçlerine odaklanarak, bilimi bilimsel olmayan ya da sahte-bilim olan etkinliklerden ayırt etmişlerdir. Bu çalışma ise farklı bir yaklaşım benimseyerek sınırlandırma problemine, felsefecilerin değil, bilim insanlarının perspektifi ile bakmayı amaçlamaktadır. Bu sebeple alanında deneyimli (...) ve çeşitli bilim dallarında profesör olan otuz bilim insanı ile niteliksel araştırma yöntemlerinden biri olan yapılandırılmış görüşme tekniği uygulanmıştır. Bu görüşmeler aracılığıyla bilim insanlarının sınırlandırma problemi hususunda öne sürdükleri görüşler açığa çıkartılıp değerlendirilmiştir. Değerlendirme neticesinde üç temel bulguya ulaşılmıştır. İlki, sınırlandırma problemine ilişkin sorularımıza bilim insanları tarafından getirilen yanıtların birçoğu temel felsefi yaklaşımlarla uyuşmaktadır. Elde ettiğimiz verileri farklı temalar altında analiz ettiğimiz bu çalışmada, sınırlandırma problemine dair yaygın felsefi görüşlerin, bilim insanlarının görüşleri ile anlamlı benzerlikler taşıdığı kısımlar vurgulanmıştır. İkincisi, sınırlandırma problemi ve bu problemlerle ilişkili diğer meseleler üzerinde felsefi olarak sağlanamayan uzlaşma, bilim insanları arasında da mevcuttur. Ne var ki bu ihtilaf dengeli bir biçimdedir, öyle ki benzer yanıtlara sahip olan bilim insanları baskın bir grup sayısına ulaşmamıştır. Üçüncü ve son olarak, bilim insanlarının bilim felsefesinin temel problemlerine yüksek oranda yabancı olduğu görülmektedir. Bu bulgu, her ne kadar nicel olmayan bir yolla ölçülmüşse de verilerin dikkatli analizi durumun bu yönde olduğunu göstermektedir. Tüm bu temel bulgular ışığında, genel değerlendirmemiz, farklı türden yapılandırılmış görüşmelerin çok daha detaylı sonuçlar temin edebileceğidir. (shrink)

Active materials are self-propelled non-living entities which, in some circumstances, exhibit a number of cognitively interesting behaviors such as gradient-following, avoiding obstacles, signaling and group coordination. This has led to scientific and philosophical discussion of whether this may make them useful as minimal models of cognition (Hanczyc, 2014; McGivern, 2019). Batterman and Rice (2014) have argued that what makes a minimal model explanatory is that the model is ultimately in the same universality class as the target system, which underpins why (...) it exhibits the same macrobehavior. We appeal to recent research in basal cognition (Lyon et al., 2021) to establish appropriate target systems and essential features of cognition as a target of modeling. Looking at self-propelled oil droplets, a type of active material, we do not find that organization alone indicates that these systems exhibit the essential features of cognition. We then examine the specific behaviors of oil droplets but also fail to find that these demonstrate the essential features of cognition. Without a universality class, Batterman & Rice’s account of the explanatory power of minimal models simply does not apply to cognition. However, we also want to stress that it is not intended to; cognition is not the same type of behavioral phenomena as those found in physics. We then look to the minimal cognition methodology of Beer (1996, 2020a, b) to show how active materials can be explanatorily valuable regardless of their cognitive status because they engage in specific behaviors that have traditionally been expected to involve internal representational dynamics, revealing misconceptions about the cognitive underpinnings of certain, specific behaviors in target systems where such behaviors are cognitive. Further, Beer’s models can also be genuinely explanatory by providing dynamical explanations. (shrink)

This book is the first volume featuring the work of American women philosophers in the first half of the twentieth century. It provides selected papers authored by Mary Whiton Calkins, Grace Andrus de Laguna, Grace Neal Dolson, Marjorie Glicksman Grene, Marjorie Silliman Harris, Thelma Zemo Lavine, Marie Collins Swabey, Ellen Bliss Talbot, Dorothy Walsh and Margaret Floy Washburn. The book also provides the historical and philosophical background to their work. The papers focus on the nature of philosophy, knowledge, the philosophy (...) of science, the mind-matter nexus, the nature of time, and the question of freedom and the individual. The material is suitable for scholars, researchers and advanced philosophy students interested in (history of) philosophy; theories of knowledge; philosophy of science; mind, and reality. (shrink)

In the paper I will, first, address certain apparent tensions in relation to Kuhn’s legacy in the history of science. Kuhn was a historian before he became a philosopher of science. He had done and published historical work, he only had history graduate students, he imbued philosophy of science with historical considerations. And, yet, his widely acknowledged influence on the history of science came mostly through his philosophical work which is, nevertheless, brushed off by historians of science as making dated (...) overarching and generalizing claims when their own attention has been increasingly focusing on the local and the particular. Secondly, I will discuss how Kuhn used history, the facts of the past, in his historical philosophy of science and will present a reading that takes his model of science as a Wittgensteinian object of comparison. Lastly, I will argue that Kuhn’s philosophical work impacted developments in the historiography of science and the corresponding discipline. (shrink)

To have a well-functioning principle of academic freedom, we need to distin-guish critique from an infringement of academic freedom. To achieve this goal, this paper presents three necessary conditions for something to be an infringe-ment of academic freedom. These conditions allow to delineate cases in which at least one of the three conditions is not fulfilled. These are contrast cases that might – at first glance – look like infringements of academic freedom but are, in fact, not so. I will (...) refer to five such kinds of contrast cases: (1) discrimination and thus a more general kind of unjust treatment of a person engaged in aca-demic affairs, (2) infringement of freedom of speech or other non-academic intel-lectual freedoms, (3) mere critique, (4) justified critique that leads to justified limitations of someone’s academic freedom, and (5) cases of deep disagreement. Special attention will be given to vulnerabilities concerning unjustified silencing of critique, which haunt fields that lack clear and agreed-on ethical or academic standards. (shrink)

When scientists or science reporters communicate research results to the public, this often involves ethical and epistemic risks. One such risk arises when scientific claims cause cognitive or behavioural changes in the audience that contribute to the self-fulfilment of these claims. I argue that the ethical and epistemic problems that such self-fulfilment effects may pose are much broader and more common than hitherto appreciated. Moreover, these problems are often due to a specific psychological phenomenon that has been neglected in the (...) research on science communication: many people tend to conform to ‘descriptive norms’, that is, norms capturing (perceptions of) what others commonly do, think, or feel. Because of this tendency, science communication may frequently produce significant social harm. I contend that scientists have a responsibility to assess the risk of this potential harm and consider adopting strategies to mitigate it. I introduce one such strategy and argue that its implementation is independently well motivated by the fact that it helps improve scientific accuracy. (shrink)

All extant purely probabilistic measures of explanatory power satisfy the following technical condition: if Pr(E | H1) > Pr(E | H2) and Pr(E | ∼H1) < Pr(E | ∼H2), then H1’s explanatory power with respect to E is greater than H2’s explanatory power with respect to E. We argue that any measure satisfying this condition faces three serious problems—the Problem of Temporal Shallowness, the Problem of Negative Causal Interactions, and the Problem of Nonexplanations. We further argue that many such measures (...) face a fourth problem—the Problem of Explanatory Irrelevance. (shrink)

The value-free ideal for science holds that values should not influence the core features of scientific reasoning. We defend the difference-to-inference model of value-permeation, which holds that value-permeation in science is problematic when values make a difference to the inferences made about a hypothesis. This view of value-permeation is superior to existing views, and it suggests a corresponding maxim—namely, that scientists should strive to eliminate differences to inference. This maxim is the basis of a novel value-free ideal for science. -/- (...) . (shrink)

We simulate trial data to test speculative claims about research methods, such as the impact of publication bias.

Some academics and state officials in Indonesia argue for the adoption of Pancasila as a scientific paradigm for the country's scientific endeavours. They believe that using Pancasila as a foundation could give Indonesian science a distinct and unique character. However, this article seeks to reevaluate the feasibility of Pancasila as a scientific paradigm. By reviewing the literature on Pancasila and the philosophy of science, it arrives at the conclusion that Pancasila cannot serve as a scientific paradigm, either in a narrow (...) or comprehensive sense. Two primary reasons support this conclusion. Firstly, Pancasila lacks the necessary characteristics of a well-established scientific achievement. As a result, it cannot function as a scientific paradigm in the narrow sense defined by Kuhn. Secondly, Pancasila carries theological baggage that surpasses science’s capacity to accommodate it. This aspect prevents Pancasila from becoming a comprehensive scientific paradigm. Consequently, I propose that Pancasila is more suitable as an axiological basis for science, rather than a scientific paradigm. Unlike a scientific paradigm, this axiological foundation does not fall within the epistemic scope of science. (shrink)

Machine-based automation has long been a key factor in the modern era. However, lately, many people have been shocked by artificial intelligence (AI) applications, such as ChatGPT (OpenAI), that can perform tasks previously thought to be human-exclusive. With recent advances in natural language processing (NLP) technologies, AI can generate written content that is similar to human-made products, and this ability has a variety of applications. As the technology of large language models continues to progress by making use of colossal reservoirs (...) of digital information, AI is becoming more capable of recognizing patterns and associations within given contexts, making it especially helpful in assisting with various professional writing tasks [1]. In this paper, we will discuss several key points regarding the current state and future of AI in academia. Furthermore, since in certain aspects, acts can speak louder than words, we will also present some of our hands-on experiences of working with ChatGPT. (shrink)