General Philosophy of Science, Miscellaneous

Scientists regularly invoke broadly aesthetic properties like elegance and simplicity when evaluating theories, but why should we expect aesthetic pleasure to signal an epistemic good? I argue that aesthetic judgements in science are best understood as a special case of affective cognition, and that the feelings on which these judgements are based are the upshots of metacognitive monitoring of the quality of our engagement with theory and evidence. Finding a theory beautiful fallibly signals that it fits well with our background (...) knowledge and that it’s neither artificially adjusted to accommodate otherwise disconfirming evidence nor fitted to noise in the data, which makes aesthetic pleasure a good heuristic for theory evaluation. (shrink)

The ontic conception of explanation is predicated on the proposition that “explanation is a relation between real objects in the world” and hence, according to this approach, scientific explanation cannot take place absent such a premise. Despite the fact that critics have emphasized several drawbacks of the ontic conception, as for example its inability to address the so-called “abstract explanations”, the debate is not settled and the ontic view can claim to capture cases of explanation that are non-abstract, such as (...) causal relations between events. However, by eliminating the distinction between abstract and non-abstract explanations, it follows that ontic and epistemic proposals can no longer contend to capture different cases of explanation and either all are captured by the ontic view or all are captured by the epistemic view. On closer inspection, it turns out that the ontic view deals with events that fall outside the scientists’ scope of observation and that it does not accommodate common instances of explanation such as explanations from false propositions and hence it cannot establish itself as the dominant philosophical stance with respect to explanation. On the contrary, the epistemic conception does account for almost all episodes of explanation and can be described as a relation between representations, whereby the explanans transmit information to the explanandum and that this information can come, dependent on context, in the form of any of the available theories of explanation (law-like, unificatory, causal and non-causal). The range of application of the ontic view thus is severely restricted to trivial cases of explanation that come through direct observation of the events involved in an explanation and explanation is to be mostly conceived epistemically. (shrink)

In this article I examine several related views expressed by Robin Hendry concerning molecular structure, emergence and chemical bonding. There is a long-standing problem in the philosophy of chemistry arising from the fact that molecular structure cannot be strictly derived from quantum mechanics. Two or more compounds which share a molecular formula, but which differ with respect to their structures, have identical Hamiltonian operators within the quantum mechanical formalism. As a consequence, the properties of all such isomers yield precisely the (...) same calculated quantities such as their energies, dipole moments etc. The only means through which the difference between the isomers can be recovered is to build their structures into the quantum mechanical calculations, something that is carried out by the application of the Born-Oppenheimer approximation. Consequently, it has been argued by many authors that molecular structure is written in ‘by hand’ rather than derived. Robin Hendry is one such author, but he goes a great deal further by proposing that this situation implies the existence of emergence and downward causation. In the current article I argue that there are alternative explanations which render emergence and downward causation redundant. Such an alternative lies in the notion of quantum decoherence and the appeal to work in the foundations of physics, which posits that the various isomers exist as a superposition until their wavefunctions are collapsed either by observation or by interacting with their environment. Hendry also alludes to a debate among chemists as to whether chemical bonds are real or not, in the sense of directional connections between two or more nuclei in any given molecule. I reject this view and propose that the structural and energetic views of chemical bonding, that have been discussed by some philosophers of chemistry including Hendry, do not refer to any essential ontological differences. I agree that chemists view bonding in a more realistic fashion and may consider bonds to be in some senses real, while physicists may consider bonding in more abstract energetic terms. However, I do not believe that such differences in scientific practice and attitudes should be considered to offer a window as to the ontological status of bonding or whether bonding is real. Finally, I discuss the kinetic energy school of chemical bonding which would seem to challenge any notion of bonds as directional entities, since bonding is no longer regarded as being primarily due to the build-up of electron density between nuclei. (shrink)

This chapter focuses on the experimental practices and reasoning strategies employed in nineteenth century investigations on the causal origin of the phenomenon of Brownian movement. It argues that there was an extensive and sophisticated experimental work done on the phenomenon throughout the nineteenth century. Investigators followed as rigorously as possible the methodological standards of their time to make causal claims and advance causal explanations of Brownian movement. Two major methodological strategies were employed. The first was the experimental strategy of varying (...) the circumstances. Suspected causal factors were varied and the resulting effect on Brownian movement was studied. The main goal of this strategy was the identification of difference-making factors, i.e., factors having a causal influence on the phenomenon. The second was the so-called method of hypothesis. Rather than relying exclusively on the ability of experiments to identify difference-making factors, its proponents tried to show how the independently developed tenets of the new kinetic-molecular conception of matter provided a plausible causal explanation of Brownian movement. Each one of these methodological strategies had its distinctive practices and notions of control. None of these strategies could, on its own, establish molecular motion as the cause of Brownian movement. It was only the fruitful combination of the two strategies and of their accompanying practices and notions of control that led, at the end of the nineteenth century, to the recognition of molecular motion as the most probable cause of Brownian movement. (shrink)

I offer a new interpretation of Feyerabend’s ‘conquest of abundance’ narrative. I consider and reject both the ontological reading as implausible and the ‘historical’ reading as uncompelling My own proposal is that the ‘conquest of abundance’ be understood in terms of an impoverishment of the richness of human experience. For Feyerabend, such abundance is ‘conquered’ when individuals internalize distorting epistemic prejudices including those integral to the theoretical conceptions associated with the sciences. I describe several ways, identified by Feyerabend, in which (...) individuals can be led to occlude the richness of their experience in ways that are existentially impoverishing. (shrink)

Epistemic pluralists in the philosophy of science often argue that different epistemic perspectives in science are equally warranted. Sandra Mitchell – with her Integrative Pluralism (IP) – has notably advocated for this kind of epistemic pluralism. A problem arises for Mitchell however because she also wants to be an epistemological pluralist. She claims that, not only are different epistemic perspectives in science equally warranted in different contexts, but different understandings of these epistemic perspectives in science are also equally warranted in (...) different contexts. The problem is that Mitchell argues that her understanding of epistemic perspectives in science (IP) is the correct one, and it is dilemmic to then claim that there is more than one such understanding. As solution, I suggest that we abandon epistemological pluralism and instead follow Feyerabend in being opportunistic pluralists. We can adopt pluralism as a short-term strategy in the pursuit of a long-term unitary goal. This unitary goal is what philosophers of understanding call objectual understanding, the kind of understanding that Integrative Pluralism tacitly aspires to anyway. (shrink)

Distinctively mathematical explanations (DMEs) explain natural phenomena primarily by appeal to mathematical facts. One important question is whether there can be an ontic account of DME. An ontic account of DME would treat the explananda and explanantia of DMEs as ontic structures and the explanatory relation between them as an ontic relation (e.g., Pincock 2015, Povich 2021). Here I present a conventionalist account of DME, defend it against objections, and argue that it should be considered ontic. Notably, if indeed it (...) is ontic, the conventionalist account seems to avoid a convincing objection to other ontic accounts (Kuorikoski 2021). (shrink)

Post-classical period witnessed intense debates on aspects of the Avicennan theory of science. Among them one set of discussions concerned the issue of subject matter (mabāhith al-mawdūʿ) in a science. They were raised by Ṣadr al-Sharīʿa (d. 747/1346) in the introduction of his al-Tawḍīh, a commentary on his legal theory text al-Tanqīḥ. Therein, he raised three questions: (1) whether the subject matter of a science can be multiple, (2) what restricting subject matter of a science means, and (3) whether one (...) thing can be the subject matter of multiple sciences. Taftāzānī (d. 792/1390), a proponent of the Avicennan theory, objected to Ṣadr al-Sharīʿa’s positions in his al-Talwīḥ, the most well-known supercommentary on al-Tawḍīh. The paper analyzes this debate on the issue of subject matter in sciences, and thus sheds light on the reception of an important aspect of the Avicennan theory of science in the postclassical period. (shrink)

In this paper, I distinguish three general approaches to public trust in science, which I call the individual approach, the semi-social approach, and the social approach, and critically examine their proposed solutions to what I call the problem of harmful distrust. I argue that, despite their differences, the individual and the semi-social approaches see the solution to the problem of harmful distrust as consisting primarily in trying to persuade individual citizens to trust science and that both approaches face two general (...) problems, which I call the problem of overidealizing science and the problem of overburdening citizens. I then argue that in order to avoid these problems we need to embrace a (thoroughly) social approach to public trust in science, which emphasizes the social dimensions of the reception, transmission, and uptake of scientific knowledge in society and the ways in which social forces influence both positively and negatively the trustworthiness of science. (shrink)

Leonelli (2016) suggested a relational view of data against a representational view by emphasizing data-centric biology rather than the theory-centric tradition in the philosophy of science. This is because the first view allows for data journeys across laboratories using public database resources, whereas the second does not. This paper examines Leonelli’s strategies to defend the relational view of data. Contrary to Leonelli’s intention, it indicates that her strategies led to unnecessary misunderstandings of the relationships among data, representation, and evidential values. (...) It will be argued that evidential values of data are inevitably based on a representational feature and that it is better to reconcile both views of data as complementary rather than contrasting. (shrink)

According to John D. Norton's Material Theory of Induction, all inductive inferences are justified by local facts, rather than their formal features or some grand principles of nature's uniformity. Recently, Richard Dawid (Found Phys 45(9):1101–1109, 2015) has offered a challenge to this theory: in an adaptation of Norton's own celebrated "Dome" thought experiment, it seems that there are certain inductions that are intuitively reasonable, but which do not have any local facts that could serve to justify them in accordance with (...) Norton's requirements. Dawid's suggestion is that “raw induction” might have a limited but important role for such inferences. I argue that the Material Theory can accommodate such inductions, because there are local facts concerning the combinatoric features of the induction’s target populations that can licence the inferences in an analogous way to existing examples of material induction. Since my arguments are largely independent of the details of the Dome, Norton's theory emerges as surprisingly robust against criticisms of excessive narrowness. (shrink)

(The Kindle book can be ordered for $3.21 from Amazon) -/- Thinking is a fundamental activity of our species – those that give names to other creatures and call themselves humans. Textbooks tell us that there is about 1.2 kg of matter called the brain inside the human body. It sounds small but actually is proportionally the biggest among all animals on Earth. -/- I became more aware of thinking at around 5th grade upon hearing about an ancient paradox. It (...) can be summarized as follows. -/- ¤ -/- Once upon a time, there was a stupid king. In his kingdom lived a sage who was highly respected for his intelligence. The King did not appreciate this fact. Maybe the Sage made fun of the King’s intellect, but I am not so sure. Anyway, one day, the King summoned the Sage, intending to kill him. -/- The King said, “Wise man, I heard you earn a living by thinking and arguing. Now I give you two options to die.” -/- The Sage said, “Please tell me the choices, Your Majesty.” -/- The King continued, “You live by your tongue, so I will let you say one sentence before you die. If what you say is true, you will die by hanging. If what you say is false, you will die by beheading.” -/- Little did the King know that this was a stupid order. After a short while, the Sage confidently spoke his “last words”, which actually were what saved his life: -/- “Your Majesty, I am about to be beheaded!” -/- ¤ -/- As a “wild animal” going out into life from a young age, my brain spent a lot of time and energy looking for food. Now that I have become older, my body no longer needs so much sustenance. However, my mind craves a different type of nourishment: food for thought. -/- Food for thought can directly lead to food (on the table). My main job as a scientist exemplifies what I have just stated. Maybe we were wrong. Maybe it has been “thought for food” all along, like in such a sequence as TFFTTTFTFFTTFFFT... -/- In the hyper-chaotic infosphere today, we are surrounded by the noises of information, not only as wavy shores or waterfalls but also mega-tsunamis, through Twitter, Facebook, Tiktok, Instagram, Youtube, etc. More than ever, tranquility and calmness are necessary. Like what you have seen in wilderness video clips, predators such as lions, bears, and alligators act lightning-fast when catching prey. But when food is served, the natural world returns to its peaceful, soothing silence. -/- This short book is in its own tidy infosphere, where each little story is also brief and self-contained. Despite this small appearance, I hope the content inside carries the value of tranquility and life observation. The book is petite, but pretty sure not malnourished. A not-too-small detail is that the way the content was shaped and distilled reflects some innovations of mine and my research team: the mindsponge theory, a new theory of serendipity, the bayesvl R package, the BMF analytics, as well as other experiences from working in the field of science. After all, scientific works were my main source of food (before this book sells well – if it does). -/- Welcome to the priceless sober moments – with a chicken-burger price tag! -/- I hope this book will bring readers some moments of calmness, peaceful smiles, and maybe a couple of good laughs too. -/- ~~~ -/- *This update: December 12, 2023 (Third edition, with additions). (shrink)

In the Western tradition, at least since the 14th century, the philosophy of knowledge has been built around the idea of knowledge as a representation [BOU 99]. The question of the evaluation of knowledge refers at the same time (1) to the object represented (which one does one represent?), (2) to the process of knowledge formation, in particular with the role of the knowing subject (which one does one represent and how does one represent it?), and finally (3) to the (...) relationship between the representation and the represented object. Criteria of evaluation such as “validity”, “adequacy” or “truth”, as mentioned in [AMB 07], make sense only with respect to these three dimensions. An evaluation can thus (1) depend on the ontological nature of the object of knowledge, (2) relate to the relationship between subject and object—including the structures (cognitive, social) which organize this relationship, or (3) relate to the relation of similarity between the object and its representation as well. The relevant criteria of evaluation thus depend on the points of view adopted on these questions. As there are indeed a plurality of points of view in this field, the goal of this appendix is to summarize, as briefly as possible, the various positions adopted by the philosophers and to refer to the relevant texts of reference for more information (for a first outline [CHA 76, SCH 01]). The first section 1 introduces useful discussions about the philosophy of theoretical knowledge and general epistemology, from a quasi-historical perspective. Section two 2 discusses the intermediary but central notion of models. Section three 3, more exploratory, introduces an approach to simulation as “concrete experiment”. It suggests that such a frequent claim in the literature, when precisely evaluated, can, to some extent, renew both the representational and the linguistic views on simulation. (shrink)

In this paper I shall defend the idea that there is an abstract and general core meaning of objectivity, and what is seen as a variety of concepts or conceptions of objectivity are in fact criteria of, or means to achieve, objectivity. I shall then discuss the ideal of value-free science and its relation to the objectivity of science; its status can be at best a criterion of, or means for, objectivity. Given this analysis, we can then turn to the (...) problem of inductive risk. Do the value judgements regarding inductive risk really pose a threat to the objectivity of science? I claim that this is not the case because they do not lower the thresholds scientifically postulated for objectivity. I shall conclude the paper with a discussion of under-appreciated influences of values on science, which indeed pose a serious threat to the objectivity of some scientific disciplines. (shrink)

As the title asserts, it is impossible to teach the theory of special relativity without deceiving the student, which means that everyone who already accepts the theory as truth has been deceived. The resulting problem from this deception is, not only is science being held back as people not being told truth, these people are passing their deception onto others, even using time dilation as an answer to the distant starlight problem which many use to attack the account of Biblical (...) creation instead of focusing on the error which yields such exaggerated stellar measurements. The focus of this paper is to expose many of the deceptions within physics texts used to deceive the student, along with several lies which have been told in support of the theory, such as GPS requiring relativity, the Hafele-Keating experiment, muons, etc., while also revealing Einstein’s confusion concerning light. (shrink)

La tesis principal de este trabajo es que los modelos estadísticos facilitan explicaciones acerca de los errores que pueden cometer nuestros procedimientos de inferencia de datos a fenómenos, en el contexto de la estadística clásica o frecuentista. La explicación del error es una operación que, a su vez, ayuda a evitarlo en donde es evitable e intolerable; tolerarlo donde es inevitable y tolerable; y suspender el juicio donde es inevitable e intolerable. Todas estas operaciones son elementos de una práctica generadora (...) de evidencia confiable. Se ilustra esta tesis con el modelo lineal en econometría, el estimador de mínimos cuadrados ordinarios, el estimador y modelo de variables instrumentales y con los conceptos relacionados con las pruebas de hipótesis. Se pone especial énfasis en las propiedades de insesgadez, consistencia y precisión como caracterizaciones del tipo de error que se puede cometer usándo un estimador. Se sostiene que los modelos explican identificando patrones de dependencia contrafáctica entre características del mecanismo estocástico representadas por el modelo y características de los procedimientos inferenciales. (shrink)

I propose that the intensification of meat production ironically makes meat concepts available to be populated by plants. I argue that what I call “technologies of effacement” facilitate the intensification of animal farming and slaughter by blocking face-to-face encounters between animals and people (Levinas 1969; Efstathiou 2018, 2019). My previous ethnographic work on animal research identifies technologies of effacement as including (a) architectures and the built environment, (b) entry and exit rules, (c) special garments, (d) naming and labeling procedures, and (...) (e) protocols for handling animals (Efstathiou 2018, 2019). Building on ethnographic research by Dawn Coppin (2003) and Nöellie Vialles (1994), in the United States and France respectively, I propose that (a) Concentrated Animal Feeding Operation (CAFO) buildings, gestation, and farrowing crates; (b) rules for entering and exiting the slaughterhouse; (c) white slaughterhouse garments; (d) unique identification systems; and (e) “trapping” animals before stunning can all operate as technologies of effacement. Though developed to serve other manifest aims, like hygiene, expediency, or safety, these technologies operate to sustain routine, inviting one to look at animals as tokens of a known type while blocking encounters between humans and animals (and also among animals) as radically different, morally significant Others (Efstathiou 2018, 2019). (shrink)

When introduced around 1925, interdisciplinarity, grounded in the notion of the unity of knowledge, was meant to reconnect the fragmented and specialized disciplines of academia. However, interdisciplinary research became more and more challenging as the plurality and heterogeneity of disciplinary perspectives and insights increased. Insisting on this divergence and diversity, Julie Thompson Klein has nonetheless contributed in important ways to convergence in interdisciplinarity with her work on the process of integration as interdisciplinarity's defining feature. Of course, she is aware that (...) the increasing inclusion of extra-academic stakeholders in transdisciplinary research constitutes a fundamental challenge to integrative interdisciplinarity. This challenge implies that next to academic contributions, experiential knowledge, interests, and norms must be recognized as valuable to the process, and stakeholder expectations of applicable results must be met. Exploring the future by extending this crucial development further, this article focuses on the actionability of knowledge as an additional criterion for effective interdisciplinarity and transdisciplinarity, as it is in Action Research. With action options for stakeholders being an important goal for such research, it is argued that joint deliberation about these options must be part of the process, aiming for reflective equilibrium. At the same time, an important role for imagination is defended, enabling adequate consideration of action options with their ramifications and implications. The future of interdisciplinarity, it is concluded, will entail an important role for the actionability criterion and for the related role of imagination of potential outcomes, much greater roles than these now have. (shrink)

Thomas Kuhn, in The Structure of Scientific Revolution, distinguishes between two types of sciences-one, normal; the other, revolutionary. However, the transition from normal to revolutionary science (what he calls paradigm-shift) is initiated by anomaly. This anomaly arises when the paradigm guiding a particular community of scientists malfunctions, thus resisting all efforts to reposition it. Hence, science for Kuhn, grows through the paradigm-shift initiated by tension. However, Kuhn argues that the process of choosing another paradigm that will guild scientific practices requires (...) a thorough debate among a community of scientists. In this debate, a new paradigm is selected out of numerous competing others by the method of elimination. This selection is based on their ability to solve problems and to guide research work without developing further faults. Nevertheless, in this understanding of scientific growth, in our view, inheres some contradictions. In the first places, Kuhn attributes growth to paradigm-shift through tension and anomaly but argues that a new paradigm must be selected based on its ability not to develop fault. It is not, however clear how paradigm-shift can occur if there is no fault, tension or anomaly in research. Secondly, he bases the selection of a new paradigm on the inarticulate aesthetic sentiments, faith and destiny, which contradicts the initial argument that it must be selected based on its observed inherent problem-solving ability out of the numerous others. We shall discuss these notable flaws in Kuhn's view of scientific growth, using the method of critical argumentation and conceptual clarification. (shrink)

Originally appeared in the field of thermodynamics, the concept of entropy, especially in its statistical acceptation, has found applications in many different disciplines, both inside and outside science. In this work we focus on the possibility of drawing an isomorphism between the entropy of Boltzmann’s statistical mechanics and that of Xenakis’s stochastic music theory. We expose the major technical aspects of the two entropies and then consider affinities and differences between them, both at syntactic and at semantic level, hereto particularly (...) referring to the philosophical problem of the asymmetry of time. (shrink)

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

The medical use of computing and information and communication technologies (ICTs) has a history of several decades, but the emergence of the internet, and especially the web and social media, created a new situation. As a result, currently the term eHealth is widely used – and the usage of the internet (and mobile) “technologies” in healthcare (among the patients and professionals, too) tends to be usual practice. There are more and more signs of the institutionalization of this new sub-disciplinary field (...) of medicine, such as social organizations, healthcare institutes, scientific journals, regular conferences, etc. In this paper, collecting the most relevant developments we will try to characterize this state of affairs in the field. Moreover, as it is well-known, the use of the internet has an enormous impact on society, social systems and subsystems, and even on the everyday life of people. This extended practice also influences medicine and healthcare as social subsystems, and fundamentally transforms some of their characteristics. In this paper, we try to show several important dimensions of these changes. (shrink)

In both scientific and popular circles it is often said that we are in the midst of a sixth mass extinction. Although the urgency of our present environmental crises is not in doubt, such claims of a present mass extinction are highly controversial scientifically. Our aims are, first, to get to the bottom of this scientific debate by shedding philosophical light on the many conceptual and methodological challenges involved in answering this scientific question, and, second, to offer new philosophical perspectives (...) on what the value of asking this question has been — and whether that value persists today. We show that the conceptual challenges in defining ‘mass extinction’, uncertainties in past and present diversity assessments, and data incommensurabilities undermine a straightforward answer to the question of whether we are in, or entering, a sixth mass extinction today. More broadly we argue that an excessive focus on the mass extinction framing can be misleading for present conservation efforts and may lead us to miss out on the many other valuable insights that Earth’s deep time can offer in guiding our future. (shrink)

A review of Eric Schneider and Dorion Sagan's 2006, "Into the Cool: Energy Flows, Thermodynamics, and Life.".

A commissioned 3-volume (800 pages) in-depth introduction to the philosophy of science, peer-reviewed by 11 specialists. (In Hebrew).

Computational modeling should play a central role in philosophy. In this introduction to our topical collection, we propose a small topology of computational modeling in philosophy in general, and show how the various contributions to our topical collection fit into this overall picture. On this basis, we describe some of the ways in which computational models from other disciplines have found their way into philosophy, and how the principles one found here still underlie current trends in the field. Moreover, we (...) argue that philosophers contribute to computational modeling not only by building their own models, but also by thinking about the various applications of the method in philosophy and the sciences. In this context, we note that models in philosophy are usually simple, while models in the sciences are often more complex and empirically grounded. Bridging certain methodological gaps that arise from this discrepancy may prove to be challenging and fruitful for the further development of computational modeling in philosophy and beyond. (shrink)

Philosophy of science studies science and the production of scientific knowledge. Usually, philosophical investigations of this field focus mainly on metaphysical, epistemological, and methodological aspects of science. Despite being divided into the general philosophy of science and philosophy of special sciences, philosophy of science, in a general way, is still distant from scientific practice per se. In order to fill this gap, a third subfield has emerged, philosophy of science in practice. This article provides a brief introduction to the philosophy (...) of science in practice and to the Society for Philosophy of Science in Practice. It discusses its goals, methods, its social and empirical engagement. It is expected that this article will shed light on the diversity and possibility of investigations for a philosophy of science beyond meta-analysis, in other words, that is empirically engaged and socially informed. - A filosofia da ciência estuda a ciência, o modus operandi da ciência e o conhecimento científico. Convencionalmente, as investigações filosóficas desse campo se debruçam principalmente sobre aspectos metafísicos, epistemológicos e metodológicos da produção de conhecimento nas ciências. Muito embora seja tradicionalmente subdividida em filosofia geral das ciências e filosofia das ciências especiais, a filosofia da ciência de uma forma geral ainda se mantém distante das práticas científicas propriamente ditas. Para suprir tal demanda surge uma terceira subdivisão, ainda embrionária, a filosofia da ciência em prática. Este artigo apresenta uma breve introdução à filosofia da ciência em prática e à Sociedade de Filosofia da Ciência em Prática, discute seus objetivos e estratégias metodológicas, bem como seu engajamento social e empírico. Espero que, com esse artigo, seja possível trazer uma breve noção sobre a diversidade de investigações e as possibilidades de uma filosofia da ciência que pode ir para além do escopo meta-analítico, que pode ser empiricamente engajada e socialmente informada. (shrink)

We provide two programmatic frameworks for integrating philosophical research on understanding with complementary work in computer science, psychology, and neuroscience. First, philosophical theories of understanding have consequences about how agents should reason if they are to understand that can then be evaluated empirically by their concordance with findings in scientific studies of reasoning. Second, these studies use a multitude of explanations, and a philosophical theory of understanding is well suited to integrating these explanations in illuminating ways.

"Scientific Research in the Era of Big Data" - this book was also published in French (Mimesis) in 2019 and in Portuguese in 2022 (FIOCRUZ editors).

This study takes off from the ethical problem that racism grounded in population genetics raises. It is an analysis of four standard scientific responses to the problem of genetically motivated racism, seen in connection with the Human Genome Diversity Project (HGDP): (1) Discriminatory uses of scientific facts and arguments are in principle ‘misuses’ of scientific data that the researcher cannot be further responsible for. (2) In a strict scientific sense, genomic facts ‘disclaim racism’, which means that an epistemically correct grasp (...) of genomics should be ethically justified. (3) Ethical difficulties are issues to be ‘resolved’ by an ethics institution or committee, which will guarantee the ethical quality of the research scrutinized. (4) Although population genetics occasionally may lead to racism, its overall ‘value’ for humankind justifies its cause as a desirable pursuit. I argue that these typical responses to genetically motivated racism supervene on a principle called the ‘ethic of knowledge’, which implies that an epistemically correct account has intrinsic ethical value. This principle, and its logically related ideas concerning the ethic of science, effectively avoids a deeper ethical question of responsibility in science from being raised. (shrink)

Within science fiction the topic of ‘first contact’ is a popular theme. How will an encounter with aliens unfold? Will we succeed in communicating with them? Although such questions are present in the background of many science fiction novels, they are not always explicitly dealt with and even if so, often in a poor way. In this article, I will introduce a typology of five dominant types of solutions to the problem of first contact in science fiction works. The first (...) four solutions are the more dominant, but also the least interesting ones. There is a fifth category that addresses the question of first contact in a more interesting way, exemplified by the work of Stanisław Lem. This fifth option defines itself as a critique of the four previous categories, or of their shared assumption of what Lem (1967) has called ‘the myth of cognitive universality’. Lem is sceptical of the common optimism that first contact will always be successful. In books such as Solaris (1961), His Master’s Voice (1967) and Fiasco (1986), humanity makes first contact with an alien phenomenon, but fails to comprehend the phenomenon. Fundamentally, it will be argued that Lem’s work shows that in such an encounter we will typically not only lack the right answers to our questions, but that we also often lack the correct questions: we simply do not have the right categories or instruments to even recognize, let alone meaningfully interrogate, the alien phenomenon. The article ends with an exploration of the implications of Lem’s pessimism and whether it is the most plausible option for first contact. Moreover, the article will draw some lessons for philosophy of science, by exploring the parallel with the confrontation of novel or deviant phenomena in science. Lem’s work is helpful here because it succeeds in articulating what has not always been appreciated in the philosophy of science, namely that the right questions by which to interrogate scientific phenomena are not given, but that their articulation always requires work. (shrink)

Discussion of epistemic responsibility typically focuses on belief formation and actions leading to it. Similarly, accounts of collective epistemic responsibility have addressed the issue of collective belief formation and associated actions. However, there has been little discussion of collective responsibility for preventing epistemic harms, particularly those preventable only by the collective action of an unorganized group. We propose an account of collective epistemic responsibility which fills this gap. Building on Hindriks' (2019) account of collective moral responsibility, we introduce the Epistemic (...) Duty to Join Forces. Our theory provides an account of the responsibilities of scientists to prevent epistemic harms during inquiry. (shrink)

Progress may be made in resolving the tension between free will and determinism by analysis of the necessary conditions of freedom. It is of the essence that these conditions include causal and deterministic regularities. Furthermore, the human expression of free will is informed by understanding some of those regularities, and increments in that understanding have served to enhance freedom. When the possible character of a deterministic system based on physical theory is considered, it is judged that, far from implying the (...) elimination of human freedom, such a theory might simply set parameters for it; indeed knowledge of that system could again prove to be in some respects liberating. On the other hand, it is of the essence that the overarching biological framework is not a deterministic system and it foregrounds the behavioural flexibility of humans in being able to choose within a range of options and react to chance occurrences. Furthermore, an issue for determinism flows from the way in which randomness (e.g. using a true random number generator) and chance events could and do enter human life. Once the implications of that issue are fully understood, other elements fit comfortably together in our understanding of freely undertaken action: the contribution of reasons and causes; the fact that reasons are never sufficient to account for outcomes; the rationale for the attribution of praise and blame. (shrink)

Many philosophers are baffled by necessity. Humeans, in particular, are deeply disturbed by the idea of necessary laws of nature. In this paper I offer a systematic yet down to earth explanation of necessity and laws in terms of invariance. The type of invariance I employ for this purpose generalizes an invariance used in meta-logic. The main idea is that properties and relations in general have certain degrees of invariance, and some properties/relations have a stronger degree of invariance than others. (...) The degrees of invariance of highly-invariant properties are associated with high degrees of necessity of laws governing/describing these properties, and this explains the necessity of such laws both in logic and in science. This non-mysterious explanation has rich ramifications for both fields, including the formality of logic and mathematics, the apparent conflict between the contingency of science and the necessity of its laws, the difference between logical-mathematical, physical, and biological laws/principles, the abstract character of laws, the applicability of logic and mathematics to science, scientific realism, and logical-mathematical realism. (shrink)

Unsere These lautet, dass die Geschichte des logischen Empirismus bisher nicht in ihrer ganzen Komplexität dargestellt wurde. Es herrscht das Bild vor, dass vor allem der Wiener Kreis die wissenschaftliche Philosophie seiner Zeit dominiert habe. In Wirklichkeit waren Hans Reichenbach und die Philosophen und Wissenschaftler in seiner Gruppe mehr als nur geistige Verwandte der Wiener logischen Empiristen. Die Berliner Gruppe war ein gleichberechtigter Partner bei der Verbreitung wissenschaftlicher Philosophie im deutschsprachigen Raum um 1930 und schlug dabei durchaus einen individuellen Weg (...) ein. Reichenbach hat daher auch ausdrücklich die Eigenständigkeit der Berliner Gruppe innerhalb des logischen Empirismus verteidigt (Hoffmann 1994, 26). Dabei kämpfte er nicht einfach für Gleichberechtigung mit dem Wiener Kreis. Reichenbach beanspruchte sogar die Priorität der Initiative. (shrink)

The homeostatic property cluster theory is widely influential for its ability to account for many natural-kind terms in the life sciences. However, the notion of homeostatic mechanism has never been fully explicated. In 2009, Carl Craver interpreted the notion in the sense articulated in discussions on mechanistic explanation and pointed out that the HPC account equipped with such notion invites interest-relativity. In this paper, we analyze two recent refinements on HPC: one that avoids any reference to the causes of the (...) clustering of properties and one that replaces homeostatic mechanisms with causal networks represented by causal graphs. We argue that the former is too slender to account for some inductive inference in science and the latter, thicker account invites interest-relativity, as the original HPC does. This suggests that human interest will be an un-eliminative part of a satisfactory account of natural kindness. We conclude by discussing the implication of interest-relativity to the naturalness, reality, or objectivity of kinds and indicating an overlooked aspect of natural kinds that requires further studies. (shrink)

A small consortium of philosophers has begun work on the implications of epistemic networks (Zollman 2008 and forthcoming; Grim 2006, 2007; Weisberg and Muldoon forthcoming), building on theoretical work in economics, computer science, and engineering (Bala and Goyal 1998, Kleinberg 2001; Amaral et. al., 2004) and on some experimental work in social psychology (Mason, Jones, and Goldstone, 2008). This paper outlines core philosophical results and extends those results to the specific question of thresholds. Epistemic maximization of certain types does show (...) clear threshold effects. Intriguingly, however, those effects appear to be importantly independent from more familiar threshold effects in networks. (shrink)

A common objection to a pragmatist perspective on scientific expertise is that, while there is a well-known pragmatist theory of inquiry, which was formulated first by Peirce, then refined by Dewey and others, this theory cannot provide a clear-cut account of scientific expertise. In this paper, after addressing this objection in the second section, I claim that, on the contrary, pragmatism offers robust tools to think scientific expertise. In Sections 3 to 7, I present five important insights that one can (...) derive from a pragmatist epistemology when responding to contemporary problems posed by expertise: about science and scientific expertise in a legal context (sections 3 and 4), about collective expertise (sections 5 and 6), and even about expertise on ignorance (section 7). (shrink)

Comprehensive when it was published in 1990, this guide brought together information on the broad spectrum of education and research opportunities then available in the sciences of complexity. Its purpose was to make these kinds of investigations more accessible by providing information on programs, institutions, organizations, and literature where one can learn about their principles, methods, and applications. The guide was intended to help interested students and educators locate the various academic fields, departments, institutes, and programs that offer education in (...) systems thinking and complex systems research. The guide also served professionals who are already involved in the systems sciences as a directory to general activity in what are otherwise widely separate fields. By browsing the guide one can get a snapshot of where education and research in systems science was happening at the time in both North America and Europe. The landscape has since massively changed so its value is mostly historical. (shrink)

Quantum mechanics was reformulated as an information theory involving a generalized kind of information, namely quantum information, in the end of the last century. Quantum mechanics is the most fundamental physical theory referring to all claiming to be physical. Any physical entity turns out to be quantum information in the final analysis. A quantum bit is the unit of quantum information, and it is a generalization of the unit of classical information, a bit, as well as the quantum information itself (...) is a generalization of classical information. Classical information refers to finite series or sets while quantum information, to infinite ones. Quantum information as well as classical information is a dimensionless quantity. Quantum information can be considered as a “bridge” between the mathematical and physical. The standard and common scientific epistemology grants the gap between the mathematical models and physical reality. The conception of truth as adequacy is what is able to transfer “over” that gap. One should explain how quantum information being a continuous transition between the physical and mathematical may refer to truth as adequacy and thus to the usual scientific epistemology and methodology. If it is the overall substance of anything claiming to be physical, one can question how different and dimensional physical quantities appear. Quantum information can be discussed as the counterpart of action. Quantum information is what is conserved, action is what is changed in virtue of the fundamental theorems of Emmy Noether (1918). The gap between mathematical models and physical reality, needing truth as adequacy to be overcome, is substituted by the openness of choice. That openness in turn can be interpreted as the openness of the present as a different concept of truth recollecting Heidegger’s one as “unconcealment” (ἀλήθεια). Quantum information as what is conserved can be thought as the conservation of that openness. (shrink)

I argue that Kant has developed a broad systematic account of the architectonic functionality of pure reason that can be used and advanced in contemporary contexts. Reason, in the narrow sense, is responsible for the picture of a well-ordered universe of science consisting of architectonic ideas of science, sciences and parts of sciences. In the first section (I), I show what Kant means by the architectonic ideas by explaining and interrelating the concepts of (a) the faculty of reason, (b) ideas (...) (as principles), (c) method, and (d) sciences of reason. Thereafter (II), I think through his holistic understanding of science and scientific progress and suggest differentiating between four levels of use of architectonic ideas, drawing on the metaphor of a well-structured universe as imagined by Kant in his work on the Universal Natural History and Theory of the Heavens. I also claim that each possible idea of reason can be (apart from its primary function) additionally regarded as a fourth-level architectonic concept when explicitly conceived as an object of (e. g. philosophical) studies, i. e. from a mere methodological perspective. In the final section (III), I unveil the potential of Kant’s theory by pointing out how this architectonic methodological function of pure reason is tacitly used in Karl-Otto Apel’s contemporary philosophical research programme. You can get the official version of the paper and the whole issue (open access) by clicking on the attached link. (shrink)

This is the introduction of issue 1 of Mɛtascience. -/- This first issue of Mεtascience is a posthumous tribute to Mario Bunge, who died in February 2020. This is not the first time, and certainly not the last, that thinkers pay homage to Mario Bunge or that his work is the subject of study, and rightly so, because the man is a humanist and the work worthy heiress of the Enlightenment. Bunge has made a significant contribution to a wide range (...) of disciplines: physics, philosophy, sociology, psychology, cognitive sciences. This issue is also a way to make his thoughts known to a French-speaking readership. (shrink)

The aim of this chapter is to show how Francophone PS, or what is called French (historical) epistemology, embodies this interconnectedness. Moreover, a novel approach to what constitutes French epistemology will be developed here, going beyond a purely historical survey or a reevaluation of a range of concepts found in this tradition.7 The aim is instead to highlight two methodological principles at work in French epistemology that are often in tension with one another, but are not recognized as such in (...) the literature. (shrink)

Одной из особенностей прагматизма является, как известно, трактовка познания, свободная от апелляции к корреспондентной теории истины и постулирования независимой (от человека) реальности. Все прагматисты, к каким бы воззрениям по частным вопросам они ни склонялись, придерживаются операциональной концепции познания. Согласно этой концепции, достаточным основанием знания является его применимость на практике. Данный аспект неоднократно затрагивался в ходе дискуссий о сходствах и различиях марксизма и прагматизма. Несмотря на существенное расхождение между прагматизмом и марксизмом в понимании природы знания, многие исследователи пытались провести параллели между (...) этими двумя интеллектуальными традициями. В частности, Бертран Рассел указывал на близость философии Дьюи «доктрине другого экс-гегельянца, Карла Маркса, как она была сформулирована в его “Тезисах о Фейербахе”». По мнению Рассела, если не придавать слишком большого значения терминологическим нюансам, Марксова теория деятельности, или праксиса, в главных моментах «едва отличима от инструментализма». Этот взгляд получил распространение даже среди прагматистов, а также американских марксистов (точнее, троцкистов), которые в конце 40-х годов прошлого века трактовали прагматизм Дьюи как прямое продолжение и развитие марксизма. Дж. Новак, к примеру, утверждал, что «самым выдающимся современным мыслителем, впитавшим в себя все лучшее, что было у Маркса, является Дьюи». В. Ленина — как практика, а не теоретика — Новак считал, в свою очередь, «скрытым последователем» Дьюи. Согласно бывшему марксисту С. Хуку, прагматизм — это философия «экспериментального натурализма», т. е. теория, «развивающая наиболее здравые и продуктивные идеи Маркса о мире». В статье (с опорой главным образом на аргументацию советских марксистов) критически пересматривается философский диалог между марксизмом и прагматизмом. Основное внимание уделяется понятию деятельности, или праксиса, а также взаимосвязи субъекта и объекта в познании. // It is well-known that pragmatism advocates an approach on cognition without appealing to man-independent reality and truth as correspondence with reality. Instead, pragmatists, notwithstanding the diversity of their particular views, hold an operational conception of knowledge, according to which all that is needed is knowledge to have a suitable kind of correspondence with practice. This point has been scrutinized in the long standing discussion about the convergences and deviations between Marxism and pragmatism. The profound divergence between Marxism and pragmatism with regard to the aforementioned issues was not enough to prevent philosophers from attempting to trace affinities between these two distinct intellectual trends. For example, Bertrand Russell pointed out the “close similarity” of Dewey’s doctrine to “that of another exHegelian, Karl Marx, as it is delineated in his Theses on Feuerbach.” Russell thinks that Marx’s concept of activity or praxis is in spite of differences in terminology “essentially indistinguishable from instrumentalism.” This line of reasoning seems to be quite influential, even among pragmatists. Notably, some American Marxists (especially Trotskyists, to be exact) at the late 40’s overemphasized the affinity between Dewey’s pragmatism and Marxism, and even understood Dewey’s pragmatism as a continuation of Marxism. For example, G. Novack comments that “[t]he most outstanding figure in the world today in whom the best elements of Marx’s thought are present is John Dewey,” and presents Lenin as “an unavowed disciple of Dewey in practice.” According to S. Hook, a former Marxist who turned to pragmatism and became one of the most influential philosophers who discussed the relation between Marxism and pragmatism, the latter is “the philosophy of experimental naturalism” which can be regarded “as a continuation of what is soundest and most fruitful in Marx’s philosophical outlook upon the world.” In this paper, I intend to critically reassess this philosophical dialogue between Marxism and pragmatism, by further deploying the argumentation provided mainly by Soviet Marxists with regard to the aforementioned issues, focusing especially on two of them: the concept of activity (or praxis) and the interrelation of subject and object in cognition. (shrink)

After Parmenides proposed the duality of appearance and reality, details have not been well developed because the assumption was insufficient for logical reasoning. This paper establishes a foundation with an isolated system, which contains all causes and effects within itself. This paper seeks to establish a purely logical philosophy, including reality and phenomena, good and evil, truth and fallacy. Freedom is proposed as the basis for reality. All beings in an isolated system can be classified into two sets: variable phenomena (...) and constant realities. Realities are the only reasons for phenomena, and phenomena are the only results of realities. The sum of certain realities constitutes a reality, and the sum of all realities is good. Good creates most of the phenomenal world. A reality is universalizable; a phenomenon is never universalizable. Good is the only reality which is close to universality and keeps on universalizing. Truth is the simplest knowledge about universal or approximately universal beings. The universality of a reality measures the percentage of phenomena accompanied by this reality. There are two levels of truth: truth about all realities, and truth about the good. (shrink)

Experience, it is widely agreed, constrains our thinking and is also thoroughly theory-laden. But how can it constrain our thinking while depending on what it purports to constrain? To address this issue, I revisit and carefully analyze the account of observation provided by Norwood Russell Hanson, who introduced the term ‘theory-ladenness of observation’ in the first place. I show that Hanson’s account provides an original and coherent response to the initial question and argue that, if suitably developed, his account provides (...) a distinctive, powerful, and attractive alternative to relationalist and standard representationalist conceptions of experience. (shrink)

The epistemic account and the noetic account hold that the essence of scientific progress is the increase in knowledge and understanding, respectively. Dellsén (2018) criticizes the epistemic account (Park, 2017a) and defends the noetic account (Dellsén, 2016). I argue that Dellsén’s criticisms against the epistemic account fail, and that his notion of understanding, which he claims requires neither belief nor justification, cannot explain scientific progress, although it can explain fictional progress in science-fiction.