An increasing number of moral realists and anti-realists have recently attempted to support their views by appeal to science. Arguments of this kind are typically criticized on the object-level. In addition, however, one occasionally also comes across a more sweeping metatheoretical skepticism. Scientific contributions to the question of the existence of objective moral truths, it is claimed, are impossible in principle; most prominently, because such arguments impermissibly derive normative from descriptive propositions, such arguments beg the question against non-naturalist moral (...) realism, science cannot inform conceptual accounts of moral judgements, and the conceptual is logically prior to the empirical. My main aim in this paper is to clarify and critically assess these four objections. Moreover, based on this assessment, I will formulate four general requirements that science-based arguments in favor of moral realism and anti-realism should meet. It will turn out that these arguments are limited in several ways, and that some existing arguments have been unsound. Yet it is still possible in principle for the empirical sciences to contribute to the moral realism/anti-realism debate. (shrink)

K. R. Popper distinguished between two main uses of logic, the demonstrational one, in mathematical proofs, and the derivational one, in the empirical sciences. These two uses are governed by the following methodological constraints: in mathematical proofs one ought to use minimal logical means (logical minimalism), while in the empirical sciences one ought to use the strongest available logic (logical maximalism). In this paper I discuss whether Popper’s critical rationalism is compatible with a revision of logic in the (...) empirical sciences, given the condition of logical maximalism. Apparently, if one ought to use the strongest logic in the empirical sciences, logic would remain immune to criticism and, thus, non-revisable. I will show that critical rationalism is theoretically compatible with a revision of logic in the empirical sciences. However, a question that remains to be clarified by the critical rationalists is what kind of evidence would lead them to revise the system of logic that underlies a physical theory, such as quantum mechanics? Popper’s falsificationist methodology will be compared with the recently advocated extension of the abductive methodology from the empirical sciences to logic by T. Williamson, since both of them arrive at the same conclusion concerning the status of classical logic. (shrink)

This paper deals with a relatively recent trend in the history of analytic philosophy, philosophical logic, and theory of science: the philosophical study of the role of inconsistency in empirical science. This paper is divided in three sections that correspond to the three types of inconsistencies identified: (i) factual, occurring between theory and observations, (ii) external, occurring between two mutually contradictory theories, and (iii) internal, characterising theories that entail mutually contradictory statements.

Although few linguists currently embrace the empirical paradigm, there are increasing calls for the development of tools for studying language that resemble those in exact sciences. This trend can be observed even in top mainstream linguistic journals, such as the Journal of Pragmatics, as exemplified by Xiang (2017). Today, however, linguists who adapt the methodologies from more advanced sciences face isolation from the mainstream linguistic community. This is because the majority of linguists in philological and philosophical departments remain convinced (...) that the object of their studies is fundamentally different from those studied by physicists. Therefore, they argue that linguistic methodology cannot resemble that used in empirical sciences. As a result, linguistics is often seen as requiring interpretation rather than an explanation, and evaluation of linguistic research is based on acceptance within the scholarly community rather than empirical testing. (shrink)

Mathematics is often taken to play one of two roles in the empirical sciences: either it represents empirical phenomena or it explains these phenomena by imposing constraints on them. This article identifies a third and distinct role that has not been fully appreciated in the literature on applicability of mathematics and may be pervasive in scientific practice. I call this the “bridging” role of mathematics, according to which mathematics acts as a connecting scheme in our explanatory reasoning about (...) why and how two different descriptions of an empirical phenomenon relate to each other. I discuss two bridging roles appearing in biological and physical explanations. (shrink)

The fact that philosophy has not made much progress in finding answers to its big questions is often demonstrated with a comparison to natural sciences. Some have recently argued that the state of progress in philosophy is not so different than the sciences: there are many unresolved big questions in the sciences too, and philosophy has made progress on its smaller questions just like the sciences. I argue that this comparison is misleading: the situation in the two fields looks similar (...) only if we focus on unresolved scientific questions that have philosophical import. The sciences have made progress on many questions that are significant but that are not ‘big’ in a philosophical sense, while philosophy has made less progress on its own significant questions. Moreover, ‘smaller’ questions in the sciences are significant in themselves, while smaller questions in philosophy do not have much significance beyond their contribution to the bigger debates. I conclude with brief remarks about what underlies the disparity between the two fields: to understand the slow pace of progress in philosophy we should pay attention to factors that are at the intersection of the nature of philosophical questions, current philosophical methodology and the sociology of academic philosophy. (shrink)

Neo-Aristotelian metaethical naturalism is a modern attempt at naturalizing ethics using ideas from Aristotle’s teleological metaphysics. Proponents of this view argue that moral virtue in human beings is an instance of natural goodness, a kind of goodness supposedly also found in the realm of non-human living things. Many critics question whether neo-Aristotelian naturalism is tenable in light of modern evolutionary biology. Two influential lines of objection have appealed to an evolutionary understanding of human nature and natural teleology to argue against (...) this view. In this paper, I offer a reconstruction of these two seemingly different lines of objection as raising instances of the same dilemma, giving neo-Aristotelians a choice between contradicting our considered moral judgment and abandoning metaethical naturalism. I argue that resolving the dilemma requires showing a particular kind of continuity between the norms of moral virtue and norms that are necessary for understanding non-human living things. I also argue that in order to show such a continuity, neo-Aristotelians need to revise the relationship they adopt with empirical science and acknowledge that the latter is relevant to assessing their central commitments regarding living things. Finally, I argue that to move this debate forward, both neo-Aristotelians and their critics should pay attention to recent work on the concept of organism in evolutionary and developmental biology. (shrink)

When empirical psychology mostly focuses on physiological processes and external behavior that have their own concepts, the meaning of psychological concepts becomes obscure. If there are only physical processes and external behavior, then why are psychological concepts needed in the empirical sciences? Since the late 19th century, empirical psychologists and cognitive scientists have argued that introspective information about normal psychological processes is not reliable. Furthermore, many philosophers consider that the physicalist theory of mind is true, which would (...) imply that psychological concepts are only words without explanatory power. However, without introspection, we would not be able to form concepts about other minds and psychological phenomena and understand the psychological states of other people or animals. The meaning of a psychological concept is neither its use for external behavior nor language use in context. (shrink)

Empirical philosophers of science aim to base their philosophical theories on observations of scientific practice. But since there is far too much science to observe it all, how can we form and test hypotheses about science that are sufficiently rigorous and broad in scope, while avoiding the pitfalls of bias and subjectivity in our methods? Part of the answer, we claim, lies in the computational tools of the digital humanities, which allow us to analyze large volumes (...) of scientific literature. Here we advocate for the use of these methods by addressing a number of large-scale, justificatory concerns—specifically, about the epistemic value of journal articles as evidence for what happens elsewhere in science, and about the ability of DH tools to extract this evidence. Far from ignoring the gap between scientific literature and the rest of scientific practice, effective use of DH tools requires critical reflection about these relationships. (shrink)

Robert Henman’s article, Can brain scanning and imaging techniques contribute to a theory of thinking? came to my attention recently. My own work over the years has included applications of mathematics in the biological sciences, collaboration in experimental work in biochemistry, as well as work in the philosophy of the biological sciences. Henman suggests something that, at present, would be out of the ordinary.

The Système de philosophie by Pierre Sylvain Régis can be considered as the achievement both of the scientific liveliness of the Académie des Sciences in the 17th century and of its fruitful relationship with the Royal Society. Since it aims to shape the new conception of the universe in terms of a system, the Système represents one of the most mature achievements of Cartesian philosophy and it is characterized by an empirical interpretation of Descartes’ thought. The Système therefore reflects (...) two important phenomena occurring in the Europe of the 17th century: the scientific revolution and the proliferation of Academies. In fact, this ambitious work could be undertaken with the support of the Académie des Sciences and the Journal des Sçavants. My paper will analyse the French context by focusing to outline the role which the Académie de France had both in France, as the medium of dissemination of the new philosophy despite censorship, and abroad, in particular through the relationship with the Royal Society in England. I aim to analyse the role of the Journal des Sçavants as a means to share ideas other than by correspondence and as a trait d’union between “rationalist France” and “empiricist England”. I intend to question whether it is possible to establish a connection between the empirical interpretation of French Cartesianism, the consolidation of the Académie de France and the employment of new means of academic communication. The paper will show that the second half of 17th century France represents a remarkable exception to the conventional picture, which states that in 17th century Europe, following the success of a mechanistic interpretation of reality, two philosophical school clashed: rationalism, predominating on the continent, and empiricism, in England. (shrink)

In assessing the appropriateness of a scientific community's research effort, Solomon considers a number of "decision vectors," divided into the empirical and non-empirical. Value judgments get sorted as non-empirical vectors. By way of contrast, I introduce Anderson's discussion of the evidential role of value judgments. Like Anderson, I argue that value judgments are empirical in the relevant sense. I argue further that Solomon's decision matrix needs to be reconceptualized: the distinction should not be between the (...) class='Hi'>empirical vs. non-empirical, but between the relevant vs. irrelevant. Whether particular value judgments are relevant or not is an empirical question, to be decided on a case-by-case basis. (shrink)

Social science is often described as a product of 19th century Europe, and as a handmaiden to its imperial and colonial projects. However, centuries prior to the Western social science enterprise, Islamic imperial scholars developed their own ‘science of society.’ This essay provides an overview of the historical and cultural milieu in which 'Islamic' social science was born, and then charts its development over time through case studies of four seminal scholars -- al-Razi, al-Farabi, al-Biruni and (...) Ibn Khaldun -- who played pivotal roles in establishing fields that could be roughly translated as psychology, political science, anthropology and sociology. The axioms undergirding Islamic social science are subsequently explored, with particular emphasis paid to the relations between said axioms and the discursive tradition, 'Islam.' The essay concludes with an exploration of how looking to social science enterprises beyond the ‘modern’ West can clarify the purported relationships between social science and empire. (shrink)

There is an ongoing methodological debate in philosophy of science concerning the use of case studies as evidence for and/or against theories about science. In this paper, I aim to make a contribution to this debate by taking an empirical approach. I present the results of a systematic survey of the PhilSci-Archive, which suggest that a sizeable proportion of papers in philosophy of science contain appeals to case studies, as indicated by the occurrence of the indicator (...) words “case study” and/or “case studies.” These results are confirmed by data mined from the JSTOR database on research articles published in leading journals in the field: Philosophy of Science, the British Journal for the Philosophy of Science (BJPS), and the Journal for General Philosophy of Science (JGPS), as well as the Proceedings of the Biennial Meeting of the Philosophy of Science Association (PSA). The data also show upward trends in appeals to case studies in articles published in Philosophy of Science, the BJPS, and the JGPS. The empirical work I have done for this paper provides philosophers of science who are wary of the use of case studies as evidence for and/or against theories about science with a way to do philosophy of science that is informed by data rather than case studies. (shrink)

This chapter analyzes the relation between brain sciences and philosophy of mind, in order to clarify in what ways philosophy can contribute to neuroscience and neuroscience can contribute to philosophy. Especially since the 1980s and the emergence of “neurophilosophy”, more and more philosophers have been bringing home morals from neuroscience to settle philosophical issues. I mention examples from the problem of consciousness, philosophy of perception and the problem of free will, and I argue that such attempts are not successful in (...) trying to settle questions like whether psychology can be reduced to neuroscience, whether we see the external world directly in perception, or whether we have free will. The failure results from an ability of the philosophical questions to evade the data. What makes these questions persisting philosophical questions is precisely that there is no way to settle them through empirical evidence, as they are conceptual questions and their solution lies in conceptual analysis. (shrink)

In Chapter I, I discuss Buchdahl’s view that the possibility of empirical lawlikeness could not have been established in the Principles of the Critique given the differences between transcendental, metaphysical and empirical lawlikeness, and the connection between the faculty of Reason and empirical lawlikeness. I then discuss the general conditions for empirical hypotheses according to Kant, which include the justification of the method by which an empirical hypothesis is obtained and the establishment of the general (...) and specific constructability of the empirical concept. -/- *In Chapter II, I discuss the nature of the general construction of concepts which is treated in the Schematism of the Critique, surveying the views of Pippin, Allison, Bennett and Butts in an effort both to make sense of a difficult part of the Critique and to demonstrate that the Schematism is indeed where Kant demonstrates how the construction of empirical concepts in general is possible. -/- *In Chapter III, I discuss Brittan’s and Butts’ views on the nature of the specific construction of empirical concepts, defending Butts’ interpretation as compatible with Buchdahl’s view that gaps exist between kinds of lawlikeness for Kant and, because of its connection with an interpretation of how metaphysical lawlikeness figures in the Metaphysical Foundations of Natural Science, insofar as it helps us to establish the possibility of empirical lawlikeness and natural science. (shrink)

In the well-known intentionality quote of his Psychology from an Empirical Standpoint, Brentano characterises the mental phenomena through the following features: (i) the intentional inexistence of an object, (ii) the relation to a content, and (iii) the direction toward an object. The text argues that this characterisation is not general because the direction toward an object does not apply to the mental phenomena of sensation. The second part of the paper analyses the consequences that ensue from here for the (...) Brentanian classification of mental phenomena: in Brentano’s psychology one can distinguish two concepts of mental phenomena − the mental phenomenon in a broad sense and the mental phenomenon in a narrow sense; the former concept allows the separation of the mental from the physical, while the narrow concept allows the distinguishing of the main classes of mental phenomena. The third part of the paper shows that, with respect to sensation, the absence of a direction toward an object is compatible with both Brentano’s early taxonomies of philosophical sciences, and his early program for the establishment of a new, empirical and non-speculative philosophy. For this reason, I hold that intentionality is important for the foundation of both psychology, and empirical philosophy. (shrink)

We report the results of a study that investigated the views of researchers working in seven scientific disciplines and in history and philosophy of science in regard to four hypothesized dimensions of scientific realism. Among other things, we found that natural scientists tended to express more strongly realist views than social scientists, that history and philosophy of science scholars tended to express more antirealist views than natural scientists, that van Fraassen’s characterization of scientific realism failed to cluster with (...) more standard characterizations, and that those who endorsed the pessimistic induction were no more or less likely to endorse antirealism. (shrink)

Embedding ethics modules within computer science courses has become a popular response to the growing recognition that CS programs need to better equip their students to navigate the ethical dimensions of computing technologies like AI, machine learning, and big data analytics. However, the popularity of this approach has outpaced the evidence of its positive outcomes. To help close that gap, this empirical study reports positive results from Northeastern’s program that embeds values analysis modules into CS courses. The resulting (...) data suggest that such modules have a positive effect on students’ moral attitudes and that students leave the modules believing they are more prepared to navigate the ethical dimensions they’ll likely face in their eventual careers. Importantly, these gains were accomplished at an institution without a philosophy doctoral program, suggesting this strategy can be effectively employed by a wider range of institutions than many have thought. (shrink)

In recent years, the emergence of a new trend in contemporary philosophy has been observed in the increasing usage of empirical research methods to conduct philosophical inquiries. Although philosophers primarily use secondary data from other disciplines or apply quantitative methods (experiments, surveys, etc.), the rise of qualitative methods (e.g., in-depth interviews, participant observations and qualitative text analysis) can also be observed. In this paper, I focus on how qualitative research methods can be applied within philosophy of science, namely (...) within the philosophical debate on modeling. Specifically, I review my empirical investigations into the issues of model de-idealization, model justification and performativity. (shrink)

Conceptual analyses can be subdivided into two classes, good and evil. Em- pirical analysis is the good kind, routinely practiced in the sciences. Orthodox analysis is the malevolent version that plagues philosophical discourse. In this paper, I will clarify the difference between them, provide some reasons to prefer good over evil, and illustrate their consequences for the metaphysics of causation. By conducting an empirical analysis of causation rather than an orthodox analysis, one can segregate the genuine metaphysical problems that (...) need to be addressed from the many pseudo-problems that have long dogged traditional accounts of causation. (shrink)

The classical theory of computation does not represent an adequate model of reality for simulation in the social sciences. The aim of this paper is to construct a methodological perspective that is able to conciliate the formal and empirical logic of program verification in computer science, with the interpretative and multiparadigmatic logic of the social sciences. We attempt to evaluate whether social simulation implies an additional perspective about the way one can understand the concepts of program and computation. (...) We demonstrate that the logic of social simulation implies at least two distinct types of program verifications that reflect an epistemological distinction in the kind of knowledge one can have about programs. Computer programs seem to possess a causal capability (Fetzer, 1999) and an intentional capability that scientific theories seem not to possess. This distinction is associated with two types of program verification, which we call empirical and intentional verification. We demonstrate, by this means, that computational phenomena are also intentional phenomena, and that such is particularly manifest in agent-based social simulation. Ascertaining the credibility of results in social simulation requires a focus on the identification of a new category of knowledge we can have about computer programs. This knowledge should be considered an outcome of an experimental exercise, albeit not empirical, acquired within a context of limited consensus. The perspective of intentional computation seems to be the only one possible to reflect the multiparadigmatic character of social science in terms of agent-based computational social science. We contribute, additionally, to the clarification of several questions that are found in the methodological perspectives of the discipline, such as the computational nature, the logic of program scalability, and the multiparadigmatic character of agent-based simulation in the social sciences. (shrink)

The aim of this paper is to contribute to the debate over the nature of scientific progress in philosophy of science by taking a quantitative, corpus-based approach. By employing the methods of data science and corpus linguistics, the following philosophical accounts of scientific progress are tested empirically: the semantic account of scientific progress, the epistemic account of scientific progress, and the noetic account of scientific progress. Overall, the results of this quantitative, corpus-based study lend some empirical support (...) to the epistemic and the noetic accounts over the semantic account of scientific progress, for they suggest that practicing scientists use the terms ‘knowledge’ and ‘understanding’ significantly more often than the term ‘truth’ when they talk about the aims or goals of scientific research in their published works. But the results do not favor the epistemic account over the noetic account, or vice versa, for they reveal no significant differences between the frequency with which practicing scientists use the terms ‘knowledge’ and ‘understanding’ when they talk about the aims or goals of scientific research in their published works. (shrink)

This article explores some open questions related to the problem of verification of theories in the context of empirical sciences by contrasting three epistemological frameworks. Each of these epistemological frameworks is based on a corresponding central metaphor, namely: (a) Neo-empiricism and the gambling metaphor; (b) Popperian falsificationism and the scientific tribunal metaphor; (c) Cognitive constructivism and the object as eigen-solution metaphor. Each of one of these epistemological frameworks has also historically co-evolved with a certain statistical theory and method for (...) testing scientific hypotheses, respectively: (a) Decision theoretic Bayesian statistics and Bayes factors; (b) Frequentist statistics and p-values; (c) Constructive Bayesian statistics and e-values. This article examines with special care the Zero Probability Paradox (ZPP), related to the verification of sharp or precise hypotheses. Finally, this article makes some remarks on Lakatos’ view of mathematics as a quasi-empirical science. (shrink)

Eliminative reasoning is a method that has been employed in many significant episodes in the history of science. It has also been advocated by some philosophers as an important means for justifying well-established scientific theories. Arguments for how eliminative reasoning is able to do so, however, have generally relied on a too narrow conception of evidence, and have therefore tended to lapse into merely heuristic or pragmatic justifications for their conclusions. This paper shows how a broader conception of evidence (...) not only can supply the needed justification but also illuminates the methodological significance of eliminative reasoning in a variety of contexts. (shrink)

In medical ethics, business ethics, and some branches of political philosophy (multi-culturalism, issues of just allocation, and equitable distribution) the literature increasingly combines insights from ethics and the social sciences. Some authors in medical ethics even speak of a new phase in the history of ethics, hailing "empirical ethics" as a logical next step in the development of practical ethics after the turn to "applied ethics." The name empirical ethics is ill-chosen because of its associations with "descriptive ethics." (...) Unlike descriptive ethics, however, empirical ethics aims to be both descriptive and normative. The first question on which I focus is what kind of empirical research is used by empirical ethics and for which purposes. I argue that the ultimate aim of all empirical ethics is to improve the context-sensitivity of ethics. The second question is whether empirical ethics is essentially connected with specific positions in meta-ethics. I show that in some kinds of meta-ethical theories, which I categorize as broad contextualist theories, there is an intrinsic need for connecting normative ethics with empirical social research. But context-sensitivity is a goal that can be aimed for from any meta-ethical position. (shrink)

Those sympathetic to the naturalistic side of James hope that his critique of ‘philosophical materialism’ can be separated from those elements of his thinking that are essential to his pragmatism. Such a separation is possible once we see that James’s critique of materialism grows out of his views about its incompatibility with the existence of objective values. Objective values (as James understands them) are incompatible, however, not with materialism in its most general form, but rather with materialism that understood the (...) ‘material world’ in terms of the sciences of the late nineteen hundreds. In particular, one could not defend the potential objectivity of value in the way that James hoped if one endorsed the particular ‘pessimistic’ cosmology characteristic of the sciences at the turn of the last century. Consequently, if one rejects certain ‘empirical assumptions’ associated with the science of James’s day, the possibility of a type of ‘melioristic materialism’ opens up, and this sort of materialist could still understand value in the way that James proposes. (shrink)

Two questions often shape our view of the world. On the one hand, we ask what there is, on the other hand, we ask what there ought to be. Empirical research and normative theory, the methodological traditions concerned with these questions, entered a difficult relationship, from at least as early as around the time of the advent of modern sciences. To this day, there remains a strong separation between the two domains, with both tending to neglect discourses and results (...) from the other. Contrary to a verdict of strict segregation between »is« and »ought«, there are, nowadays, various attempts to integrate both theoretical approaches. This calls for a newly intensified discourse on the relation between empirical research and normative theory. In this volume, scholars from different disciplines – including psychology, sociology, economics, and philosophy – discuss possible desired or undesired influences on, and limits of, the integration of these two approaches. (shrink)

This chapter examines the influence of the empirical sciences (e.g., physics, biology, psychology) in contemporary analytic philosophy, with focus on philosophical theories that are guided by findings from the empirical sciences. Scientific approaches to philosophy follow a tradition of philosophical naturalism associated with Quine, which strives to ally philosophical methods and theories more closely with the empirical sciences and away from a priori theorizing and conceptual analysis.

The empirical study of belief is emerging at a rapid clip, uniting work from all corners of cognitive science. Reliance on belief in understanding and predicting behavior is widespread. Examples can be found, inter alia, in the placebo, attribution theory, theory of mind, and comparative psychological literatures. Research on belief also provides evidence for robust generalizations, including about how we fix, store, and change our beliefs. Evidence supports the existence of a Spinozan system of belief fixation: one that (...) is automatic and independent of belief rejection. Independent research supports the existence of a system of fragmented belief storage: one that relies on large numbers of causally isolated, context-sensitive stores of belief in memory. Finally, empirical and observational data support at least two systems of belief change. One system adheres, mostly, to epistemological norms of updating; the other, the psychological immune system, functions to guard our most centrally held beliefs from potential inconsistency with newly formed beliefs. Refining our under- standing of these systems can shed light on pressing real-world issues, such as how fake news, propaganda, and brainwashing exploit our psychology of belief, and how best to construct our modern informational world. (shrink)

Roughly, empirical AI alignment research (AIA) is an area of AI research which investigates empirically how to design AI systems in line with human goals. This paper examines the role of non-epistemic values in AIA. It argues that: (1) Sciences differ in the degree to which values influence them. (2) AIA is strongly value-laden. (3) This influence of values is managed inappropriately and thus threatens AIA’s epistemic integrity and ethical beneficence. (4) AIA should strive to achieve value transparency, critical (...) scrutiny from inside and outside the discipline – involving the public –, and to empower actors without strong commercial interests. (shrink)

A recurring theme dominates recent philosophical debates about the nature of conscious perception: naïve realism’s opponents claim that the view is directly contradicted by empirical science. I argue that, despite their current popularity, empirical arguments against naïve realism are fundamentally flawed. The non-empirical premises needed to get from empirical scientific findings to substantive philosophical conclusions are ones the naïve realist is known to reject. Even granting the contentious premises, the empirical findings do not undermine (...) the theory, given its overall philosophical commitments. Thus, contemporary empirical research fails to supply any new argumentative force against naïve realism. I conclude that, as philosophers of mind, we would be better served spending a bit less time trying to wield empirical science as a cudgel against our opponents, and a bit more time working through the implications of each other’s views – something we can accomplish perfectly well from the comfort of our armchairs. (shrink)

Authors' affiliation: Centre Emile Bernheim, Solvay Brussels School of Economics & Management, Université Libre de Bruxelles; 50 Avenue Franklin D. Roosevelt, B-1050, Bruxelles, Belgium. ... Journal: Economic Studies, Volume 44, Number 9, Serial Number 316. ... Publisher: Vietnamese Academy of Social Sciences – Vietnam Institute of Economics. ... Suggested citation: Farber, A. & Vuong, QH (2004) “New empirical results on anomalies and herd behaviors: Vietnam stock market 2000-2004,” Economic Studies.

In responding to my article, Quinn raises the question of development in science and scientific method. He picks up on the topic of the last section of my paper, and suggests that “generalized empirical method” will be “coherent with the essential dynamics of scientific progress.” He points out that, if implemented, such an extended method “promises to be a way toward new and practical results”.

With the success of cognitive science's interdisciplinary approach to studying the mind, many theorists have taken up the strategy of appealing to science to address long standing disputes about metaphysics and the mind. In a recent case in point, philosophers and psychologists, including Robert Kane, Daniel C. Dennett, and Daniel M. Wegner, are exploring how science can be brought to bear on the debate about the problem of free will. I attempt to clarify the current debate by (...) considering how empirical research can be useful. I argue that empirical findings don't apply to one basic dimension of the problem, namely the dispute between compatibilism and incompatibilism. However, I show that empirical research can provide constraints in connection with another fundamental dimension, namely the dispute between libertarianism, which claims that indeterminacy is, in certain contexts, sufficient for freedom, and hard determinism and compatibilism, which deny this. I argue that the source of the most powerful constraint is psychological research into the accuracy of introspection. (shrink)

This paper sets mathematics among the sciences, despite not being empirical, because it studies relations of various sorts, like the sciences. Each empirical science studies the relations among objects, which relations determining which science. The mathematical science studies relations as such, regardless of what those relations may be or be among, how relations themselves are related. This places it at the extreme among the sciences with no objects of its own (A Subject with no Object, (...) by J.P. Burgess and G. Rosen). Examples are discussed. The historical development of written mathematics from algorithms on clay tablets to theorems with proofs is said to show that application of algorithms to specific problems and theorems to scientific objects is like allegorical interpretation. Mathematics fits into the modern scientific context because the sciences, beginning with Galileo, have been constructed in imitation of mathematics. Viewing mathematics this way does not solve any ontological problems, but it does show how mathematics avoids them. Epistemological problems, insuperable for object realism, are simplified. For example, we have access to relations among any objects that we can consider objectively, first physical objects and then mathematical objects of greater and greater abstraction. (shrink)

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

This paper is concerned with the construction of theories of software systems yielding adequate predictions of their target systems’ computations. It is first argued that mathematical theories of programs are not able to provide predictions that are consistent with observed executions. Empirical theories of software systems are here introduced semantically, in terms of a hierarchy of computational models that are supplied by formal methods and testing techniques in computer science. Both deductive top-down and inductive bottom-up approaches in the (...) discovery of semantic software theories are refused to argue in favour of the abductive process of hypothesising and refining models at each level in the hierarchy, until they become satisfactorily predictive. Empirical theories of computational systems are required to be modular, as modular are most software verification and testing activities. We argue that logic relations must be thereby defined among models representing different modules in a semantic theory of a modular software system. We exclude that scientific structuralism is able to define module relations needed in software modular theories. The algebraic Theory of Institutions is finally introduced to specify the logic structure of modular semantic theories of computational systems. (shrink)

The laws of classical logic are taken to be logical truths, which in turn are taken to hold objectively. However, we might question our faith in these truths: why are they true? One general approach, proposed by Putnam [8] and more recently Dickson [3] or Maddy [5], is to adopt empiricism about logic. On this view, logical truths are true because they are true of the world alone – this gives logical truths an air of objectivity. Putnam and Dickson both (...) take logical truths to be true in virtue of the world’s structure, given by our best empirical theory, quantum mechanics. This assumes a determinate logical structure of the world given by quantum mechanics. Here, I argue that this assumption is false, and that the world’s logical structure, and hence the related ‘true’ logic, is underdetermined. This leads to what I call empirical conventionalism. (shrink)

This short paper, written for a wide audience, introduces "science and values" topics as they have arisen in the context of eugenics. The paper especially focuses on the context of 20th century eugenics in western Canada, where eugenic legislation in two provinces was not repealed until the 1970s and thousands of people were sterilized without their consent. A framework for understanding science-value relationships within this context is discussed, and so too is recent relevant work in philosophy of (...) class='Hi'>science. (shrink)

Psychology considered as a natural science began as Aristotelian "physics" or "natural philosophy" of the soul. C. Wolff placed psychology under metaphysics, coordinate with cosmology. Scottish thinkers placed it within moral philosophy, but distinguished its "physical" laws from properly moral laws (for guiding conduct). Several Germans sought to establish an autonomous empirical psychology as a branch of natural science. British and French visual theorists developed mathematically precise theories of size and distance perception; they created instruments to test (...) these theories and to measure visual phenomena such as the duration of visual impressions. These investigators typically were dualists who included mental phenomena within nature. (shrink)

In light of rampant fake news and disinformation in today's press and social media, I provide a new consequentialist argument that regulations on the media pertaining to certain false verifiable empirical facts are warranted. This contention is based in part on a collection of pre-existing empirical findings that I newly piece together from political science and psychology demonstrating that a post-truth society is likely with current media. My position is then defended from several counters, such as that (...) it violates deontological rights to free speech and to freedom of the press, that free speech leads to the acquisition of truth, and that government regulators can be biased and corrupt. (shrink)

Many philosophers insist that the revisionary metaphysician—i.e., the metaphysician who offers a metaphysical theory which conflicts with folk intuitions—bears a special burden to explain why certain folk intuitions are mistaken. I show how evidence from cognitive science can help revisionist discharge this explanatory burden. Focusing on composition and persistence, I argue that empirical evidence indicates that the folk operate with a promiscuous teleomentalist view of composition and persistence. The folk view, I argue, deserves to be debunked. In this (...) way, I take myself to have illustrated one key role cognitive science can play in metaphysics; namely by helping the revisionary metaphysician discharge the explanatory burden of providing a plausible explanation of how the folk have gone wrong. (shrink)

I argue that logic is unlike science in its methodology, thus rejecting anti-exceptionalism about logic. Logic has a mathematical and a philosophical part. In its mathematical part, the methodology of logic is like that of mathematics, and no need to choose between theories arises in that part. In its philosophical part, the methodology of logic is like that of philosophy. Philosophy and mathematics are both unlike the empirical sciences in their methodology. So logic is unlike the empirical (...) sciences in its methodology. I end by looking at disagreements about the liar paradox as an example. (shrink)

Introduction to the Special Volume, “Method, Science and Mathematics: Neo-Kantianism and Analytic Philosophy,” edited by Scott Edgar and Lydia Patton. At its core, analytic philosophy concerns urgent questions about philosophy’s relation to the formal and empirical sciences, questions about philosophy’s relation to psychology and the social sciences, and ultimately questions about philosophy’s place in a broader cultural landscape. This picture of analytic philosophy shapes this collection’s focus on the history of the philosophy of mathematics, physics, and psychology. The (...) following essays uncover, reflect on, and exemplify modes of philosophy that are engaged with these allied disciplines. They make the case that, to the extent that analytic philosophers are still concerned with philosophy’s ties to these disciplines, we would do well to pay attention to neo-Kantian views on those ties. (shrink)

Martine Nida-Rümelin (1996) argues that color science indicates behaviorally undetectable spectrum inversion is possible and raises this possibility as an objection to functionalist accounts of visual states of color. I show that her argument does not rest solely on color science, but also on a philosophically controversial assumption, namely, that visual states of color supervene on physiological states. However, this assumption, on the part of philosophers or vision scientists, has the effect of simply ruling out certain versions of (...) functionalism. While Nida-Rümelin is quite right to search for empirical tests for claims about the nature of visual states, philosophical issues remain pivotal in determining the correctness of these claims. (shrink)

Some prominent scientists and philosophers have stated openly that moral and political considerations should influence whether we accept or promulgate scientific theories. This widespread view has significantly influenced the development, and public perception, of intelligence research. Theories related to group differences in intelligence are often rejected a priori on explicitly moral grounds. Thus the idea, frequently expressed by commentators on science, that science is “self-correcting”—that hypotheses are simply abandoned when they are undermined by empirical evidence—may not be (...) correct in all contexts. In this paper, documentation spanning from the early 1970s to the present is collected, which reveals the influence of scientists’ moral and political commitments on the study of intelligence. It is suggested that misrepresenting findings in science to achieve desirable social goals will ultimately harm both science and society. (shrink)

Science and religion are based on different aspects of human experience. Science is a way of knowing and understanding the natural world, using empirical evidence and testable explanations. Religious faith does not depend only on empirical evidence and typically involves supernatural forces or entities. Thus, science and religion are separate and address the aspects of human understanding in different ways. The dialogue between science and religion is productive from a theological point of view since (...) the world-environment in which the theologians live is most productively studied by the sciences. The Sikh teachings, as recorded in Sri Guru Granth Sahib (SGGS), not only recognize a relationship between religion and science, logic and culture, it describes them to be interdependent. Sikh doctrines enunciate that the pursuits of learning about the cosmos by science and religion are not confrontational but complementary. Sikh precepts stress that the key to creating syncretism between science and religion is to cultivate a spirit of humility among scientists, theologians, faith practitioners, and clerics in front of Infinite Wisdom (Creator). (shrink)

In view of the critique of the methodology of the dominant interdisciplinary re-search involving language studies as the main component, in particular clinical linguistics, Cummings (2014) proposes that “It is perhaps appropriate at this point to move the debate onto non-empirical grounds.” In Cummings (2014: 113) she starts such a debate on the grounds of the philosophy of language and pragmatics. In this article, I propose to expand that debate by including the input of the philosophy of science. (...) I start the discussion by presenting the way one may carry out language research in the paradigm of empirical sciences from the perspective outlined in Bunge (1967, 1973, 2003) and constrained by Altmann’s (1978) assumption about self-originating and self-regulatory nature of language. (shrink)