Results for 'Empirical Science'

967 found
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  1. Can the empirical sciences contribute to the moral realism/anti-realism debate?Thomas Pölzler - 2018 - Synthese 195 (11):4907-4930.
    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 (...)
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  2. Logical Maximalism in the Empirical Sciences.Constantin C. Brîncuș - 2021 - In Parusniková Zuzana & Merritt David (eds.), Karl Popper's Science and Philosophy. Cham, Switzerland: Springer. pp. 171-184.
    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 (...)
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  3. (1 other version)Inconsistency in Empirical Science.Luis Felipe Bartolo Alegre - manuscript
    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.
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  4. Neo-Aristotelian Naturalism and the Evolutionary Objection: Rethinking the Relevance of Empirical Science.Parisa Moosavi - 2018 - In John Hacker-Wright (ed.), Philippa Foot on Goodness and Virtue. Springer Verlag. pp. 277-307.
    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 (...)
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  5. A New Role for Mathematics in Empirical Sciences.Atoosa Kasirzadeh - 2021 - Philosophy of Science 88 (4):686-706.
    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 (...)
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  6. On the Meaning of Psychological Concepts: Is There Still a Need for Psychological Concepts in the Empirical Sciences?Mika Suojanen - 2023 - Qeios 1 (1).
    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 (...)
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  7. In Defence of Linguistics as an Empirical Science in Light of Mario Bunge’s Defence of the Scientific Treatment of Biology.Dorota Zielińska - 2024 - Mεtascience: Scientific General Discourse 3:205-251.
    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 (...)
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  8. Disagreement and Progress in Philosophy and in Empirical Sciences.Işık Sarıhan - forthcoming - Social Epistemology.
    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 (...)
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  9. The Empirical Interpretation of French Cartesianism: the Académie des Sciences, the Journal des Sçavans and the Relationship with the Royal Society.Nausicaa Elena Milani - 2014 - Noctua 1 (2):312-480.
    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 (...)
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  10. Digital Literature Analysis for Empirical Philosophy of Science.Oliver M. Lean, Luca Rivelli & Charles H. Pence - 2021 - British Journal for the Philosophy of Science (4):875-898.
    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 (...)
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  11. The Construction of Empirical Concepts and the Establishment of the Real Possibility of Empirical Lawlikeness in Kant's Philosophy of Science.Jennifer McRobert - 1987 - Dissertation, Dalhousie University
    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 (...)
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  12. People of the Book: Empire and Social Science in the Islamic Commonwealth Period.Musa al-Gharbi - 2021 - Socius 7.
    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 (...)
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  13. Generalized Empirical Method in the Biological Sciences.Terrance Quinn - 2014 - Dialogues in Philosophy, Mental and Neuro Sciences 7 (1):31.
    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.
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  14. The Case Study Method in Philosophy of Science: An Empirical Study.Moti Mizrahi - 2020 - Perspectives on Science 28 (1):63-88.
    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 (...)
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  15. Philosophical Puzzles Evade Empirical Evidence: Some Thoughts and Clarifications Regarding the Relation Between Brain Sciences and Philosophy of Mind.Işık Sarıhan - 2017 - In Jon Leefmann & Elisabeth Hildt (eds.), The Human Sciences after the Decade of the Brain. London, Vereinigtes Königreich: Elsevier Academic Press. pp. 14-23.
    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 (...)
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  16. UTOPIAN SCIENCE AND EMPIRE. NOTES ON THE IBERIAN BACKGROUND OF FRANCIS BACON's PROJECT.Silvia Manzo - 2010 - Studii de stiinŃă Si Cultură 6 (4 (23)):111-123.
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  17. Scientific Realism in the Wild: An Empirical Study of Seven Sciences and History and Philosophy of Science.James R. Beebe & Finnur Dellsén - 2020 - Philosophy of Science 87 (2):336-364.
    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 (...)
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  18. Solomon's empirical/non-empirical distinction and the proper place of values in science.Sharyn Clough - 2008 - Perspectives on Science 16 (3):pp. 265-279.
    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 (...) 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)
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  19. The Effectiveness of Embedded Values Analysis Modules in Computer Science Education: An Empirical Study.Matthew Kopec, Meica Magnani, Vance Ricks, Roben Torosyan, John Basl, Nicholas Miklaucic, Felix Muzny, Ronald Sandler, Christo Wilson, Adam Wisniewski-Jensen, Cora Lundgren, Kevin Mills & Mark Wells - 2023 - Big Data and Society 10 (1).
    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 (...)
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  20. Empirical Research and Normative Theory – Transdisciplinary Perspectives on Two Methodical Traditions Between Separation and Interdependence.Alexander Max Bauer & Malte Meyerhuber (eds.) - 2019 - Berlin and Boston: Walter de Gruyter.
    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 (...)
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  21. Modeling as a Case for the Empirical Philosophy of Science.Ekaterina Svetlova - 2015 - In Susann Wagenknecht, Nancy J. Nersessian & Hanne Andersen (eds.), Empirical Philosophy of Science: Introducing Qualitative Methods into Philosophy of Science. Cham: Springer International Publishing. pp. 65-82.
    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 (...)
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  22. Constructive Verification, Empirical Induction, and Falibilist Deduction: A Threefold Contrast.Julio Michael Stern - 2011 - Information 2 (4):635-650.
    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 (...)
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  23. Philosophical Naturalism and Empirical Approaches to Philosophy.Jonathan Y. Tsou - forthcoming - In Marcus Rossberg (ed.), The Cambridge Handbook of Analytic Philosophy. Cambridge University Press.
    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.
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  24. Empirical Analyses of Causation.Douglas Kutach - 2010 - In Allan Hazlett (ed.), New Waves in Metaphysics. Palgrave-Macmillan.
    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 (...)
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  25. (1 other version)The ‘Empirical’ in the Empirical Turn: A Critical Analysis.Mariska Thalitha Bosschaert & Vincent Blok - 2022 - Foundations of Science 1 (2):1-22.
    During the second half of the twentieth century, several philosophers of technology argued that their predecessors had reflected too abstractly and pessimistically on technology. In the view of these critics, one should study technologies empirically in order to fully understand them. They developed several strategies to empirically inform the philosophy of technology and called their new approach the empirical turn. However, they provide insufficient indications of what exactly is meant by empirical study in their work. This leads to (...)
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  26. Empirical ethics, context-sensitivity, and contextualism.Albert Musschenga - 2005 - Journal of Medicine and Philosophy 30 (5):467 – 490.
    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." (...)
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  27. (1 other version)The science of belief: A progress report.Nicolas Porot & Eric Mandelbaum - 2020 - WIREs Cognitive Science 1.
    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 (...)
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  28. In defense of the armchair: Against empirical arguments in the philosophy of perception.Peter Fisher Epstein - 2022 - Noûs 57 (4):784-814.
    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 (...)
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  29. Empirical Analysis of Current Approaches to Incidental Findings.Frances Lawrenz & Suzanne Sobotka - 2008 - Journal of Law, Medicine and Ethics 36 (2):249-255.
    Researchers in the health sciences regularly discover information of potential health importance unrelated to their object of study in the course of their research. However, there appears to be little guidance available on what researchers should do with this information, known in the scientific literature as incidental findings. The study described here was designed to determine the extent of guidance available to researchers from public sources. This empirical study was part of a larger two-year project funded by the National (...)
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  30. Empirical Vitalism – Observing an Organism’s Formative Power within an Active and Co-Constitutive Relation between Subject and Object.Christoph J. Hueck - 2025 - History and Philosophy of the Life Sciences 47 (9):1-19.
    This article proposes an empirical approach to understanding the life of an organism that overcomes reductionist and dualist approaches. The approach is based on Immanuel Kant’s analysis of the cognitive conditions required for the recognition of an organism: the concept of teleology and the assumption of a formative power of self-generation. It is analyzed how these two criteria are applied in the cognition of a developing organism. Using the example of a developmental series of a plant leaf, an active (...)
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  31. Meta-Empirical Support for Eliminative Reasoning.C. D. McCoy - 2021 - Studies in History and Philosophy of Science Part A 90:15-29.
    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 (...)
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  32. The Logic of the Method of Agent-Based Simulation in the Social Sciences: Empirical and Intentional Adequacy of Computer Programs.Nuno David, Jaime Sichman & Helder Coleho - 2005 - Journal of Artificial Societies and Social Simulation 8 (4).
    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. (...)
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  33. Volume Introduction – Method, Science and Mathematics: Neo-Kantianism and Analytic Philosophy.Scott Edgar - 2018 - Journal for the History of Analytical Philosophy 6 (3):1-10.
    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 (...)
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  34. Science by Conceptual Analysis.James Franklin - 2012 - Studia Neoaristotelica 9 (1):3-24.
    The late scholastics, from the fourteenth to the seventeenth centuries, contributed to many fields of knowledge other than philosophy. They developed a method of conceptual analysis that was very productive in those disciplines in which theory is relatively more important than empirical results. That includes mathematics, where the scholastics developed the analysis of continuous motion, which fed into the calculus, and the theory of risk and probability. The method came to the fore especially in the social sciences. In legal (...)
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  35. (1 other version)Empirical constraints on the problem of free will.Peter W. Ross - 2004 - In Susan Pockett (ed.), Does consciousness cause behaviour? Mit Press. pp. 125-144.
    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 (...)
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  36. Cognitive Science for the Revisionary Metaphysician.David Rose - 2019 - In Alvin I. Goldman & Brian P. McLaughlin (eds.), Metaphysics and Cognitive Science. New York, NY: Oxford University Press.
    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 (...)
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  37. Discovering Empirical Theories of Modular Software Systems. An Algebraic Approach.Nicola Angius & Petros Stefaneas - 2016 - In Vincent C. Müller (ed.), Computing and philosophy: Selected papers from IACAP 2014. Cham: Springer. pp. 99-115.
    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 (...)
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  38. String Theory, Non-Empirical Theory Assessment, and the Context of Pursuit.Frank Cabrera - 2021 - Synthese 198:3671–3699.
    In this paper, I offer an analysis of the radical disagreement over the adequacy of string theory. The prominence of string theory despite its notorious lack of empirical support is sometimes explained as a troubling case of science gone awry, driven largely by sociological mechanisms such as groupthink (e.g. Smolin 2006). Others, such as Dawid (2013), explain the controversy by positing a methodological revolution of sorts, according to which string theorists have quietly turned to nonempirical methods of theory (...)
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  39. Conceptions of scientific progress in scientific practice: an empirical study.Moti Mizrahi - 2021 - Synthese 199 (1-2):2375-2394.
    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 (...)
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  40. An Empirical Route to Logical 'Conventionalism'.Eugene Chua - 2017 - In Baltag Alexandru, Seligman Jeremy & Yamada Tomoyuki (eds.), Logic, Rationality, and Interaction. LORI 2017. Lecture Notes in Computer Science, vol 10455. Springer. pp. 631-636.
    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 (...)
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  41. Linguistic Research in the Empirical Paradigm as Outlined by Mario Bunge.Dorota Zielińska - 2022 - Mεtascience: Scientific General Discourse 2:182-202.
    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. (...)
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  42. (1 other version)Expanding the Empirical Realm: Constructive Empiricism and Augmented Observation.Finnur Dellsén - forthcoming - In Michael Frauchiger (ed.), Themes from van Fraassen (Lauener Library of Analytical Philosophy). De Gruyter.
    Manifestationalism holds that science aims only to give us theories that are correct about what has been observed thus far. Several philosophers, including Bas van Fraassen, have argued that manifestationalism cannot make sense of the scientific impetus to make new observations, since such observations only risk turning manifestationally adequate theories into inadequate ones. This paper argues that a strikingly similar objection applies to van Fraassen’s own constructive empiricism, the view that science aims only to find theories that are (...)
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  43. On falsifying empirical contradictions.Luis Felipe Bartolo Alegre - manuscript
    The possibility of testing contradictory statements about the factual world has been suggested but barely discussed in the relevant literature. Here I argue that if we assume that there are contradictory observation sentences, it would be logically impossible to falsify them. Accordingly, the extension of the dialetheist programme into empirical science would be non-advisable, for it would introduce logically unfalsifiable claims.
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  44. Logic is Not Science.Ulf Hlobil - forthcoming - In Sanderson Molick (ed.), Demarcating logic and science: exploring new frontiers. Springer.
    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 (...)
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  45. David Hume and the Science of Man.Zuzana Parusniková - 2011 - Teorie Vědy / Theory of Science 33 (2):205-231.
    Hume built his philosophical system with the ambition to become a Newton of human nature. His science of man is the fulfillment of this project. Hume was inspired by the Newtonian experimental empirical method excluding hypotheses, and he applied this method to moral sciences; he took those to be the basis of all other knowledge. The observation of human cognitive faculties, however, brought him to sceptical conclusions concerning the rational justification of empirical sciences. His original ambitions are (...)
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  46. Scientific Realism and Empirical Confirmation: a Puzzle.Simon Allzén - 2021 - Studies in History and Philosophy of Science Part A 90:153-159.
    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 (...)
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  47. From Empirical Evidence to First Principles: Thomas Kuhn's Methodological Revolution.Paulo Pirozelli - 2021 - Veritas – Revista de Filosofia da Pucrs 65 (3):1-10.
    The Structure of Scientific Revolutions represented a milestone in the attempt to understand scientific development based on empirical observations. However, in the next decades after the publication of his book, history, psychology, and sociology became increasingly marginal in Kuhn’s discussions. In his last articles, Kuhn even suggested that philosophers should pay less attention to empirical data and focus more on “first principles.” The purpose of this article is, first, to describe this radical transformation in Kuhn’s methodological approach, from (...)
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  48. Generalized Empirical Method: is it needed?Robert Henman - 2014 - Dialogues in Philosophy, Mental and Neuro Sciences 7 (1):32-33.
    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”.
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  49. Extreme Science: Mathematics as the Science of Relations as such.R. S. D. Thomas - 2008 - In Bonnie Gold & Roger A. Simons (eds.), Proof and Other Dilemmas: Mathematics and Philosophy. Mathematical Association of America. pp. 245.
    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, (...)
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  50. In Praise of Normative Science: Arts and Humanities in the Age of Artificial Intelligence (2nd edition).Helen Titilola Olojede & Etaoghene Paul Polo - 2025 - International Journal of Social Sciences and Humanities: Africa Research Corps Network (Arcn) Journals 11 (2):1-9.
    The advent of Artificial Intelligence (AI) and other digital technologies is touted as ushering in the fourth industrial revolution (4IR). 4IR, also known as ‘Industry 4.0,’ pertains to the burning internet connectivity, sophisticated analytics and production, and automation’s transformative impacts on the world. The surge of change in the production arena started in the second half of 2010 and has continued to increase astronomically, with a remarkable probability of shaping the future of manufacturing and humanity. The 4IR is thus heralding (...)
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