Armchair-‐Friendly Experimental Philosophy
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Socrates and the Theaetetus
THE ORIGIN OF THE ‘GETTIER’ PROBLEM: SOCRATES AND THE THEAETETUS Michael JENKINS ABSTRACT: This article discusses the origin of what has become known as the Gettier Problem. It examines the claim put forward, though not expounded or defended, by J. Angelo Corlett in Analyzing Social Knowledge that the basis for Edmund Gettier’s article “Is Justified True Belief Knowledge?” was originally argued for in Plato’s Theaetetus. In his article, Gettier argues that the Justified True Belief condition is not sufficient for knowledge. However, Corlett questions the originality of this argument. This article examines Gettier’s article followed by the Theatetus. After which, the two articles are compared, and the claim is shown to be correct in accusing Gettier of failing consider the full work of the Theaetetus. Socrates also argued that the Justified True Belief condition was not sufficient for knowledge. However, this article concludes by arguing that Socrates went further with his examination than Gettier did. Socrates not only put forward the claim that this condition was insufficient for knowledge, he also tried to supply answers to the problem. KEYWORDS: Gettier, Theaetetus, epistemology, Socrates, coherentism, justification 1. Introduction In Analyzing Social Knowledge, J. Angelo Corlett states that Edmund L. Gettier, in his infamous article “Is Justified True Belief Knowledge?”1 seems to merely reiterate what Socrates (in Plato’s Theaetetus) already articulates: that “simple justified true belief is insufficient for knowledge.”2 In this article, I will argue that Corlett’s statement is correct. I will argue that it originated not with Gettier, but at least as far back into the writing of western philosophy as Socrates. -
1 Forthcoming in Oxford Studies in Experimental Philosophy Causal Reasoning
Forthcoming in Oxford Studies in Experimental Philosophy Causal Reasoning: Philosophy and Experiment* James Woodward History and Philosophy of Science University of Pittsburgh 1. Introduction The past few decades have seen much interesting work, both within and outside philosophy, on causation and allied issues. Some of the philosophy is understood by its practitioners as metaphysics—it asks such questions as what causation “is”, whether there can be causation by absences, and so on. Other work reflects the interests of philosophers in the role that causation and causal reasoning play in science. Still other work, more computational in nature, focuses on problems of causal inference and learning, typically with substantial use of such formal apparatuses as Bayes nets (e.g. , Pearl, 2000, Spirtes et al, 2001) or hierarchical Bayesian models (e.g. Griffiths and Tenenbaum, 2009). All this work – the philosophical and the computational -- might be described as “theoretical” and it often has a strong “normative” component in the sense that it attempts to describe how we ought to learn, reason, and judge about causal relationships. Alongside this normative/theoretical work, there has also been a great deal of empirical work (hereafter Empirical Research on Causation or ERC) which focuses on how various subjects learn causal relationships, reason and judge causally. Much of this work has been carried out by psychologists, but it also includes contributions by primatologists, researchers in animal learning, and neurobiologists, and more rarely, philosophers. In my view, the interactions between these two groups—the normative/theoretical and the empirical -- has been extremely fruitful. In what follows, I describe some ideas about causal reasoning that have emerged from this research, focusing on the “interventionist” ideas that have figured in my own work. -
Some Reflections on Gettier's Problem
Some Reflections on Gettier’s Problem Golam Azam * It is one of the basic problems of epistemology to define knowledge. Epistemology is one of the branches of philosophy that discusses about the definition, sources, validity and limitations of knowledge. From Socrates to till date this problem is being discussed by most of the eminent philosophers; ancient, medieval, modern or contemporary- eastern or western- Indian, Muslim, Chinese or Buddhist philosophers. Why knowledge is important, what the criterion of truth is, are also the basic issues of discussion of the philosophers of the ages. E. Gettier, an American epistemologist, published a paper of only three pages entitled “Is Justified True Belief Knowledge?” in 1963 where he challenged the age-old definition of knowledge. Traditionally knowledge is defined as ‘justified true belief’. Gettier showed that these three conditions are not enough for the definition of knowledge. In this paper, Gettier’s conception regarding the definition of knowledge will be analyzed and in this connection the reaction of the contemporary epistemologists will also be interpreted and analyzed. It will be showed that now a day the fundamental problem of knowledge is not to define ‘knowledge’ rather the problem is mainly regarding the justification of the statement of knowledge. I Before the publication of Gettier's paper knowledge was widely defined as justified true belief. It is the pre-Gettier definition of knowledge. After the publication of Gettier’s paper the term ‘Gettier problem’ has become well known to the contemporary philosophers. Gettier problems or cases are named in honor of the American philosopher Edmund Gettier. -
Experimental Philosophy, Robert Kane, and the Concept of Free Will
Journal of Cognition and Neuroethics Experimental Philosophy, Robert Kane, and the Concept of Free Will J. Neil Otte University at Buffalo, The State University of New York Biography J. Neil Otte is presently in the Ph.D. program at the University at Buffalo (SUNY) and works in moral psychology, cognitive science, and the history of philosophy. For six years, he was an adjunct lecturer in philosophy at John Jay College of Criminal Justice in New York City. In the last three years, he has been an organizer of the Buffalo Annual Experimental Philosophy Conference, an organizer for a conference on sentiment and reason in early modern philosophy, and has worked as an ontologist for the research foundation, CUBRC. Acknowledgements The author wishes to thank Gunnar Björnsson, Gregg Caruso, and Oisín Deery for their supportive comments and conversation during the Free Will Conference at the Insight Institute of Neurosurgery and Neuroscience in Fall of 2014, as well as conference organizer Jami Anderson. Publication Details Journal of Cognition and Neuroethics (ISSN: 2166-5087). March, 2015. Volume 3, Issue 1. Citation Otte, J. Neil. 2015. “Experimental Philosophy, Robert Kane, and the Concept of Free Will.” Journal of Cognition and Neuroethics 3 (1): 281–296. Experimental Philosophy, Robert Kane, and the Concept of Free Will J. Neil Otte Abstract Trends in experimental philosophy have provided new and compelling results that are cause for re-evaluations in contemporary discussions of free will. In this paper, I argue for one such re-evaluation by criticizing Robert Kane’s well-known views on free will. I argue that Kane’s claims about pre-theoretical intuitions are not supported by empirical findings on two accounts. -
Philosophical Ramifications: Theory, Experiment, & Empirical Truth
PCES 3.42 PHILOSOPHICAL RAMIFICATIONS: THEORY, EXPERIMENT, & EMPIRICAL TRUTH Even before Newton published his revolutionary work, philosophers had already been trying to come to grips with the questions raised by the new experimental philosophy. The work of Bacon, and most of all of Descartes, had forced the issue of empirical truth onto centre stage. There were several key questions: (i) Of what are we sure (is any of our knowledge certain)? This question was very old but the onslaught of empirical science meant that rationalist (Greek- style or otherwise) or scholastic arguments were now widely rejected. (ii) What is the stuff of experience (Sense data/mental ‘impressions’). So the empiricist philosophers turned instead to sense data, or more generally the stuff of direct human experience, as their touchstone. This eventually led to quite fantastic arguments by the British empiricist school (and later on by positivist philosophers on the continent, and eventually in the UK). These ideas were very influential in physics, where they were assimilated to the ‘experimental philosophy’ (iii) What are the influences & constraints imposed by human faculties? Eventually the obvious point, that human experience was dependent on and indeed constrained by our own sensory and mental faculties, was re-integrated into the discussion, notably by Kant. This almost inevitably led to a re-introduction of an extra-sensory world, beyond our faculties, which constituted a deeper or underlying ‘reality’. The success of new physical ideas inevitably helped this process. PCES 3.43 BRITISH EMPIRICISM I: Locke & “Sensations” Locke was the first British philosopher of note after Bacon; his work is a reaction to the European rationalists, and continues to elaborate ‘experimental philosophy’. -
Survey Experiments
IU Workshop in Methods – 2019 Survey Experiments Testing Causality in Diverse Samples Trenton D. Mize Department of Sociology & Advanced Methodologies (AMAP) Purdue University Survey Experiments Page 1 Survey Experiments Page 2 Contents INTRODUCTION ............................................................................................................................................................................ 8 Overview .............................................................................................................................................................................. 8 What is a survey experiment? .................................................................................................................................... 9 What is an experiment?.............................................................................................................................................. 10 Independent and dependent variables ................................................................................................................. 11 Experimental Conditions ............................................................................................................................................. 12 WHY CONDUCT A SURVEY EXPERIMENT? ........................................................................................................................... 13 Internal, external, and construct validity .......................................................................................................... -
CVII: 2 (February 2000), Pp
TAMAR SZABÓ GENDLER July 2014 Dean of the Faculty of Arts and Sciences · Yale University · P.O. Box 208365 · New Haven, CT 06520-8365 E-mail: [email protected] · Office telephone: 203.432.4444 ACADEMIC EMPLOYMENT 2006- Yale University Academic Vincent J. Scully Professor of Philosophy (F2012-present) Professor of Philosophy (F2006-F2012); Professor of Psychology (F2009-present); Professor of Humanities (S2007-present); Professor of Cognitive Science (F2006-present) Administrative Dean, Faculty of Arts and Sciences (Sum2014-present) Deputy Provost, Humanities and Initiatives (F2013-Sum2014) Chair, Department of Philosophy (Sum2010-Sum2013) Chair, Cognitive Science Program (F2006-Sum2010) 2003-2006 Cornell University Academic Associate Professor of Philosophy (with tenure) (F2003-S2006) Administrative Director of Graduate Studies, Department of Philosophy (F2004-S2006) Co-Director, Program in Cognitive Studies (F2004-S2006) 1997-2003 Syracuse University Academic Associate Professor of Philosophy (with tenure) (F2002-S2003) Assistant Professor of Philosophy (tenure-track) (F1999-S2002) Allen and Anita Sutton Distinguished Faculty Fellow (F1997-S1999) Administrative Director of Undergraduate Studies, Department of Philosophy (F2001-S2003) 1996-1997 Yale University Academic Lecturer (F1996-S1997) EDUCATION 1990-1996 Harvard University. PhD (Philosophy), August 1996. Dissertation title: ‘Imaginary Exceptions: On the Powers and Limits of Thought Experiment’ Advisors: Robert Nozick, Derek Parfit, Hilary Putnam 1989-1990 University of California -
Experimental Philosophy Jordan Kiper, Stephen Stich, H. Clark Barrett
Experimental Philosophy Jordan Kiper, Stephen Stich, H. Clark Barrett, & Edouard Machery Kiper, J., Stich, S., Barrett, H.C., & Machery, E. (in press). Experimental philosophy. In D. Ludwig, I. Koskinen, Z. Mncube, L. Poliseli, & L. Reyes-Garcia (Eds.), Global Epistemologies and Philosophies of Science. New York, NY: Routledge. Acknowledgments: This publication was made possible through the support of a grant from the John Templeton Foundation. The opinions expressed in this publication are those of the author(s) and do not necessarily reflect the views of the John Templeton Foundation. Abstract Philosophers have argued that some philosophical concepts are universal, but it is increasingly clear that the question of philosophical universals is far from settled, and that far more cross- cultural research is necessary. In this chapter, we illustrate the relevance of investigating philosophical concepts and describe results from recent cross-cultural studies in experimental philosophy. We focus on the concept of knowledge and outline an ongoing project, the Geography of Philosophy Project, which empirically investigates the concepts of knowledge, understanding, and wisdom across cultures, languages, religions, and socioeconomic groups. We outline questions for future research on philosophical concepts across cultures, with an aim towards resolving questions about universals and variation in philosophical concepts. 1 Introduction For centuries, thinkers have urged that fundamental philosophical concepts, such as the concepts of knowledge or right and wrong, are universal or at least shared by all rational people (e.g., Plato 1892/375 BCE; Kant, 1998/1781; Foot, 2003). Yet many social scientists, in particular cultural anthropologists (e.g., Boas, 1940), but also continental philosophers such as Foucault (1969) have remained skeptical of these claims. -
Lab Experiments Are a Major Source of Knowledge in the Social Sciences
IZA DP No. 4540 Lab Experiments Are a Major Source of Knowledge in the Social Sciences Armin Falk James J. Heckman October 2009 DISCUSSION PAPER SERIES Forschungsinstitut zur Zukunft der Arbeit Institute for the Study of Labor Lab Experiments Are a Major Source of Knowledge in the Social Sciences Armin Falk University of Bonn, CEPR, CESifo and IZA James J. Heckman University of Chicago, University College Dublin, Yale University, American Bar Foundation and IZA Discussion Paper No. 4540 October 2009 IZA P.O. Box 7240 53072 Bonn Germany Phone: +49-228-3894-0 Fax: +49-228-3894-180 E-mail: [email protected] Any opinions expressed here are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but the institute itself takes no institutional policy positions. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. -
Will There Be a Neurolaw Revolution?
Will There Be a Neurolaw Revolution? ∗ ADAM J. KOLBER The central debate in the field of neurolaw has focused on two claims. Joshua Greene and Jonathan Cohen argue that we do not have free will and that advances in neuroscience will eventually lead us to stop blaming people for their actions. Stephen Morse, by contrast, argues that we have free will and that the kind of advances Greene and Cohen envision will not and should not affect the law. I argue that neither side has persuasively made the case for or against a revolution in the way the law treats responsibility. There will, however, be a neurolaw revolution of a different sort. It will not necessarily arise from radical changes in our beliefs about criminal responsibility but from a wave of new brain technologies that will change society and the law in many ways, three of which I describe here: First, as new methods of brain imaging improve our ability to measure distress, the law will ease limitations on recoveries for emotional injuries. Second, as neuroimaging gives us better methods of inferring people’s thoughts, we will have more laws to protect thought privacy but less actual thought privacy. Finally, improvements in artificial intelligence will systematically change how law is written and interpreted. INTRODUCTION ...................................................................................................... 808 I. A WEAK CASE FOR A RESPONSIBILITY REVOLUTION.......................................... 809 A. THE FREE WILL IMPASSE ......................................................................... 809 B. GREENE AND COHEN’S NORMATIVE CLAIM ............................................. 810 C. GREENE AND COHEN’S PREDICTION ........................................................ 811 D. WHERE THEIR PREDICTION NEEDS STRENGTHENING .............................. 813 II. A WEAK CASE THAT LAW IS INSULATED FROM REVOLUTION .......................... -
1 Joshua Knobe Yale University Take a Few Courses in Cognitive Science
FREE WILL AND THE SCIENTIFIC VISION1 Joshua Knobe Yale University [Forthcoming in Edouard Machery and Elizabeth O’Neill (eds.), Current Controversies in Experimental Philosophy. RoutledGe.] Take a few courses in cognitive science, and you are likely to come across a certain kind of metaphor for the workinGs of the human mind. The metaphor Goes like this: Consider a piece of computer software. The software consists of a collection of states and processes. We can predict what the software will do by lookinG at the complex ways in which these states and processes interact. The human mind works in more or less the same way. It too is just a complex collection of states and processes, and we can predict what a human being will do by thinking about the complex ways in which these states and processes interact. One can imaGine someone sayinG: ‘I see all these states and processes, but aren’t you forgetting somethinG further – namely, the person herself?’ This question, however, is a foolish one. It is no more helpful than it would be to say: ‘I see all these states and processes, but where is the software itself?’ The software just is a collection of states and processes, and the human mind is the same sort of thinG. This metaphor does a Good job of capturinG the basic approach one finds throuGhout the sciences of the mind. We miGht say that it captures the scientific vision of how the human mind works. But one could also imaGine another, very different metaphor for the workinGs of the mind. -
Combining Epistemic Tools in Systems Biology Sara Green
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Philsci-Archive Final version to be published in Studies of History and Philosophy of Biological and Biomedical Sciences Published online: http://www.sciencedirect.com/science/article/pii/S1369848613000265 When one model is not enough: Combining epistemic tools in systems biology Sara Green Centre for Science Studies, Department of Physics and Astronomy, Ny Munkegade 120, Bld. 1520, Aarhus University, Denmark [email protected] Abstract In recent years, the philosophical focus of the modeling literature has shifted from descriptions of general properties of models to an interest in different model functions. It has been argued that the diversity of models and their correspondingly different epistemic goals are important for developing intelligible scientific theories (Levins, 2006; Leonelli, 2007). However, more knowledge is needed on how a combination of different epistemic means can generate and stabilize new entities in science. This paper will draw on Rheinberger’s practice-oriented account of knowledge production. The conceptual repertoire of Rheinberger’s historical epistemology offers important insights for an analysis of the modelling practice. I illustrate this with a case study on network modeling in systems biology where engineering approaches are applied to the study of biological systems. I shall argue that the use of multiple means of representations is an essential part of the dynamic of knowledge generation. It is because of – rather than in spite of – the diversity of constraints of different models that the interlocking use of different epistemic means creates a potential for knowledge production.