The Distinction Between Falsification and Rejection in the Demarcation
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Would ''Direct Realism'' Resolve the Classical Problem of Induction?
NOU^S 38:2 (2004) 197–232 Would ‘‘Direct Realism’’ Resolve the Classical Problem of Induction? MARC LANGE University of North Carolina at Chapel Hill I Recently, there has been a modest resurgence of interest in the ‘‘Humean’’ problem of induction. For several decades following the recognized failure of Strawsonian ‘‘ordinary-language’’ dissolutions and of Wesley Salmon’s elaboration of Reichenbach’s pragmatic vindication of induction, work on the problem of induction languished. Attention turned instead toward con- firmation theory, as philosophers sensibly tried to understand precisely what it is that a justification of induction should aim to justify. Now, however, in light of Bayesian confirmation theory and other developments in epistemology, several philosophers have begun to reconsider the classical problem of induction. In section 2, I shall review a few of these developments. Though some of them will turn out to be unilluminating, others will profitably suggest that we not meet inductive scepticism by trying to justify some alleged general principle of ampliative reasoning. Accordingly, in section 3, I shall examine how the problem of induction arises in the context of one particular ‘‘inductive leap’’: the confirmation, most famously by Henrietta Leavitt and Harlow Shapley about a century ago, that a period-luminosity relation governs all Cepheid variable stars. This is a good example for the inductive sceptic’s purposes, since it is difficult to see how the sparse background knowledge available at the time could have entitled stellar astronomers to regard their observations as justifying this grand inductive generalization. I shall argue that the observation reports that confirmed the Cepheid period- luminosity law were themselves ‘‘thick’’ with expectations regarding as yet unknown laws of nature. -
ATINER's Conference Paper Series PHI2012-0090 Demarcation
ATINER CONFERENCE PAPER SERIES No: PHI2012-0090 Athens Institute for Education and Research ATINER ATINER's Conference Paper Series PHI2012-0090 Demarcation, Definition, Art Thomas Adajian Assistant Professor of Philosophy James Madison University USA 1 ATINER CONFERENCE PAPER SERIES No: PHI2012-0090 Athens Institute for Education and Research 8 Valaoritou Street, Kolonaki, 10671 Athens, Greece Tel: + 30 210 3634210 Fax: + 30 210 3634209 Email: [email protected] URL: www.atiner.gr URL Conference Papers Series: www.atiner.gr/papers.htm Printed in Athens, Greece by the Athens Institute for Education and Research. All rights reserved. Reproduction is allowed for non-commercial purposes if the source is fully acknowledged. ISSN 2241-2891 4/09/2012 2 ATINER CONFERENCE PAPER SERIES No: PHI2012-0090 An Introduction to ATINER's Conference Paper Series ATINER started to publish this conference papers series in 2012. It includes only the papers submitted for publication after they were presented at one of the conferences organized by our Institute every year. The papers published in the series have not been refereed and are published as they were submitted by the author. The series serves two purposes. First, we want to disseminate the information as fast as possible. Second, by doing so, the authors can receive comments useful to revise their papers before they are considered for publication in one of ATINER's books, following our standard procedures of a blind review. Dr. Gregory T. Papanikos President Athens Institute for Education and Research 3 ATINER CONFERENCE PAPER SERIES No: PHI2012-0090 This paper should be cited as follows: Adajian, T. -
The Demarcation Problem
Part I The Demarcation Problem 25 Chapter 1 Popper’s Falsifiability Criterion 1.1 Popper’s Falsifiability Popper’s Problem : To distinguish between science and pseudo-science (astronomy vs astrology) - Important distinction: truth is not the issue – some theories are sci- entific and false, and some may be unscientific but true. - Traditional but unsatisfactory answers: empirical method - Popper’s targets: Marx, Freud, Adler Popper’s thesis : Falsifiability – the theory contains claims which could be proved to be false. Characteristics of Pseudo-Science : unfalsifiable - Any phenomenon can be interpreted in terms of the pseudo-scientific theory “Whatever happened always confirmed it” (5) - Example: man drowning vs saving a child Characteristics of Science : falsifiability - A scientific theory is always takes risks concerning the empirical ob- servations. It contains the possibility of being falsified. There is con- firmation only when there is failure to refute. 27 28 CHAPTER 1. POPPER’S FALSIFIABILITY CRITERION “The theory is incompatible with certain possible results of observation” (6) - Example: Einstein 1919 1.2 Kuhn’s criticism of Popper Kuhn’s Criticism of Popper : Popper’s falsifiability criterion fails to char- acterize science as it is actually practiced. His criticism at best applies to revolutionary periods of the history of science. Another criterion must be given for normal science. Kuhn’s argument : - Kuhn’s distinction between normal science and revolutionary science - A lesson from the history of science: most science is normal science. Accordingly, philosophy of science should focus on normal science. And any satisfactory demarcation criterion must apply to normal science. - Popper’s falsifiability criterion at best only applies to revolutionary science, not to normal science. -
Study Questions Philosophy of Science Spring 2011 Exam 1
Study Questions Philosophy of Science Spring 2011 Exam 1 1. Explain the affinities and contrasts between science and philosophy and between science and metaphysics. 2. What is the principle of verification? How was the logical positivist‟s view of verification influenced by Hume‟s fork? Explain. 3. Explain Hume‟s distinction between impressions and ideas. What is the relevance of this distinction for the empiricist‟s view of how knowledge is acquired? 4. Why was Hume skeptical about “metaphysical knowledge”? Does the logical positivist, such as A. J. Ayer, agree or disagree? Why or why not? 5. Explain Ayer‟s distinction between weak and strong verification. Is this distinction tenable? 6. How did Rudolf Carnap attempt to separate science from metaphysics? Explain the role of what Carnap called „C-Rules‟ for this attempt. Was he successful? 7. Explain one criticism of the logical positivist‟s principle of verification? Do you agree or disagree? Why or why not? 8. Explain the affinities and contrasts between A. J. Ayer‟s logical positivism and Karl Popper‟s criterion of falsifiability. Why does Popper think that scientific progress depends on falsifiability rather than verifiability? What are Popper‟s arguments against verifiability? Do you think Popper is correct? 9. Kuhn argued that Popper neglected what Kuhn calls “normal science.” Does Popper have a reply to Kuhn in his distinction between science and ideology? Explain. 10. Is Popper‟s criterion of falsifiability a solution to the problem of demarcation? Why or why not? Why would Gierre or Kuhn disagree? Explain 11. Kuhn, in his “Logic of Discovery or Psychology of Research?” disagrees with Popper‟s criterion of falsifiability as defining the essence of science. -
Donna E. West Myrdene Anderson Editors Before and Beyond Consciousness
Studies in Applied Philosophy, Epistemology and Rational Ethics Donna E. West Myrdene Anderson Editors Consensus on Peirce’s Concept of Habit Before and Beyond Consciousness Studies in Applied Philosophy, Epistemology and Rational Ethics Volume 31 Series editor Lorenzo Magnani, University of Pavia, Pavia, Italy e-mail: [email protected] Editorial Board Atocha Aliseda Universidad Nacional Autónoma de México (UNAM), Coyoacan, Mexico Giuseppe Longo Centre Cavaillès, CNRS—Ecole Normale Supérieure, Paris, France Chris Sinha Lund University, Lund, Sweden Paul Thagard Waterloo University, Waterloo, ON, Canada John Woods University of British Columbia, Vancouver, BC, Canada About this Series Studies in Applied Philosophy, Epistemology and Rational Ethics (SAPERE) publishes new developments and advances in all the fields of philosophy, epistemology, and ethics, bringing them together with a cluster of scientific disciplines and technological outcomes: from computer science to life sciences, from economics, law, and education to engineering, logic, and mathematics, from medicine to physics, human sciences, and politics. It aims at covering all the challenging philosophical and ethical themes of contemporary society, making them appropriately applicable to contemporary theoretical, methodological, and practical problems, impasses, controversies, and conflicts. The series includes monographs, lecture notes, selected contributions from specialized conferences and workshops as well as selected Ph.D. theses. Advisory Board A. Abe, Chiba, Japan A. Pereira, São Paulo, Brazil H. Andersen, Copenhagen, Denmark L.M. Pereira, Caparica, Portugal O. Bueno, Coral Gables, USA A.-V. Pietarinen, Helsinki, Finland S. Chandrasekharan, Mumbai, India D. Portides, Nicosia, Cyprus M. Dascal, Tel Aviv, Israel D. Provijn, Ghent, Belgium G.D. Crnkovic, Västerås, Sweden J. Queiroz, Juiz de Fora, Brazil M. -
Machine Guessing – I
Machine Guessing { I David Miller Department of Philosophy University of Warwick COVENTRY CV4 7AL UK e-mail: [email protected] ⃝c copyright D. W. Miller 2011{2018 Abstract According to Karl Popper, the evolution of science, logically, methodologically, and even psy- chologically, is an involved interplay of acute conjectures and blunt refutations. Like biological evolution, it is an endless round of blind variation and selective retention. But unlike biological evolution, it incorporates, at the stage of selection, the use of reason. Part I of this two-part paper begins by repudiating the common beliefs that Hume's problem of induction, which com- pellingly confutes the thesis that science is rational in the way that most people think that it is rational, can be solved by assuming that science is rational, or by assuming that Hume was irrational (that is, by ignoring his argument). The problem of induction can be solved only by a non-authoritarian theory of rationality. It is shown also that because hypotheses cannot be distilled directly from experience, all knowledge is eventually dependent on blind conjecture, and therefore itself conjectural. In particular, the use of rules of inference, or of good or bad rules for generating conjectures, is conjectural. Part II of the paper expounds a form of Popper's critical rationalism that locates the rationality of science entirely in the deductive processes by which conjectures are criticized and improved. But extreme forms of deductivism are rejected. The paper concludes with a sharp dismissal of the view that work in artificial intelligence, including the JSM method cultivated extensively by Victor Finn, does anything to upset critical rationalism. -
Abduction, Reason, and Science Abduction, Reason, and Science Processes of Discovery and Explanation
Abduction, Reason, and Science Abduction, Reason, and Science Processes of Discovery and Explanation Lorenzo Magnani University of Pavia Pavia, Italy, and Georgia Institute of Technology Atlanta, Georgia Springer Science+Business Media, LLC Library of Congress Cataloging-in-Publication Data Magnani, Lorenzo Abduction, reason, and ,cience: processes of discovcry and explanation/Lorenzo Magnani. p. cm. IncIudes bibliographical references and index. ISBN 978-1-4613-4637-1 ISBN 978-1-4419-8562-0 (eBook) DOI 10.1007/978-1-4419-8562-0 1. Science-Philosophy. 2. Abduction (Logic). 3. Discoveries in science. I. Tirle. Q175.32.A24 M34 2001 501-dc21 00-052061 Front cover: Descartes's explanation of the rainbow (from his Meteora, 1656). ISBN 978-1-4613-4637-1 © 2001 Springer Science+Business Media New York Originally published by Kluwer Academic / Plenum Publishers, New York in 2001 Softcover reprint of the hardcover 1st edition 1990 http://www.wkap.nl/ 1098765432 A c.I.P. record for this book is available from the Library of Congress. AII rights reserved No par! of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording, or otherwise, without wrilten permis sion from the Publisher To my daughter Giovanna Science does not rest upon solid bedrock. The bold structure of its theories rises, as it were, above a swamp. It is like a building erected on piles. The piles are driven down from above into the swamp, but not down to any natural or "given" base; and if we stop driving the piles deeper, it is not because we have reached firm ground. -
Notes on Hume's Problem of Induction 1748 - Inquiry Concerning Human Understanding
1740 - Treatise of Human Nature Notes on Hume's Problem of Induction 1748 - Inquiry Concerning Human Understanding Recall: Subject of confirmation = How scientific claims are justified. This assumes that they are capable of justification in the first place. Hume asks: Is there a rational basis for inductive inferences? Hume response: No! Consequence: To the extent that scientific claims are based on inductive inferences, they cannot be justified. Example: All observed ravens are black. Hume asks, Can we ever be justified in believing the conclusion? All ravens are black. Two types of objects of knowledge, according to Hume (I) Relations of ideas = Products of deductive (truth-preserving) Ex: 2 + 2 = 4 inferences; negation entails a contradiction. (II) Matters of fact = Products of inductive inferences; negation does Ex: All ravens are black. not entail a contradiction. Outline of Hume's Argument (1) Matters of fact can only be known through experience ("a posteriori"). (2) Therefore matters of fact can only be justified by recourse to experience. (3) But any attempt to do so is circular. ∴ There is no justification for inductive inferences. ASIDE 1. Hume is not just saying that we can never be certain about inductive inferences (i.e., we can never be 100% certain that all ravens are black). This would be uncontentious: Most people would agree that there's always room for error in making an inductive inference. However, most people would at the same time claim that we are justified in making (some) inductive inferences, even though they aren't 100% guaranteed to work (i.e., we think there are standards by which we can judge good inductive inferences from bad ones). -
The Naturalization of Natural Philosophy
philosophies Article The Naturalization of Natural Philosophy Joseph E. Brenner International Center for the Philosophy of Information, Xi’an Jiaotong University, Xi’An 710049, China; [email protected] Received: 29 August 2018; Accepted: 4 October 2018; Published: 24 November 2018 Abstract: A new demarcation is proposed between Natural Philosophy and non-Natural Philosophy—philosophy tout court—based on whether or not they follow a non-standard logic of real processes. This non-propositional logic, Logic in Reality (LIR), is based on the original work of the Franco-Romanian thinker Stéphane Lupasco (Bucharest, 1900–Paris, 1988). Many Natural Philosophies remain bounded by dependence on binary linguistic concepts of logic. I claim that LIR can naturalize—bring into science—part of such philosophies. Against the potential objection that my approach blurs the distinction between science and philosophy, I reply that there is no problem in differentiating experimental physical science and philosophy; any complete distinction between philosophy, including the philosophy of science(s) and the other sciences is invidious. It was historically unnecessary and is unnecessary today. The convergence of science and philosophy, proposed by Wu Kun based on implications of the philosophy of information, supports this position. LIR provides a rigorous basis for giving equivalent ontological value to diversity and identity, what is contradictory, inconsistent, absent, missing or past, unconscious, incomplete, and fuzzy as to their positive counterparts. The naturalized Natural Philosophy resulting from the application of these principles is a candidate for the ‘new synthesis’ called for by the editors. Keywords: common good; contradiction; ethics; information; logic; naturalization; realism; science; synthesis 1. -
Hume's Problem of Induction and the Universalization Of
In Defense of Newtonian Induction: Hume's Problem of Induction and the Universalization of Primary Qualities Ori Belkind November 1, 2018 Abstract This paper aims to advance two claims. First, it aims to show that Hume's argument against the rationality of induction is sound. However, I claim that the conclusion does not follow merely from the self-defeating attempts to justify the rule of induction, unlike traditional readings of the argument. Rather, the skeptical conclusion must also take into account Hume's argument that the secret powers that are present in bodies and give rise to sensible qualities are unknowable. The paper's second aim is to show that Newtonian induction escapes Hume's secret powers argument, given that it includes a transductive inference, from observable phenomena to the powers present in the ultimate parts of matter. Consequently Hume's argument against the rationality of induction does not demonstrate the non-rational nature of Newtonian induction. 1 Introduction This paper articulates a certain reading of Hume's argument against the rationality of induction. Unlike traditional interpretations of Hume's argument, mine takes his argument to involve two distinct sub-arguments; the first is that inductive inferences lack rational support. I term this sub-argument the No Rational Support Argument (NRSA) (Section 2). I also argue that Hume uses a second sub- argument, one I term the Secret Powers Argument, or SPA, to undermine our belief in the rationality of induction. According to the SPA (examined in Section 3), we do not have access to the secret powers of bodies. -
The Problem of Induction
The Problem of Induction Gilbert Harman Department of Philosophy, Princeton University Sanjeev R. Kulkarni Department of Electrical Engineering, Princeton University July 19, 2005 The Problem The problem of induction is sometimes motivated via a comparison between rules of induction and rules of deduction. Valid deductive rules are necessarily truth preserving, while inductive rules are not. So, for example, one valid deductive rule might be this: (D) From premises of the form “All F are G” and “a is F ,” the corresponding conclusion of the form “a is G” follows. The rule (D) is illustrated in the following depressing argument: (DA) All people are mortal. I am a person. So, I am mortal. The rule here is “valid” in the sense that there is no possible way in which premises satisfying the rule can be true without the corresponding conclusion also being true. A possible inductive rule might be this: (I) From premises of the form “Many many F s are known to be G,” “There are no known cases of F s that are not G,” and “a is F ,” the corresponding conclusion can be inferred of the form “a is G.” The rule (I) might be illustrated in the following “inductive argument.” (IA) Many many people are known to have been moral. There are no known cases of people who are not mortal. I am a person. So, I am mortal. 1 The rule (I) is not valid in the way that the deductive rule (D) is valid. The “premises” of the inductive inference (IA) could be true even though its “con- clusion” is not true. -
An Introduction to Philosophy
An Introduction to Philosophy W. Russ Payne Bellevue College Copyright (cc by nc 4.0) 2015 W. Russ Payne Permission is granted to copy, distribute and/or modify this document with attribution under the terms of Creative Commons: Attribution Noncommercial 4.0 International or any later version of this license. A copy of the license is found at http://creativecommons.org/licenses/by-nc/4.0/ 1 Contents Introduction ………………………………………………. 3 Chapter 1: What Philosophy Is ………………………….. 5 Chapter 2: How to do Philosophy ………………….……. 11 Chapter 3: Ancient Philosophy ………………….………. 23 Chapter 4: Rationalism ………….………………….……. 38 Chapter 5: Empiricism …………………………………… 50 Chapter 6: Philosophy of Science ………………….…..… 58 Chapter 7: Philosophy of Mind …………………….……. 72 Chapter 8: Love and Happiness …………………….……. 79 Chapter 9: Meta Ethics …………………………………… 94 Chapter 10: Right Action ……………………...…………. 108 Chapter 11: Social Justice …………………………...…… 120 2 Introduction The goal of this text is to present philosophy to newcomers as a living discipline with historical roots. While a few early chapters are historically organized, my goal in the historical chapters is to trace a developmental progression of thought that introduces basic philosophical methods and frames issues that remain relevant today. Later chapters are topically organized. These include philosophy of science and philosophy of mind, areas where philosophy has shown dramatic recent progress. This text concludes with four chapters on ethics, broadly construed. I cover traditional theories of right action in the third of these. Students are first invited first to think about what is good for themselves and their relationships in a chapter of love and happiness. Next a few meta-ethical issues are considered; namely, whether they are moral truths and if so what makes them so.