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  1. Artificial Intelligence: A Modern Approach.Stuart Jonathan Russell & Peter Norvig (eds.) - 1995 - Prentice-Hall.
    Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence. According to an article in The New York Times, the course on artificial intelligence is (...)
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  • (2 other versions)On the Very Idea of a Conceptual Scheme.Donald Davidson - 2011 - In Robert B. Talisse & Scott F. Aikin (eds.), The Pragmatism Reader: From Peirce Through the Present. Princeton University Press. pp. 286-298.
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  • Introduction to Logical Theory.P. F. Strawson - 1954 - Philosophy 29 (108):78-80.
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  • The Scientific Image.William Demopoulos & Bas C. van Fraassen - 1982 - Philosophical Review 91 (4):603.
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  • (2 other versions)Introduction to Logical Theory.Peter Frederick Strawson - 1952 - London, England: Routledge.
    First published in 1952, professor’s Strawson’s highly influential _Introduction_ _to Logical Theory_ provides a detailed examination of the relationship between the behaviour of words in common language and the behaviour of symbols in a logical system. He seeks to explain both the exact nature of the discipline known as Formal Logic, and also to reveal something of the intricate logical structure of ordinary unformalised discourse.
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  • Accuracy and the Laws of Credence.Richard Pettigrew - 2016 - New York, NY.: Oxford University Press UK.
    Richard Pettigrew offers an extended investigation into a particular way of justifying the rational principles that govern our credences. The main principles that he justifies are the central tenets of Bayesian epistemology, though many other related principles are discussed along the way. Pettigrew looks to decision theory in order to ground his argument. He treats an agent's credences as if they were a choice she makes between different options, gives an account of the purely epistemic utility enjoyed by different sets (...)
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  • (3 other versions)Inference to the Best Explanation.Peter Lipton - 1991 - London and New York: Routledge.
    How do we go about weighing evidence, testing hypotheses, and making inferences? According to the model of _Inference to the Best Explanation_, we work out what to infer from the evidence by thinking about what would actually explain that evidence, and we take the ability of a hypothesis to explain the evidence as a sign that the hypothesis is correct. In _Inference to the Best Explanation_, Peter Lipton gives this important and influential idea the development and assessment it deserves. The (...)
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  • (1 other version)Gender and the Biological Sciences.Kathleen Okruhlik - 1994 - Canadian Journal of Philosophy, Supplementary Volume 20:21-42.
    Feminist critiques of science provide fertile ground for any investigation of the ways in which social influences may shape the content of science. Many authors working in this field are from the natural and social sciences; others are philosophers. For philosophers of science, recent work on sexist and androcentric bias in science raises hard questions about the extent to which reigning accounts of scientific rationality can deal successfully with mounting evidence that gender ideology has had deep and extensive effects on (...)
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  • (1 other version)Gender and the Biological Sciences.Kathleen Okruhlik - 1994 - Canadian Journal of Philosophy, Supplementary Volume 20 (sup1):21-42.
    Feminist critiques of science provide fertile ground for any investigation of the ways in which social influences may shape the content of science. Many authors working in this field are from the natural and social sciences; others are philosophers. For philosophers of science, recent work on sexist and androcentric bias in science raises hard questions about the extent to which reigning accounts of scientific rationality can deal successfully with mounting evidence that gender ideology has had deep and extensive effects on (...)
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  • Acceptance, Values, and Inductive Risk.Daniel Steel - 2013 - Philosophy of Science 80 (5):818-828.
    The argument from inductive risk attempts to show that practical and ethical costs of errors should influence standards of evidence for accepting scientific claims. A common objection charges that this argument presupposes a behavioral theory of acceptance that is inappropriate for science. I respond by showing that the argument from inductive risk is supported by a nonbehavioral theory of acceptance developed by Cohen, which defines acceptance in terms of premising. Moreover, I argue that theories designed to explain how acceptance can (...)
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  • The Structure of Scientific Revolutions and its Significance: An Essay Review of the Fiftieth Anniversary Edition. [REVIEW]Alexander Bird - 2012 - British Journal for the Philosophy of Science 63 (4):859-883.
    Kuhn’s Structure of Scientific Revolutions is one of the most cited books of the twentieth century. Its iconic and controversial nature has obscured its message. What did Kuhn really intend with Structure and what is its real significance? -/- 1 Introduction -/- 2 The Central Ideas of Structure -/- 3 The Philosophical Targets of Structure -/- 4 Interpreting and Misinterpreting Structure -/- 4.1 Naturalism -/- 4.2 World-change -/- 4.3 Incommensurability -/- 4.4 Progress and the nature of revolutionary change -/- 4.5 (...)
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  • Science, Policy, and the Value-Free Ideal.Heather Douglas - 2009 - University of Pittsburgh Press.
    Douglas proposes a new ideal in which values serve an essential function throughout scientific inquiry, but where the role values play is constrained at key points, protecting the integrity and objectivity of science.
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  • Science as Social Knowledge: Values and Objectivity in Scientific Inquiry.Helen E. Longino - 1990 - Princeton University Press.
    This is an important book precisely because there is none other quite like it.
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  • (2 other versions)Values in Science.Ernan McMullin - 1982 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982 (4):3-28.
    This paper argues that the appraisal of theory is in important respects closer in structure to value-judgement than it is to the rule-governed inference that the classical tradition in philosophy of science took for granted.
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  • (2 other versions)On the Very Idea of a Conceptual Scheme.Donald Davidson - 1973 - Proceedings and Addresses of the American Philosophical Association 47:5-20.
    Davidson attacks the intelligibility of conceptual relativism, i.e. of truth relative to a conceptual scheme. He defines the notion of a conceptual scheme as something ordering, organizing, and rendering intelligible empirical content, and calls the position that employs both notions scheme-content dualism. He argues that such dualism is untenable since: not only can we not parcel out empirical content sentence per sentence but also the notion of uninterpreted content to which several schemes are relative, and the related notion of a (...)
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  • (4 other versions)The Structure of Scientific Revolutions.Thomas Samuel Kuhn - 1962 - Chicago: University of Chicago Press. Edited by Otto Neurath.
    A scientific community cannot practice its trade without some set of received beliefs. These beliefs form the foundation of the "educational initiation that prepares and licenses the student for professional practice". The nature of the "rigorous and rigid" preparation helps ensure that the received beliefs are firmly fixed in the student's mind. Scientists take great pains to defend the assumption that scientists know what the world is like...To this end, "normal science" will often suppress novelties which undermine its foundations. Research (...)
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  • Does the distinction between normal and revolutionary science hold water?Stephen Toulmin - 1970 - In Imre Lakatos & Alan Musgrave (eds.), Criticism and the growth of knowledge. Cambridge [Eng.]: Cambridge University Press. pp. 39--47.
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  • (1 other version)The Fate of Knowledge.Helen E. Longino - 2001 - Princeton University Press.
    "--Richard Grandy, Rice University "This is the first compelling diagnosis of what has gone awry in the raging 'science wars.
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  • The scientific image.C. Van Fraassen Bas - 1980 - New York: Oxford University Press.
    In this book van Fraassen develops an alternative to scientific realism by constructing and evaluating three mutually reinforcing theories.
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  • Fear of knowledge: against relativism and constructivism.Paul Artin Boghossian - 2006 - New York: Oxford University Press.
    Relativist and constructivist conceptions of knowledge have become orthodoxy in vast stretches of the academic world in recent times. This book critically examines such views and argues that they are fundamentally flawed. The book focuses on three different ways of reading the claim that knowledge is socially constructed, one about facts and two about justification. All three are rejected. The intuitive, common sense view is that there is a way things are that is independent of human opinion, and that we (...)
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  • (4 other versions)The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - Chicago, IL: University of Chicago Press. Edited by Ian Hacking.
    Thomas S. Kuhn's classic book is now available with a new index.
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  • The Scientist Qua Scientist Makes Value Judgments.Richard Rudner - 1953 - Philosophy of Science 20 (1):1-6.
    The question of the relationship of the making of value judgments in a typically ethical sense to the methods and procedures of science has been discussed in the literature at least to that point which e. e. cummings somewhere refers to as “The Mystical Moment of Dullness.” Nevertheless, albeit with some trepidation, I feel that something more may fruitfully be said on the subject.
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  • Introduction: Machine learning as philosophy of science.Kevin B. Korb - 2004 - Minds and Machines 14 (4):433-440.
    I consider three aspects in which machine learning and philosophy of science can illuminate each other: methodology, inductive simplicity and theoretical terms. I examine the relations between the two subjects and conclude by claiming these relations to be very close.
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  • (2 other versions)Introduction to Logical Theory.P. F. Strawson - 1952 - New York,: Routledge.
    First published in 1952, professor Strawsonâes highly influential Introduction to Logical Theory provides a detailed examination of the relationship between the behaviour of words in common language and the behaviour of symbols in a logical system. He seeks to explain both the exact nature of the discipline known as Formal Logic, and also to reveal something of the intricate logical structure of ordinary unformalised discourse.
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  • How Gruesome are the No-free-lunch Theorems for Machine Learning?Davor Lauc - 2018 - Croatian Journal of Philosophy 18 (3):479-485.
    No-free-lunch theorems are important theoretical result in the fields of machine learning and artificial intelligence. Researchers in this fields often claim that the theorems are based on Hume’s argument about induction and represent a formalisation of the argument. This paper argues that this is erroneous but that the theorems correspond to and formalise Goodman’s new riddle of induction. To demonstrate the correspondence among the theorems and Goodman’s argument, a formalisation of the latter in the spirit of the former is sketched.
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  • Current Controversies in Values and Science.Kevin Christopher Elliott & Daniel Steel (eds.) - 2016 - New York: Routledge.
    _Current Controversies in Values and Science_ asks ten philosophers to debate five questions that are driving contemporary work in this important area of philosophy of science. The book is perfect for the advanced student, building up her knowledge of the foundations of the field while also engaging its most cutting-edge questions. Introductions and annotated bibliographies for each debate, preliminary descriptions of each chapter, study questions, and a supplemental guide to further controversies involving values in science help provide clearer and richer (...)
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  • Simplicity As Evidence of Truth.Richard Swinburne - 1997 - Milwaukee: Marquette University Press.
    Content Description #"Under the auspices of the Wisconsin-Alpha Chapter of Phi Sigma Tau."#Includes bibliographical references.
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  • (1 other version)Inference to the Best explanation.Peter Lipton - 2005 - In Martin Curd & Stathis Psillos (eds.), The Routledge Companion to Philosophy of Science. New York: Routledge. pp. 193.
    Science depends on judgments of the bearing of evidence on theory. Scientists must judge whether an observation or the result of an experiment supports, disconfirms, or is simply irrelevant to a given hypothesis. Similarly, scientists may judge that, given all the available evidence, a hypothesis ought to be accepted as correct or nearly so, rejected as false, or neither. Occasionally, these evidential judgments can be made on deductive grounds. If an experimental result strictly contradicts a hypothesis, then the truth of (...)
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  • Cognitive and Non-Cognitive Values in Science: Rethinking the Dichotomy.Helen E. Longino - 1996 - In Lynn Hankinson Nelson & Jack Nelson (eds.), Feminism, Science, and the Philosophy of Science. pp. 39--58.
    Underdetermination arguments support the conclusion that no amount of empirical data can uniquely determine theory choice. The full content of a theory outreaches those elements of it (the observational elements) that can be shown to be true (or in agreement with actual observations).2 A number of strategies have been developed to minimize the threat such arguments pose to our aspirations to scientific knowledge. I want to focus on one such strategy: the invocation of additional criteria drawn from a pool of (...)
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  • (3 other versions)Inference to the best explanation.Peter Lipton - 1991 - New York: Routledge.
    "How do we go about weighing evidence, testing hypotheses and making inferences? According to the model of 'inference to the Best explanation', we work out what to inter from the evidence by thinking about what would actually explain that evidence, and we take the ability of a hypothesis to explain the evidence as a sign that the hypothesis is correct. In inference to the Best Explanation, Peter Lipton gives this important and influential idea the development and assessment it deserves." "The (...)
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  • Is Science Value Free?: Values and Scientific Understanding.Hugh Lacey - 1999 - New York: Routledge.
    Exploring the role of values in scientific inquiry, Hugh Lacey examines the nature and meaning of values, and looks at challenges to the view, posed by postmodernists, feminists, radical ecologists, Third-World advocates and religious fundamentalists, that science is value free. He also focuses on discussions of 'development', especially in Third World countries. This paperback edition includes a new preface.
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  • (2 other versions)Values in science.Ernan McMullin - 2012 - Zygon 47 (4):686-709.
    In this essay, which was his presidential address to the Philosophy of Science Association, Ernan McMullin argued that the watershed between “classic” philosophy of science and the “new” philosophy of science can best be understood by analyzing the change in our perception of the role played by values in science. He begins with some general remarks about the nature of value, goes on to explore some of the historical sources for the claim that judgement in science is value‐laden, and concludes (...)
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  • (1 other version)The Importance of Feminist Critique for Contemporary Cell Biology.the Biology Group & Gender Study - 1988 - Hypatia 3 (1):61-76.
    Biology is seen not merely as a privileged oppressor of women but as a co-victim of masculinist social assumptions. We see feminist critique as one of the normative controls that any scientist must perform whenever analyzing data, and we seek to demonstrate what has happened when this control has not been utilized. Narratives of fertilization and sex determination traditionally have been modeled on the cultural patterns of male/female interaction, leading to gender associations being placed on cells and their components. We (...)
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  • Science and Relativism: Some key controversies in the philosophy of science.Larry Laudan - 1990 - University of Chicago Press.
    Some Key Controversies in the Philosophy of Science Larry Laudan. the mouths of my realist, relativist, and positivist. (By contrast, there is at least one person who hews to the line I have my prag- matist defending.) But I have gone to some  ...
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  • On the seriousness of mistakes.Isaac Levi - 1962 - Philosophy of Science 29 (1):47-65.
    Several authors have recently contended that modern statistical theory provides a powerful argument in favor of the view that if scientists accept or reject hypotheses at all they do so only in a behavioral sense--i.e., in a sense which reduces "accepting P" to "acting on the basis of P relative to an objective O". In this paper, the argument from statistics in favor of a behavioral view is outlined; an interpretation of two statistical procedures (Bayes method and signifigance testing) is (...)
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  • (1 other version)The Importance of Feminist Critique for Contemporary Cell Biology.The Biology & Gender Study Group - 2002 - In Janet A. Kourany (ed.), The Gender of Science. Prentice-Hall. pp. 192-202.
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