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  1. Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
    Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence, business, epidemiology, social science and economics.
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  • Dendral and meta-dendral: Their applications dimension.Bruce G. Buchanan & Edward A. Feigenbaum - 1978 - Artificial Intelligence 11 (1-2):5-24.
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  • Hypothesis, induction and background knowledge. Data do not speak for themselves. Replies to Donald A. Gillies, Lawrence A. Kelly and Michael Scott. [REVIEW]John F. Allen - 2001 - Bioessays 23 (9):861-862.
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  • Bioinformatics and discovery: induction beckons again.John F. Allen - 2001 - Bioessays 23 (1):104-107.
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  • Why the philosophy of science actually does matter.Adam S. Wilkins - 2001 - Bioessays 23 (1):1-2.
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  • DENDRAL: A case study of the first expert system for scientific hypothesis formation.Robert K. Lindsay, Bruce G. Buchanan, Edward A. Feigenbaum & Joshua Lederberg - 1993 - Artificial Intelligence 61 (2):209-261.
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  • On John Allen's critique of induction.Lawrence A. Kelley & Michael Scott - 2001 - Bioessays 23 (9):860-861.
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  • Causality: Models, Reasoning and Inference.Christopher Hitchcock & Judea Pearl - 2001 - Philosophical Review 110 (4):639.
    Judea Pearl has been at the forefront of research in the burgeoning field of causal modeling, and Causality is the culmination of his work over the last dozen or so years. For philosophers of science with a serious interest in causal modeling, Causality is simply mandatory reading. Chapter 2, in particular, addresses many of the issues familiar from works such as Causation, Prediction and Search by Peter Spirtes, Clark Glymour, and Richard Scheines. But philosophers with a more general interest in (...)
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  • Popper and computer induction.Donald A. Gillies - 2001 - Bioessays 23 (9):859-860.
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  • DENDRAL and Meta-DENDRAL: roots of knowledge systems and expert system applications.Edward A. Feigenbaum & Bruce G. Buchanan - 1993 - Artificial Intelligence 59 (1-2):233-240.
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  • The Growth of Biological Thought: Diversity, Evolution, and Inheritance.Ernst Mayr - 1982 - Harvard University Press.
    Explores the development of the ideas of evolutionary biology, particularly as affected by the increasing understanding of genetics and of the chemical basis of inheritance.
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  • Pluto's Republic.Peter Brian Medawar - 1982 - New York: Oxford University Press.
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  • Investigations.Stuart A. Kauffman - 2000 - Oxford University Press.
    A fascinating exploration of the very essence of life itself sheds new light on the order and evolution in complex life systems and defines and explains autonomous agents and work within the contexts of thermodynamics and information theory, setting the stage for a dramatic technological revolution. 50,000 first printing.
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  • Opening Pandora's Box: A Sociological Analysis of Scientists' Discourse.G. Nigel Gilbert & Michael Mulkay - 1984 - CUP Archive.
    This book proposes a fresh approach to sociological analysis and, in particular, to the analysis of scientific culture. It moves away from previous studies, which have tended to focus on scientists' actions and beliefs to show that analysis of scientific discourse can be productive and revealing. The book demonstrates that scientists produce varying accounts of their actions and beliefs in different social situations. Rather than attempting to extract one coherent interpretation from these diverse accounts, the study identifies two basic scientific (...)
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  • What Computers Still Can’T Do: A Critique of Artificial Reason.Hubert L. Dreyfus - 1992 - MIT Press.
    A Critique of Artificial Reason Hubert L. Dreyfus . HUBERT L. DREYFUS What Computers Still Can't Do Thi s One XZKQ-GSY-8KDG What. WHAT COMPUTERS STILL CAN'T DO Front Cover.
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  • Artificial Intelligence and Scientific Method.Donald Gillies - 1996 - Oxford and New York: Oxford University Press.
    Artificial Intelligence and Scientific Method examines the remarkable advances made in the field of AI over the past twenty years, discussing their profound implications for philosophy. Taking a clear, non-technical approach, Donald Gillies shows how current views on scientific method are challenged by this recent research, and suggests a new framework for the study of logic. Finally, he draws on work by such seminal thinkers as Bacon, Gdel, Popper, Penrose, and Lucas, to address the hotly-contested question of whether computers might (...)
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  • The arch of knowledge: an introductory study of the history of the philosophy and methodology of science.David Roger Oldroyd - 1986 - New York: Methuen.
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  • The Growth of Biological Thought: Diversity, Evolution, and Inheritance. [REVIEW]Ernst Mayr - 1985 - Journal of the History of Biology 18 (1):145-153.
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  • Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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  • Artificial Intelligence and Scientific Method.Donald Gillies, Robert Cummins & John Pollock - 1997 - British Journal for the Philosophy of Science 48 (4):610-612.
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  • Can a biologist fix a radio?—Or, what I learned while studying apoptosis.Yuri Lazebnik - 2002 - Cancer Cell 2:179-182.
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  • Opening Pandora's Box. A sociological analysis of scientists' discourse.G. Nigel Gilbert & Michael Mulkay - 1985 - Revue Philosophique de la France Et de l'Etranger 175 (1):70-71.
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