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More About This Textbook
Overview
By applying research in artificial intelligence to problems in the philosophy of science, Paul Thagard develops an exciting new approach to the study of scientific reasoning. This approach uses computational ideas to shed light on how scientific theories are discovered,evaluated, and used in explanations. Thagard describes a detailed computational model of problem solving and discovery that provides a conceptually rich yet rigorous alternative to accounts of scientific knowledge based on formal logic, and he uses it to illuminate such topics as the nature of concepts, hypothesis formation, analogy, and theory justification.Paul Thagard is Professor ofPhilosophy at the University of Waterloo.
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From the Publisher
"The writing reflects an enviable clarity of thought and economy of expression.Thagard has a remarkable ability to reduce complicated philosophical positions to their essential simplicity and state them in clear, flowing arguments....To say that I liked this book would be an egregious understatement. Indeed, I read it twice and enthusiastically underlined nearly half of it in the process.... The must-read book of the year." J. M. Artz, Computing Reviews
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Meet the Author
Paul Thagard is Professor of Philosophy at the University of Waterloo, Ontario. He is the author of Mind: Introduction to Cognitive Science and Hot Thought: Mechanisms and Applications of Emotional Cognition, both published by the MIT Press, and other books.
Table of Contents
Acknowledgments
1 Computation and the Philosophy of Science
2 The Structure of Scientific Knowledge
3 Theories and Explanations
4 Discovery and the Emergence of Meaning
5 Theory Evaluation
6 Against Evolution Epistemology
7 From the Descriptive to the Normative
8 Justification and Truth
9 Pseudoscience
10 The Process of Inquiry: Projects for Computational Philosophy
Appendix 1: Tutorials
Appendix 2: Specification of PI
Appendix 3: Sample Run of PI
References
Index