Cognitive science is the interdisciplinary study of mind and intelligence, embracing psychology, philosophy, artificial intelligence, neuroscience, linguistics, and anthropology. Paul Thagard's accessible, concise, and integrated text presupposes no special preparation in any of these fields. Thagard systematically describes and evaluates the main computational theories of mental representation that have been advocated by cognitive scientists, including logic, rules, concepts, analogies, images, and connections (neural networks). He considers the major challenges to the computational-representational view of mind and discusses emotions, consciousness, physical and social environments, dynamical systems, and mathematical knowledge. Teaching cognitive science is difficult, Thagard observes, because students come to this multidisciplinary subject with widely different competencies, backgrounds, and interests. Mind solves this dilemma by making logic comprehensible to psychology students, computer algorithms comprehensible to English students, and philosophical controversies comprehensible to computer science students. Each chapter concludes with helpful summaries, discussion questions, and suggestions for further reading. Mind is ideal for introductory courses on Cognitive Science, and is also useful as a supplement to courses on cognitive psychology, educational psychology, philosophy of mind, and artificial intelligence.

Acknowledgments I Approaches to Cognitive Science Representation and Computation Studying the Mind What Do You Know? Beginnings Methods in Cognitive Science The Computational-Representational Understanding of Mind Theories, Models, and Programs Evaluating Approaches to Mental Representation Summary Discussion Questions Further Reading Notes 2 Logic Representational Power Computational Power Problem Solving Learning Language Psychological Plausibility Neurological Plausibility Practical Applicability Summary Discussion Questions Further Reading Notes 3 Rules Representational Power Computational Power Problem Solving Learning Language Psychological Plausibility Neurological Plausibility Practical Applicability Summary Discussion Questions Further Reading Notes 4 Concepts Representational Power Computational Power Problem Solving Learning Language Psychological Plausibility Neurological Plausibility Practical Applicability Summary Discussion Questions Further Reading Notes 5 Analogies Representational Power Computational Power Problem Solving Learning Language Psychological Plausibility Neurological Plausibility Practical Applicability Summary Discussion Questions Further Reading Notes 6 Images Vision Representational Power Computational Power Problem Solving Learning Language Psychological Plausibility Neurological Plausibility Practical Applicability Summary Discussion Questions Further Reading Notes 7 Connections Representational Power Computational Power Problem Solving Learning Language Psychological Plausibility Neurological Plausibility Practical Applicability Summary Discussion Questions Further Reading Notes 8 Review and Evaluation The Achievements of Cognitive Science Comparative Evaluation Representational Power Computational Power Psychological Plausibility Neurological Plausibility Practical Applicability Challenges to Cognitive Science Summary Discussion Questions II Challenges to Cognitive Science 9 Emotions and Consciousness The Mind-Body Problem The Emotion Challenge Responses to the Emotion Challenge Denial Expand CRUM Supplement CRUM The Consciousness Challenge Responses to the Consciousness Challenge Denial Expand CRUM Supplement CRUM Abandon CRUM Summary Discussion Questions Further Reading Notes 10 Physical and Social Environments The World Challenge Being-in-the-World Robotics Situated Action The Body and Direct Perception Intentionality Responses to the World Challenge Denial Expand CRUM Supplement CRUM Abandon CRUM The Social Challenge Social Epistemology Distributed Cognition Distributed Artificial Intelligence Culture and the Social Construction of Knowledge Responses to the Social Challenge Denial Expand CRUM Supplement CRUM Abandon CRUM Summary Discussion Questions Further Reading Notes 11 Dynamic Systems and Mathematical Knowledge The Dynamic Systems Challenge Responses to the Dynamic Systems Challenge Denial Expand and Supplement CRUM The Mathematics Challenge Responses to the Mathematics Challenge Denial Expand CRUM Supplement CRUM Summary Discussion Questions Further Reading Notes 12 The Future of Cognitive Science Integrations Your Future in Cognitive Science Summary Discussion Questions Further Reading Appendix: Resources in Cognitive Science Reference Works Journals Interdisciplinary Philosophy Psychology Artificial Intelligence Neuroscience Linguistics Anthropology and Sociology Organizations Conference Proceedings Publishers Internet

Paul Thagard is Professor of Philosophy, Psychology, and Computer Science, and Director of the Cognitive Science Program at the University of Waterloo. He is the author of Coherence in Thought and Action (MIT Press, 2000) and Mind: Introduction to Cognitive Science (second edition, MIT Press, 2005).

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