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Hardcover. Condition: new. Hardcover. The definitive introduction to Bayesian cognitive science, written by pioneers of the field.The definitive introduction to Bayesian cognitive science, written by pioneers of the field.How does human intelligence work, in engineering terms? How do our minds get so much from so little? Bayesian models of cognition provide a powerful framework for answering these questions by reverse-engineering the mind. This textbook offers an authoritative introduction to Bayesian cognitive science and a unifying theoretical perspective on how the mind works. Part I provides an introduction to the key mathematical ideas and illustrations with examples from the psychological literature, including detailed derivations of specific models and references that can be used to learn more about the underlying principles. Part II details more advanced topics and their applications before engaging with critiques of the reverse-engineering approach. Written by experts at the forefront of new research, this comprehensive text brings the fields of cognitive science and artificial intelligence back together and establishes a firmly grounded mathematical and computational foundation for the understanding of human intelligence.The only textbook comprehensively introducing the Bayesian approach to cognitionWritten by pioneers in the fieldOffers cutting-edge coverage of Bayesian cognitive science's research frontiersSuitable for advanced undergraduate and graduate students and researchers across the sciences with an interest in the mind, brain, and intelligenceFeatures short tutorials and case studies of specific Bayesian models "The definitive work on the Bayesian approach to Cognitive Science and an important work in understanding the mind and the brain"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New. Thomas L. Griffiths is Henry R. Luce Professor of Information Technology, Consciousness and Culture in the Departments of Psychology and Computer Science at Princeton University and coauthor of Algorithms to Live By: The Computer Science of Human .
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Buch. Condition: Neu. Neuware - The definitive introduction to Bayesian cognitive science, written by pioneers of the field.How does human intelligence work, in engineering terms How do our minds get so much from so little Bayesian models of cognition provide a powerful framework for answering these questions by reverse-engineering the mind. This textbook offers an authoritative introduction to Bayesian cognitive science and a unifying theoretical perspective on how the mind works. Part I provides an introduction to the key mathematical ideas and illustrations with examples from the psychological literature, including detailed derivations of specific models and references that can be used to learn more about the underlying principles. Part II details more advanced topics and their applications before engaging with critiques of the reverse-engineering approach. Written by experts at the forefront of new research, this comprehensive text brings the fields of cognitive science and artificial intelligence back together and establishes a firmly grounded mathematical and computational foundation for the understanding of human intelligence. - The only textbook comprehensively introducing the Bayesian approach to cognition- Written by pioneers in the field- Offers cutting-edge coverage of Bayesian cognitive science's research frontiers - Suitable for advanced undergraduate and graduate students and researchers across the sciences with an interest in the mind, brain, and intelligence - Features short tutorials and case studies of specific Bayesian models.