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Bayesian Models Cognition Reverse by Griffiths Thomas (19 results)
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hardcover. Condition: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.
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Bayesian Models of Cognition: Reverse Engineering the Mind
Language: English
Published by The MIT Press Bookstore, 2024
ISBN 10: 0262049414 ISBN 13: 9780262049412
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Bayesian Models of Cognition: Reverse Engineering the Mind
Language: English
Published by The MIT Press Bookstore, 2024
ISBN 10: 0262049414 ISBN 13: 9780262049412
Condition: New.
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Condition: New.
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Bayesian Models of Cognition: Reverse Engineering the Mind
Language: English
Published by The MIT Press Bookstore, 2024
ISBN 10: 0262049414 ISBN 13: 9780262049412
Condition: New.
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hardcover. Condition: New.
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Hardcover. Condition: Brand New. 672 pages. 10.00x8.00x10.25 inches. In Stock.
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Bayesian Models of Cognition: Reverse Engineering the Mind
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2024. hardcover. . . . . .
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Bayesian Models of Cognition: Reverse Engineering the Mind
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Bayesian Models of Cognition: Reverse Engineering the Mind
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Bayesian Models of Cognition : Reverse Engineering the Mind
Language: English
Published by MIT Press Ltd Nov 2024, 2024
ISBN 10: 0262049414 ISBN 13: 9780262049412
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.
