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portada Mind Design Iii: Philosophy, Psychology, and Artificial Intelligence (Mind Design, 3)
Type
Physical Book
Publisher
Language
English
Format
Paperback
ISBN13
9780262546577

Mind Design Iii: Philosophy, Psychology, and Artificial Intelligence (Mind Design, 3)

Haugeland John,Craver Carl F.,Klein Colin (Author) · Mit Pr · Paperback

Mind Design Iii: Philosophy, Psychology, and Artificial Intelligence (Mind Design, 3) - Haugeland John,Craver Carl F.,Klein Colin

New Book

£ 58.99

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Thursday, July 18 and Thursday, July 25.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Mind Design Iii: Philosophy, Psychology, and Artificial Intelligence (Mind Design, 3)"

The essential reader on the philosophical foundations and implications of artificial intelligence, now comprehensively updated for the twenty-first century. In the quarter century since the publication of John Haugeland's Mind Design II, computer scientists have hit many of their objectives for successful artificial intelligence. Computers beat chess grandmasters, driverless cars navigate streets, autonomous robots vacuum our homes, and ChatGPT answers existential queries in iambic pentameter on command. Engineering has made incredible strides. But have we made progress in understanding and building minds? Comprehensively updated by Carl Craver and Colin Klein to reflect the astonishing ubiquity of machine learning in modern life, Mind Design III offers an essential collection of classic and contemporary essays on the philosophical foundations and implications of artificial intelligence. Contributions from a diverse range of philosophers and computer scientists address the nature of computation, the nature of thought, and the question of whether computers can be made to think. With extensive new material reflecting the explosive growth and diversification of AI approaches, this classic reader equips students to assess the possibility of, and progress toward, building minds out of computers. New edition highlights: New chapters on advances in deep neural networks, reinforcement learning, and causal learningNew material on the complementary intersection of neuroscience and AIOrganized thematically rather than chronologically Brand new introductions to each section that include suggestions for coursework and further reading

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