PDF Download Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems (The MIT Press)

PDF Download Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems (The MIT Press) Intelligence Emerging: Adaptivity And ...

PDF Download Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems (The MIT Press)

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Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems (The MIT Press)

Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems (The MIT Press)


Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems (The MIT Press)


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Intelligence Emerging: Adaptivity and Search in Evolving Neural Systems (The MIT Press)

Review

In this deep and broad book, Downing takes up the challenge of explaining how intelligence emerges, in the evolutionary, developmental, and learning senses. Drawing together evidence from neuroscience, computational neuroscience, classical AI, and connectionism, Downing focuses on search and representation as defining activities of intelligence, and as critical prerequisites to emergence in both the human brain and in computational models. This is a detailed and rich approach that will serve as an example of careful thought and scholarship in this area. Moreover, Downing's work will provide a strong technical foundation for continued scientific analysis of the emergence of intelligence.―Jeff Shrager, Senior Fellow, CommerceNet; Consulting Professor of Symbolic Systems, Stanford UniversityEarly on in the book Downing formulates his ambition: to bring emergence to the forefront and to keep it there. The result is an impressively wide-ranging and engaging exploration of complex adaptive systems in three time frames: evolution, development, and learning. I warmly recommend this book to anyone with a serious interest in embodied cognition and bio-inspired artificial intelligence.―Tom Ziemke, Professor of Cognitive Science, University of Skövde and Linköping University, SwedenIn this refreshing and forward-thinking exploration of natural and artificial intelligence, Keith Downing focuses on the emergence of adaptive complexity in learning, development, and evolution. While the discussion is rooted in traditional concepts of search and representation, the book charts an ambitious path for biologically inspired artificial intelligence in the future.―Lee Spector, Professor of Computer Science, Hampshire College; author of Automatic Quantum ComputerProgramming: A Genetic Programming Approach; Editor-in-chief of Genetic Programming and Evolvable Machines

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About the Author

Keith L. Downing is Professor of Artificial Intelligence at the Norwegian University of Science and Technology and an Affiliate Scholar in the Neuroscience Department at Oberlin College.

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Product details

Series: The MIT Press

Hardcover: 504 pages

Publisher: The MIT Press; 1 edition (May 29, 2015)

Language: English

ISBN-10: 0262029138

ISBN-13: 978-0262029131

Product Dimensions:

7 x 1.1 x 9 inches

Shipping Weight: 2.1 pounds (View shipping rates and policies)

Average Customer Review:

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Amazon Best Sellers Rank:

#1,678,520 in Books (See Top 100 in Books)

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