Mind Computation

Nonfiction, Computers, Advanced Computing, Theory, Artificial Intelligence, General Computing
Cover of the book Mind Computation by Zhongzhi Shi, World Scientific Publishing Company
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Author: Zhongzhi Shi ISBN: 9789813145825
Publisher: World Scientific Publishing Company Publication: February 17, 2017
Imprint: WSPC Language: English
Author: Zhongzhi Shi
ISBN: 9789813145825
Publisher: World Scientific Publishing Company
Publication: February 17, 2017
Imprint: WSPC
Language: English

Mind computation is a hot topic of intelligence science. It is explored by computing to explain the theoretical basis of human intelligence. Through long-term research, a mind model CAM (Consciousness and Memory) is proposed, which provides a general framework for brain-like intelligence and brain-like intelligent systems.

This novel book centers on mind model CAM, systematically discusses the theoretical basis of mind computation in nine chapters. Because of its advanced progresses on brain-like intelligence, it is useful as a primary reference volume for professionals and graduate students in intelligence science, cognitive science and artificial intelligence.

Contents:

  • Introduction
  • Mind Model CAM
  • Memory
  • Consciousness
  • Visual Perception
  • Motor Control
  • Language Cognition
  • Learning
  • Brain-Like Computing

Readership: Researchers, academics, professionals and graduate students in artificial intelligence, machine learning, robotics and automated systems and neural networks.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Mind computation is a hot topic of intelligence science. It is explored by computing to explain the theoretical basis of human intelligence. Through long-term research, a mind model CAM (Consciousness and Memory) is proposed, which provides a general framework for brain-like intelligence and brain-like intelligent systems.

This novel book centers on mind model CAM, systematically discusses the theoretical basis of mind computation in nine chapters. Because of its advanced progresses on brain-like intelligence, it is useful as a primary reference volume for professionals and graduate students in intelligence science, cognitive science and artificial intelligence.

Contents:

Readership: Researchers, academics, professionals and graduate students in artificial intelligence, machine learning, robotics and automated systems and neural networks.

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