Mind Computation
Nonfiction, Computers, Advanced Computing, Theory, Artificial Intelligence, General Computing
| 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.
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.
