Neural Network Perspectives on Cognition and Adaptive Robotics

A Browne

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Hardback

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English

Institute of Physics Publishing
01 January 1997

Neural networks & fuzzy systems

Featuring an international team of authors, Neural Network Perspectives on Cognition and Adaptive Robotics presents several approaches to the modeling of human cognition and language using neural computing techniques. It also describes how adaptive robotic systems can be produced using neural network architectures. Covering a wide range of mainstream area and trends, each chapter provides the latest information from a different perspective.

Edited by: A Browne
Imprint: Institute of Physics Publishing
Country of Publication: United Kingdom
Dimensions: Height: 235mm, Width: 187mm, Spine: 22mm
Weight: 566g
ISBN: 9780750304559
ISBN 10: 0750304553
Pages: 270
Publication Date: 01 January 1997
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Part 1 Representation: Challenges for neural computing. Representing structure and structured representations in connectionist networks. Chaos, dynamics and computational power in biologically plausible neural networks. Information-theoretic approaches to neural network learning. Part 2 Cognitive modelling: Exploring different approaches towards everyday commonsense reasoning. Natural language processing with subsymbolic neural networks. The relational mind. Neuroconsciousness: a fundamental postulate. Part 3 Adaptive robotics: The neural mind and the robot. Teaching a robot to see how it moves. Designing a nervous system for an adaptive mobile robot.

Antony Browne