ABSTRACT
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.
TABLE OF CONTENTS
part 1|90 pages
Representation
part 2|75 pages
Cognitive Modelling
part 3|84 pages
Adaptive Robotics