Associative learning for a robot intelligence /

"The explanation of brain functioning in terms of the association of ideas has been popular since the 17th century. Recently, however, the process of association has been dismissed as computationally inadequate by prominent cognitive scientists. In this book, a sharper definition of the term as...

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Bibliographic Details
Main Authors: Andreae, John H. John Hugh, 1927
Corporate Authors: World Scientific Firm
Published: Imperial College Press ; Distributed by World Scientific Pub. Co.,
Publisher Address: London : Singapore :
Publication Dates: 1998.
Literature type: eBook
Language: English
Subjects:
Online Access: http://www.worldscientific.com/worldscibooks/10.1142/P113#t=toc
Summary: "The explanation of brain functioning in terms of the association of ideas has been popular since the 17th century. Recently, however, the process of association has been dismissed as computationally inadequate by prominent cognitive scientists. In this book, a sharper definition of the term association is used to revive the process by showing that associative learning can indeed be computationally powerful. Within an appropriate organization, associative learning can be embodied in a robot to realize a human-like intelligence, which sets its own goals, exhibits unique unformalizable behavio
Item Description: "With robotic cats by Gillian M. Andreae."
Carrier Form: 1 online resource (x,348pages) : illustrations
Bibliography: Includes bibliographical references (pages 319-328) and index.
ISBN: 9781848160590
Index Number: TJ211
CLC: TP242.6
Contents: Preamble -- ch. 1. Associative learning -- ch.2. The BunPie microworld -- ch.3. Designing templates -- ch.4. Numbers in the head -- ch.5. Universal Turing machine -- ch.6. Communicating intentions -- ch.7. Consciousness before language -- ch.8. An hierarchical task -- ch.9. Stress and disapproval -- ch.10. Painted vision -- ch. 11. Cooperation -- ch.12. Turn-taking -- ch.13. Climbing a tree or building a rocket.