Advances in the Evolutionary Synthesis of Intelligent Agents

Patel, M., et al. (eds)

ISBN 10: 0262162016 / ISBN 13: 9780262162012

Editore: The MIT Press, 2001

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Dust jacket in good condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9780262162012. Codice articolo 9604880

Riassunto:

This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning.

Among the first uses of the computer was the development of programs to model perception, reasoning, learning, and evolution. Further developments resulted in computers and programs that exhibit aspects of intelligent behavior. The field of artificial intelligence is based on the premise that thought processes can be computationally modeled. Computational molecular biology brought a similar approach to the study of living systems. In both cases, hypotheses concerning the structure, function, and evolution of cognitive systems (natural as well as synthetic) take the form of computer programs that store, organize, manipulate, and use information.

Systems whose information processing structures are fully programmed are difficult to design for all but the simplest applications. Real-world environments call for systems that are able to modify their behavior by changing their information processing structures. Cognitive and information structures and processes, embodied in living systems, display many effective designs for biological intelligent agents. They are also a source of ideas for designing artificial intelligent agents. This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning.

The book is organized around four topics: the power of evolution to determine effective solutions to complex tasks, mechanisms to make evolutionary design scalable, the use of evolutionary search in conjunction with local learning algorithms, and the extension of evolutionary search in novel directions.

Informazioni sull?autore:

Karthik Balakrishnan leads the Decision Analytics Group at Obongo Inc., California.

Dati bibliografici

Titolo: Advances in the Evolutionary Synthesis of ...
Casa editrice: The MIT Press
Data di pubblicazione: 2001
Legatura: Rilegato
Condizione: Good
Condizione sovraccoperta: sovraccoperta