| Author |
Patel, Mukesh.
|
| Series |
Bradford book.
|
| Subject |
Intelligent agents (Computer software)
|
|
Evolutionary programming (Computer science)
|
| Alt Name |
Honavar, Vasant.
|
|
Balakrishnan, Karthik, 1970-
|
| Description |
1 online resource (xxiv, 480 pages) : illustrations |
| Note |
"A Bradford book." |
| Bibliography Note |
Includes bibliographical references and index. |
| Contents |
1. Evolutionary and neural synthesis of intelligent agents / by Karthik Balakrishnan and Vasant Honavar -- 2. Cellular encoding for interactive evolutionary robotics / by Frederic Gruau and Kameel Quatramaran -- 3. The emergence of communication through synthetic evolution / by Bruce J. MacLennan -- 4. Optimization of classifiers using genetic algorithms / by J.J. Merelo, A. Prieto and F. Moran -- 5. Evolving neuro-controllers and sensors for artificial agents / by Karthik Balakrishnan and Vasant Honavar -- 6. Combined biological metaphors / by Egbert J.W. Boers and Ida G. Sprinkhuizen-Kuyper -- 7. Evolutionary neurogenesis applied to mobile robotics / by Oliver Michel -- 8. Development in neural networks / by Domenico Parisi and Stefano Nolfi -- 9. Evolution and learning in radial basis function neural networks : a hybrid approach / by Brian Carse, Terence C. Fogarty and John C.W. Sullivan -- 10. Co-evolution and ontogenetic change in competing robots / by Dario Floreano, Stefano Nolfi and Francesco Mondada -- 11. Goal directed adaptive behavior in second-order neural networks : learning and evolving in the MAXSON architecture / by Federick L. Crabbe and Michael G. Dyer -- 12. Evolving heterogeneous neural agents by local selection / by Filippo Menczer, W. Nick Street and Melania Degeratu -- 13. Learning sequential decision tasks through symbiotic evolution of neural networks / by David E. Moriarty and Risto Miikkulainen -- 14. From evolving a single neural network to evolving neural network ensembles / by Xin Yao and Yong Liu -- 15. Evolutionary synthesis of Bayesian networks for optimization / by Heinz Muhlenbein and Thilo Mahnig. |
| Summary |
"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."--Jacket. |
| Note |
Print version record. |
|
English. |
| ISBN |
0585387168 (electronic bk.) |
|
9780585387161 (electronic bk.) |
|
9780262162012 |
|
0262162016 |
|
0262281309 (electronic bk.) |
|
9780262281300 (electronic bk.) |
| ISBN/ISSN |
9780262162012 |
| OCLC # |
49569598 |
| Additional Format |
Print version: Patel, Mukesh. Advances in the evolutionary synthesis of intelligent agents. Cambridge, Mass. : MIT Press, 2001 0262162016 (DLC) 00053691 (OCoLC)45315232 |
|
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