MARC Record from marc_columbia

LEADER: 03681mam a22003854a 4500
001 3069269
005 20221019211929.0
008 001102t20012001maua b 001 0 eng
010 $a 00053691
015 $aGBA1-Y7969
020 $a0262162016 (hc. : alk. : paper)
035 $a(OCoLC)ocm45315232
035 $9ATP1882CU
035 $a3069269
040 $aDLC$cDLC$dUKM$dC#P$dOrLoB-B
042 $apcc
050 00 $aQA76.76.I58$bA314 2001
082 00 $a006.3$221
245 00 $aAdvances in the evolutionary synthesis of intelligent agents /$cedited by Mukesh Patel, Vasant Honavar, Karthik Balakrishnan.
260 $aCambridge, Mass. :$bMIT Press,$c[2001], ©2001.
300 $axxiv, 480 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
500 $a"A Bradford book."
504 $aIncludes bibliographical references and index.
505 00 $g1.$tEvolutionary and Neural Synthesis of Intelligent Agents /$rKarthik Balakrishnan and Vasant Honavar --$g2.$tCellular Encoding for Interactive Evolutionary Robotics /$rFrederic Gruau and Kameel Quatramaran --$g3.$tThe Emergence of Communication Through Synthetic Evolution /$rBruce J. MacLennan --$g4.$tOptimization of Classifiers Using Genetic Algorithms /$rJ. J. Merelo, A. Prieto and F. Moran --$g5.$tEvolving Neuro-Controllers and Sensors for Artificial Agents /$rKarthik Balakrishnan and Vasant Honavar --$g6.$tCombined Biological Metaphors /$rEgbert J. W. Boers and Ida G. Sprinkhuizen-Kuyper --$g7.$tEvolutionary Neurogenesis Applied to Mobile Robotics /$rOlivier Michel --$g8.$tDevelopment in Neural Networks /$rDomenico Parisi and Stefano Nolfi --$g9.$tEvolution and Learning in Radial Basis Function Neural Networks - A Hybrid Approach /$rBrian Carse, Terence C. Fogarty and John C. W. Sullivan --
505 80 $g10.$tCo-Evolution and Ontogenetic Change in Competing Robots /$rDario Floreano, Stefano Nolfi and Francesco Mondada --$g11.$tGoal Directed Adaptive Behavior in Second-Order Neural Networks: Learning and Evolving in the MAXSON Architecture /$rFrederick L. Crabbe and Michael G. Dyer --$g12.$tEvolving Heterogeneous Neural Agents by Local Selection /$rFilippo Menczer, W. Nick Street and Melania Degeratu --$g13.$tLearning Sequential Decision Tasks through Symbiotic Evolution of Neural Networks /$rDavid E. Moriarty and Risto Miikkulainen --$g14.$tFrom Evolving a Single Neural Network to Evolving Neural Network Ensembles /$rXin Yao and Yong Liu --$g15.$tEvolutionary Synthesis of Bayesian Networks for Optimization /$rHeinz Muhlenbein and Thilo Mahnig.
520 1 $a"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.".
520 8 $a"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."--BOOK JACKET.
650 0 $aIntelligent agents (Computer software)$0http://id.loc.gov/authorities/subjects/sh97000493
650 0 $aEvolutionary programming (Computer science)$0http://id.loc.gov/authorities/subjects/sh95003941
700 1 $aPatel, Mukesh.$0http://id.loc.gov/authorities/names/n00015634
700 1 $aHonavar, Vasant.$0http://id.loc.gov/authorities/names/n93122761
700 1 $aBalakrishnan, Karthik,$d1970-$0http://id.loc.gov/authorities/names/n00015633
852 00 $boff,eng$hQA76.76.I58$iA314 2001