Adaptive agents and multi-agent systems : adaptation and multi-agent learning

Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social science. This book surveys the state of the art...

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Bibliografiske detaljer
Andre forfattere: Alonso, Eduardo, 1967- (Directeur de la publication), Kudenko, Daniel (Directeur de la publication), Kazakov, Dimitar (Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serier:Lecture notes in computer science. Lecture notes in artificial intelligence 2636
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Kommentar: Communications choisies, présentées aux 1er et 2ème symposia
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Edition sous un autre format:• Adaptive agents and multi-agent systems, adaptation and multi-agent learning, Eduardo Alonso, Daniel Kudenko, Dimitar Kazakov (eds.), Berlin, Springer, 2003, 1 vol. (XIV-322 p.), Lecture notes in computer science, 3-540-40068-0
• Adaptive Agents and Multi-Agent Systems, Texte imprimé, 9783662178201
Beskrivelse
Summary:Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social science. This book surveys the state of the art in this emerging field by drawing together thoroughly selected reviewed papers from two related workshops; as well as papers by leading researchers specifically solicited for this book. The articles are organized into topical sections on - learning, cooperation, and communication - emergence and evolution in multi-agent systems - theoretical foundations of adaptive agents.
Emne beskrivelse:Communications choisies, présentées aux 1er et 2ème symposia
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540448266 (PDF)
ISSN:1611-3349
2945-9141
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