Adaption and learning in multi-agent systems : IJCAI'95 workshop, Montréal, Canada, August 21, 1995 : proceedings

This book is based on the workshop on Adaptation and Learning in Multi-Agent Systems, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. The 14 thoroughly reviewed revised papers reflect the whole scope of curren...

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Bibliografische gegevens
Hoofdauteur: Weiss, Gerhard, 1962-
Coauteur: International joint conference on artificial intelligence (Auteur)
Andere auteurs: Sen, Sandip, 1964- (Publishing director)
Formaat: Livre numérique
Taal:Anglais
Gepubliceerd in: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Reeks:Lecture notes in computer science. Lecture notes in artificial intelligence 1042
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Edition sous un autre format:• Adaption and learning in multi-agent systems, IJCAI'95 workshop, Montréal, Canada, August 21, 1995, proceedings, Gerhard Weiss, Sandip Sen,(eds.), 1996, Berlin, Springer, 1 vol. (X-238 p.), Lecture notes in computer science, 3-540-60923-7
• Adaptation and Learning in Multi-Agent Systems, Texte imprimé, 9783662178409
Omschrijving
Samenvatting:This book is based on the workshop on Adaptation and Learning in Multi-Agent Systems, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95, in Montreal, Canada in August 1995. The 14 thoroughly reviewed revised papers reflect the whole scope of current aspects in the field: they describe and analyze, both experimentally and theoretically, new learning and adaption approaches for situations in which several agents have to cooperate or compete. Also included, and aimed at the novice reader, are a comprehensive introductory survey on the area with 154 references listed and a subject index. As the first book solely devoted to this area, this volume documents the state of the art and is thus indispensable for anyone active or interested in the field.
Beschrijving item:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540497264 (PDF)
ISSN:1611-3349
2945-9141
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017