Distributed artificial intelligence meets machine learning : learning in multi-agent environments : ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996 : ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996 : selected papers

The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equip...

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Xehetasun bibliografikoak
Egile nagusia: Weiss, Gerhard, 1962-
Egile korporatiboa: European Conference on Artificial Intelligence (Egilea), International conference on multi-agent systems (Egilea)
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Saila:Lecture notes in computer science. Lecture notes in artificial intelligence 1221
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Sarrera elektronikoa:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
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Oharra: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Distributed artificial intelligence meets machine learning, learning in multi-agent environments, ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996, selected papers, Gerhard Weiss, (ed.), 1997, Berlin, Springer, 1 vol. (X-294 p.), Lecture notes in computer science, 3-540-62934-3
• Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments, Texte imprimé, 9783662172223

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