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Distributed Computing and Artificial Intelligence, 15th International Conference [[electronic resource] /] / edited by Fernando De La Prieta, Sigeru Omatu, Antonio Fernández-Caballero



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Titolo: Distributed Computing and Artificial Intelligence, 15th International Conference [[electronic resource] /] / edited by Fernando De La Prieta, Sigeru Omatu, Antonio Fernández-Caballero Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (XVI, 367 p. 133 illus.)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
Persona (resp. second.): De La PrietaFernando
OmatuSigeru
Fernández-CaballeroAntonio
Sommario/riassunto: The 15th International Symposium on Distributed Computing and Artificial Intelligence 2018 (DCAI 2018) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Castilla-La Mancha, the Osaka Institute of Technology and the University of Salamanca. The present edition was held in Toledo, Spain, from 20th – 22nd June, 2018.
Titolo autorizzato: Distributed Computing and Artificial Intelligence, 15th International Conference  Visualizza cluster
ISBN: 3-319-94649-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910483771903321
Lo trovi qui: Univ. Federico II
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Serie: Advances in Intelligent Systems and Computing, . 2194-5357 ; ; 800