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Engineering multi-agent systems : 5th international workshop, EMAS 2017, Sao Paulo, Brazil, May 8-9, 2017 : revised selected papers / / Cristina Baroglio, Jomi F. Hubner and Michael Winikoff (editors)



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Titolo: Engineering multi-agent systems : 5th international workshop, EMAS 2017, Sao Paulo, Brazil, May 8-9, 2017 : revised selected papers / / Cristina Baroglio, Jomi F. Hubner and Michael Winikoff (editors) Visualizza cluster
Pubblicazione: Cham, Switzerland : , : Springer, , [2020]
©2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (XI, 153 p. 47 illus., 33 illus. in color.)
Disciplina: 006.30285436
Soggetto topico: Artificial intelligence
Multiagent systems
Engineering systems
Persona (resp. second.): HubnerJomi F.
WinikoffMichael
BaroglioCristina
Note generali: Includes index.
Nota di contenuto: Delivering Multi-Agent MicroServices using CArtAgO -- Aplib: Tactical Agents for Testing Computer Games -- Exploiting Simulation for MAS Development and Execution—The JaCaMo-sim Approach -- Fragility and Robustness in Multiagent Systems -- Fault Tolerance in Multiagent Systems -- Multi-Agent Control of Industrial Robot Vacuum Cleaners -- Orthos: A Trustworthy AI Framework For Data Acquisition -- Simulating Vehicular IoT Applications by Combining a Multi-agent System and Big Data -- Accept a Challenge: The Multi-Agent Programming Contest -- The Intention Progression Competition.
Sommario/riassunto: This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Workshop on Engineering Multi-Agent Systems, EMAS 2020, held in Auckland, New Zealand, in May 2020. Due to COVID-19 pandemic the conference was held virtually. The 10 revised full papers presented in this book were carefully selected and reviewed from 16 submissions. The papers cover a broad range of topics in the domains of agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning.
Titolo autorizzato: Engineering Multi-Agent Systems  Visualizza cluster
ISBN: 3-030-66534-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910447247003321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Artificial Intelligence ; ; 12589