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Record Nr. |
UNINA9910447247003321 |
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Titolo |
Engineering Multi-Agent Systems : 8th International Workshop, EMAS 2020, Auckland, New Zealand, May 8–9, 2020, Revised Selected Papers / / edited by Cristina Baroglio, Jomi F. Hubner, Michael Winikoff |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XI, 153 p. 47 illus., 33 illus. in color.) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 12589 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer networks |
Software engineering |
Computer engineering |
Artificial Intelligence |
Computer Communication Networks |
Software Engineering |
Computer Engineering and Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 the COVID-19 pandemic the conference was held virtually. The 10 revised full papers presented in this book were |
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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. |
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