Engineering Multi-Agent Systems [electronic resource] : 8th International Workshop, EMAS 2020, Auckland, New Zealand, May 8-9, 2020, Revised Selected Papers / edited by Cristina Baroglio, Jomi F. Hubner, Michael Winikoff.
Contributor(s): Baroglio, Cristina [editor.] | Hubner, Jomi F [editor.] | Winikoff, Michael [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 12589Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XI, 153 p. 47 illus., 33 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030665340.Subject(s): Artificial intelligence | Computer networks | Software engineering | Computer engineering | Artificial Intelligence | Computer Communication Networks | Software Engineering | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access onlineDelivering 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.
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 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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