Multiagent System Technologies [electronic resource] : 14th German Conference, MATES 2016, Klagenfurt, �Osterreich, September 27-30, 2016. Proceedings / edited by Matthias Klusch, Rainer Unland, Onn Shehory, Alexander Pokahr, Sebastian Ahrndt.
Contributor(s): Klusch, Matthias [editor.] | Unland, Rainer [editor.] | Shehory, Onn [editor.] | Pokahr, Alexander [editor.] | Ahrndt, Sebastian [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 9872Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XII, 239 p. 77 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319458892.Subject(s): Computer science | Software engineering | Algorithms | Artificial intelligence | Computer simulation | Computer Science | Artificial Intelligence (incl. Robotics) | Simulation and Modeling | Information Systems Applications (incl. Internet) | Software Engineering | Algorithm Analysis and Problem ComplexityAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the proceedings of the 14th German Conference on Multiagent System Technologies, MATES 2016, held in Klagenfurt, Austria, in September 2016. 12 long papers and 5 short papers were carefully reviewed and selected from 28 submissions. MATES 2016 conference talks covered a broad area of topics of interest including MAS engineering and modeling, issues of human-agent interaction, collaboration and coordination, agent-based adaptation and optimization, and applications of MAS, in particular in the smart energy domain.
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This book constitutes the proceedings of the 14th German Conference on Multiagent System Technologies, MATES 2016, held in Klagenfurt, Austria, in September 2016. 12 long papers and 5 short papers were carefully reviewed and selected from 28 submissions. MATES 2016 conference talks covered a broad area of topics of interest including MAS engineering and modeling, issues of human-agent interaction, collaboration and coordination, agent-based adaptation and optimization, and applications of MAS, in particular in the smart energy domain.
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