Multi-agent-based simulation XI : international workshop, MABS 2010, Toronto, Canada, May 11, 2010 : revised selected papers / Tibor Bosse, Armando Geller, Catholijn M. Jonker (eds.).
Material type:
TextSeries: Lecture notes in computer science ; 6532. | Lecture notes in computer science. Lecture notes in artificial intelligence. | LNCS sublibrary. SL 7, Artificial intelligence.Publication details: Berlin ; New York : Springer, ©2011.Description: 1 online resource (x, 166 pages) : illustrationsContent type: - text
- computer
- online resource
- 9783642183454
- 364218345X
- MABS 2010
- Multi-agent-based simulation 11
- Multi-agent-based simulation eleven
- Computer simulation -- Congresses
- Multiagent systems -- Congresses
- Simulation par ordinateur -- Congrès
- Systèmes multiagents (Intelligence artificielle) -- Congrès
- Multiagent systems
- Computer simulation
- Informatique
- Computer simulation
- Multiagent systems
- algoritmen
- algorithms
- computeranalyse
- computer analysis
- simulatiemodellen
- simulation models
- systemen
- systems
- computerwetenschappen
- computer sciences
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- artificial intelligence
- software engineering
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- Information and Communication Technology (General)
- Informatie- en communicatietechnologie (algemeen)
- 003/.3 22
- QA76.9.C65 M33 2011
- TP15-532
- TP18-532
- TP391. 9-532
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e-Library | eBook LNCS | Available |
Includes bibliographical references and index.
Print version record.
This volume contains a selection of the papers presented at the 11th International Workshop on Multi-Agent-Based Simulation (MABS 2010), a workshop co-located with the 9th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), which was held on May 10-14, 2010 in Toronto, Canada. The 11 revised full papers presented were carefully reviewed and selected from 26 submissions. The workshop has been an important source of inspiration for the body of knowledge that has been produced in the field of Multi-Agent Systems (MAS). As illustrated by this volume, the workshop continues to bring together researchers interested in MAS engineering with researchers focused on finding efficient ways to model complex social systems in social, economic and organizational areas. In all these areas, agent theories, metaphors, models, analyses, experimental designs, empirical studies, and methodological principles all converge into simulation as a way of achieving explanations and predictions, exploring and testing hypotheses, and producing better designs and systems.
English.