TY  - BOOK
AU  - Bosse,Tibor
AU  - Geller,Armando
AU  - Jonker,Catholijn M.
ED  - MABS (Workshop)
TI  - Multi-agent-based simulation XI: international workshop, MABS 2010, Toronto, Canada, May 11, 2010 : revised selected papers 
T2  - Lecture notes in computer science,
SN  - 9783642183454
AV  - QA76.9.C65 M33 2011
U1  - 003/.3 22
PY  - 2011///
CY  - Berlin, New York
PB  - Springer
KW  - Computer simulation
KW  - Congresses
KW  - Multiagent systems
KW  - Simulation par ordinateur
KW  - Congrès
KW  - Systèmes multiagents (Intelligence artificielle)
KW  - cct
KW  - Informatique
KW  - eclas
KW  - fast
KW  - algoritmen
KW  - algorithms
KW  - computeranalyse
KW  - computer analysis
KW  - simulatiemodellen
KW  - simulation models
KW  - systemen
KW  - systems
KW  - computerwetenschappen
KW  - computer sciences
KW  - kunstmatige intelligentie
KW  - artificial intelligence
KW  - software engineering
KW  - computational science
KW  - Information and Communication Technology (General)
KW  - Informatie- en communicatietechnologie (algemeen)
KW  - Congress
KW  - proceedings (reports)
KW  - aat
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
N1  - Includes bibliographical references and index
N2  - 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
UR  - https://link.springer.com/10.1007/978-3-642-18345-4
ER  -