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Multiagentbased Simulation Xi International Workshop Mabs 2010 Toronto Canada May 11 2010 Revised Selected Papers 1st Edition Fabien Michel

  • SKU: BELL-4142694
Multiagentbased Simulation Xi International Workshop Mabs 2010 Toronto Canada May 11 2010 Revised Selected Papers 1st Edition Fabien Michel
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Multiagentbased Simulation Xi International Workshop Mabs 2010 Toronto Canada May 11 2010 Revised Selected Papers 1st Edition Fabien Michel instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 2.56 MB
Pages: 167
Author: Fabien Michel, Jacques Ferber, Pierre-Alain Laur, Florian Aleman (auth.), Tibor Bosse, Armando Geller, Catholijn M. Jonker (eds.)
ISBN: 9783642183454, 364218345X
Language: English
Year: 2011
Edition: 1

Product desciption

Multiagentbased Simulation Xi International Workshop Mabs 2010 Toronto Canada May 11 2010 Revised Selected Papers 1st Edition Fabien Michel by Fabien Michel, Jacques Ferber, Pierre-alain Laur, Florian Aleman (auth.), Tibor Bosse, Armando Geller, Catholijn M. Jonker (eds.) 9783642183454, 364218345X instant download after payment.

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.

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