Multi-Agent-Based Simulation XI International Workshop, MABS 2010, Toronto, Canada, May 11, 2010, Revised Selected Papers /
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 To...
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| مؤلف مشترك: | |
|---|---|
| مؤلفون آخرون: | , , |
| التنسيق: | الكتروني كتاب الكتروني |
| اللغة: | English |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2011.
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| الطبعة: | 1st ed. 2011. |
| سلاسل: | Lecture Notes in Artificial Intelligence ;
6532 |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1007/978-3-642-18345-4 |
| الوسوم: |
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| 245 | 1 | 0 | |a Multi-Agent-Based Simulation XI |h [electronic resource] : |b International Workshop, MABS 2010, Toronto, Canada, May 11, 2010, Revised Selected Papers / |c edited by Tibor Bosse, Armando Geller, Catholijn M. Jonker. |
| 250 | |a 1st ed. 2011. | ||
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| 300 | |a X, 167 p. |b online resource. | ||
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| 490 | 1 | |a Lecture Notes in Artificial Intelligence ; |v 6532 | |
| 520 | |a 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. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Software engineering. | |
| 650 | 0 | |a Computers. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Computer simulation. | |
| 650 | 0 | |a Special purpose computers. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000 |
| 650 | 2 | 4 | |a Software Engineering. |0 https://scigraph.springernature.com/ontologies/product-market-codes/I14029 |
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| 650 | 2 | 4 | |a Algorithm Analysis and Problem Complexity. |0 https://scigraph.springernature.com/ontologies/product-market-codes/I16021 |
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| 700 | 1 | |a Jonker, Catholijn M. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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