An interaction-oriented model for multi-scale simulation

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2011, Pages 332-337

  Picault, Sébastien ^a   Mathieu, Philippe ^a  

^a UNIV LILLE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTION LEVEL; AGENT SIMULATION; BEHAVIORAL RULES; MODELING BEHAVIOR; MULTI AGENT SIMULATION; MULTI-SCALE SIMULATION; MULTI-SCALE SYSTEM; SPATIO-TEMPORAL SCALE;

DESIGN; MULTI AGENT SYSTEMS;

COMPUTER SIMULATION;

EID: 84881058428     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-065     Document Type: Conference Paper

References (10)

1. G. An. Introduction of an agent-based multiscale modular architecture for dynamic knowledge representation of acute inflammation. Theoretical Biology and Medical Modelling, 5(11), 2008.
2. J. Ferber, F. Michel, and J. Báez. AGRE: Integrating environments with organizations. In Weyns et al., editor, Revised Selected Papers of E4MAS' 04, volume 3374 of LNAI, pages 48-56. Springer-Verlag, 2005.
3. Richard M. Fujimoto. Time management in the high level architecture. Simulation, 71:388-400, 1998.
4. Y. Kubera, P. Mathieu, and S. Picault. Interaction-oriented agent simulations : From theory to implementation. In Ghallab et al., editor, Proc. of the 18th European Conf. on Artificial Intelligence (ECAI), pages 383-387. IOS Press, 2008.
5. Y. Kubera, P. Mathieu, and S. Picault. Everything can be agent! In van der Hoek et al., editor, Proc. of the 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), pages 1547-1548, 2010.
6. Yoann Kubera, Philippe Mathieu, and Sébastien Picault. IODA: an interaction-oriented approach for multi-agent based simulations. Journal of Autonomous Agents and Multi-Agent Systems, 2011. In press.
7. Philippe Mathieu, David Panzoli, and Sébastien Picault. Format-store: a multi-agent based approach to experiential learning. In F. Liarokapis, editor, Proc. of the 3rd Int. Conf. on Games and Virtual Worlds for Serious Applications (VS-GAMES), 2011.
8. N. Minar, R. Burkhart, C. Langton, and M. Askenazi. The SWARM simulation system: a toolkit for building multi-agent simulations. Working Paper 96-06-042, Santa Fe Institute, 1996.
9. G. Pǎun and G. Rozenberg. Aguide to membrane computing. Theoretical Computer Science, 287(1):73-100, 2002.
10. David Scerri, Sarah Hickmott, Alexis Drogoul, and Lin Padgham. An architecture for modular distributed simulation with agent-basedmodels. In van der Hoek, Kaminka, Lespérance, Luck, and Sen, editors, Proc. of the 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), pages 541-548, 2010.