Layering social interaction scenarios on environmental simulation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3415 LNAI, Issue , 2005, Pages 78-88

  Torii, Daisuke ^a   Ishida, Toru ^a,b   Bonneaud, Stéphane ^c   Drogoul, Alexis ^c  

^a KYOTO UNIVERSITY   (Japan)

^b JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^c UNIVERSITÉ PARIS DESCARTES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER SIMULATION; FORMAL LANGUAGES; MULTI AGENT SYSTEMS; SIMULATORS;

COMPUTATIONAL MODELS; CORMAS; FIRE-FIGHTER DOMAIN;

ENVIRONMENTAL ENGINEERING;

EID: 26844439708     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-32243-6_7     Document Type: Conference Paper

References (10)

1. Axtell, R. L, Epstein, J. M. and Cohen, M. D.: Aligning Simulation Models: A Case Study and Results. Computational and Mathematical Organization Theory, vol. 1, 123-141, 1996.
2. Bah, A., Touré, I. and Le Page, Ch.: An Agent-Based Model tool for multi-agent simulation for Understanding the Multiple Uses of space Land and Resources around a Drilling Sites in the Sahel. In Proceedings of Modsim 2003 International Congress on Modeling and Simulation, 1060-1065, 2003.
3. Bousquet, F., Bakam, I., Proton, H. and Le Page, C.: Cormas: common-pool resources and multi-agent Systems. Lecture Notes in Artificial Intelligence 1416, 826-838, 1998
4. Cohen, P. R., Greenberg M. L., Hart, D. M. and Howe, A. E.: Trial by fire: Understanding the design requirements for agents in complex environments. AI Magazine, Vol. 10 No. 3, 32-48, Fall 1989.
5. Ishida, T.: Digital City Kyoto: Social Information Infrastructure for Everyday Life. Communications of the ACM (CACM), Vol. 45, No. 7, 76-81, 2002.
6. Ishida, T.: Q: A Scenario Description Language for Interactive Agents. IEEE Computer, Vol.35, No. 11, 54-59, 2002.
7. Murakami, Y., Ishida, T., Kawasoe, T. and Hishiyama, R.: Scenario Description for Multi-Agent Simulation. In Proceedings of International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-03), 369-376, 2003.
8. Nakanishi, H., Nakazawa, S., Ishida, T., Takanashi, K. and Isbister, K.: Can Software Agents Influence Human Relations? Balance Theory in Agent-mediated Communities. In Proceedings of International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-03), 717-724, 2003.
9. Noda, I. and Stone, P.: RoboCup Soccer Server and CMUnited: Implemented Infrastructure for MAS Research, Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems, Wagner, T., Rana, O., ed., 94-101, 2001.
10. Perez, P. and Ardlie, N., Kuneepong, P., Dietrich, C., Merritt, W. S.: CATCHCROP: modeling crop yield and water demand for integrated catchment assessment in Northern Thailand. Environmental Modelling and Software, Vol. 17, No. 3, 251-259, 2002.