Abstract
The RescueModel project is a vehicle for research into multiagent systems, architectures, and strategies. It builds on the theoretical, practical, and experimental base of a decade of beliefs-desires-intentions (BDI) agent systems development. This paper describes a project that will bring together the environmental richness found usually in large scale military operations research simulations with the architectural richness of agent models often researched in universities. Proposed applications of RescueModel include search and rescue and disaster response studies.
Acknowledgements
The authors would like to thank the kind assistance of Michael Papasimeon, Gil Tidhar, Liz Sonnenberg, Leon Sterling and the BattleModel Design Team of DSTO.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
G. Au and S. Goss. Rescuemodel: A simulation framework for the exploration of agent-environment and agent-agent interations in team situations. In Proceedings of the fifth International SimTecT Conference, Sydney, 2000.
P. R. Cohen, M. L. Greenberg, D. M. Hart, and A. E. Howe. Trial by re: Understanding the design requirements for agents in complex environments. AI Magazime, 10(3):32–48, 1989.
P. R. Cohen and H. J. Levesque. Teamwork. Nous: Special Issue on Cognitive Science and Artificial Intelligence, 25(4):473–512, 1991.
J. Coleman and A. Sullivan. The csiro bushe spread simulator. In Proceedings of the Institue of Foresters of Australia 16th Biennial Conference, Canberra, 1995.
H. Cottam and N. R. Shadbolt. Knowledge acquisition for search and rescue planning. International Journal of Human-Computer Studies, 48:449–473, 1998.
Francois F. Ingrand, Michael P. George, and Anand S. Rao. An architecture for real-time reasoning and system control. IEEE Expert, pages 34–44, December 1992.
H. S. Kitano, I. Noda, H. Matsubara, T. Takahashi, A. Shinjou, and S. Shimada. Robocup-rescue: Search and rescue for large scale disasters as a domain for multi-agent research. In Proceedings of the IEEE Conference on Man, Systems, and Cybernetics (SMC-99), 1999.
M. M. Omodei and A. J. Wearing. There chief microworld generating program: An iillustration of computer-simulated microworlds as an experimental paradigm for studying complex decision-making behaviour. Behavoiur Research Methods, Instruments and Computers, 27:303–316, 1995.
M. E. Pollack and M. Ringuette. Introducing the tileworld: Experimentally evaluating agent architecture. In Proceedings of the 8th National Conference on Artificial Intelligence (AAAI), Boston, 1990.
M. Tambe, G. A. Kaminka, S. Marsella, I. Muslea, and T. Raines. Two fielded teams and two experts: A robocup response challange from the trenches. In Proceedings of the International Joint Conference on Articial Intelligence (IJ CAI’99), 1999.
Gil Tidhar, Clinton Heinze, Simon Goss, Graeme Murray, Dino Appla, and Ian Lloyd. Using intelligent agents in military simulations or “using agents intelligently”. In Proceedings of the Eleventh Innovative Applications of Artificial Intelligence Conference, American Association of Artificial ntelligence (AAAI), Deployed Applications paper, 1999.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Verlag Berlin Heidelberg
About this paper
Cite this paper
Au, G., Goss, S., Heinze, C., Pearce, A.R. (2001). RescueModel: A Multi-Agent Simulation of Bushfire Disaster Management. In: Stone, P., Balch, T., Kraetzschmar, G. (eds) RoboCup 2000: Robot Soccer World Cup IV. RoboCup 2000. Lecture Notes in Computer Science(), vol 2019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45324-5_27
Download citation
DOI: https://doi.org/10.1007/3-540-45324-5_27
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42185-6
Online ISBN: 978-3-540-45324-6
eBook Packages: Springer Book Archive