ABSTRACT
A Military-based distributed interactive simulation (DIS) such as ModSAF has been used for many years. Several problems of the DIS-based simulation to support a large and heterogeneous virtual simulation environments have been discovered (Stone, Zyda, Brutzman, and Falby 1996). To solve these problems, we propose an architectural multi-agent-based framework to support a large military-based simulation with 3D visualization using inexpensive game simulators. Several software agents are used to support interoperability between DIS-based military simulation nodes and Unreal Tournament game simulators. An agent is used to reduce DIS traffic to efficiently utilize network bandwidth. It also performs protocol conversion between DIS protocol and a game engine protocol. Additionally, using a multi-agent system, our work is easily expandable to support several network environments and also to support agent-based intelligent operations. Our main contribution is twofold. We use a multi-agent system which is scalable to support our framework. In addition, our framework builds a simulation bridge that enables affordable high-quality 3D viewer node using affordable game simulations for military simulations.
- Adobbati, R., Marshall, A. N., Scholer, A., Tejada, S. Kaminka, G., Schaffer, S., and Sollitto, C. 2001. Game-Bots: A 3D Virtual World Test-Bed For Multi-Agent Research. In Proceedings of the Second International Workshop on Infrastructure for Agents, MAS, and Scalable MAS.Google Scholar
- Brunett, S., and Gottschalk, T. 1997. An Architecture for Large ModSAF Simulations using Scalable Parallel Processors. Technical Report CACR-155. California Institute of Technology. October 1997.Google Scholar
- Calder, R. B., Smith, J. E., Courtemarche, A. J., Mar, J.M.F., Ceranowicz, A. Z. 1993. ModSAF Behavior Simulation and Control. In Proceedings of the Second Conference on Computer Generated Forces and Behavioral Representation.Google Scholar
- DIS-Java-VRML Website. Available via <http://www.web3d.org/WorkingGroups/vrtp/dis-java-vrml/> {accessed June 20, 2003}.Google Scholar
- Epic Game Developers. Unreal Tournament Website. Available via <http://unreal.epicgames.com/> {accessed June 20, 2003}.Google Scholar
- GameBots Website. GameBots Network API. Avaliable via <http://www.cs.cmu.edu/~galk/GameBots/WEB/docapi.html> {accessed June 20, 2003}.Google Scholar
- IEEE1278. 1993. Institute of Electrical and Electronics Engineers. International Standard. ANSI/IEEE Std 1278--1993. Standard for Information Technology, Protocols for Distributed Interactive Simulation. Google ScholarDigital Library
- Lewis, M. 2002. The New Cards. Communications of the ACM, January 2002. Google ScholarDigital Library
- Lewis, M. and Jacobson, J. 2002. Game Engines in Scientific Research. Communications of the ACM, January 2002. Google ScholarDigital Library
- Macedonia, M. R., Zyda, M. J., Pratt, D. R., Barham, P. T., and Zeswitz, S. 1994. NPSNET: A Network Software Architecture For Large Scale Virtual Environments. In Presence 3(4): 265--287.Google ScholarDigital Library
- OneSAF Website. Available via <http://www.onesaf.org> {accessed June 20, 2003}.Google Scholar
- Rectenwald, M. 2002. RETSINA AFC Developers' Guide. Available via <http://www-2.cs.cmu.edu/~softagents/afc/> {access June 20, 2003}.Google Scholar
- Rosenbloom, P. S., Laird, J. E., and Newell, A. 1993. The Soar Papers: Readings on Integrated Intelligence. Cambridge, MA. MIT Press. Google ScholarDigital Library
- Sardella, J. M., and High, D. L. 2000. Integration of Fielded Army Aviation Simulators with ModSAF: The Eighth Army Training Solution. In Proceedings of Interservice/Industry Training Systems and Education Conference.Google Scholar
- Schwamb, K. B., Koss, F. V., and Keirsey, D. 1994. Working with ModSAF: Interfaces for Programs and Users. In Proceedings of the Fourth Conference on Computer Generated Forces and Behavior Representation. Orlando, Florida, USA. Institute for Simulation and Training. University of Central Florida.Google Scholar
- SoftAgents Website. Available via <http://www-2.cs.cmu.edu/~softagents/> {accessed June 20, 2003}.Google Scholar
- Stone, S., Zyda, M., Brutzman, D., Falby, J. 1996. Mobile Agents And Smart Networks For Distributed Simulations. In Proceedings of the 14th DIS Workshop. Orlando, Florida.Google Scholar
- Sycara, K. P. 1998. Multi-Agent Systems. AI Magazine 10(2): 79--93.Google Scholar
- Sycara, K. P., Paolucci, M., van Velsen, M., Giampapa, J. 2001. The RETSINA MAS Infrastructure. Technical Report CMU-RI-TR-01-05. Robotics Institute, Carnegie Mellon University.Google Scholar
- Zyda, M., Hiles, J., Mayberry, A., Wardynski, C., Capps, M., Osborn, B., Shilling, R., Robaszewski, M., Davis, M. 2003. The MOVES Institute's Army Game Project: Entertainment R&D for Defense. IEEE Computer Graphics and Applications. January/February 2003.Google Scholar
Agent models I: UTSAF: a multi-agent-based framework for supporting military-based distributed interactive simulations in 3D virtual environments
Recommendations
Scalability in distributed simulations of agent-based models
WSC '09: Winter Simulation ConferenceResearch on systems of autonomous agents, called multiagent systems (MAS), has received much interest in the domain of (distributed) artificial intelligence in recent years. MAS are most suitable for the development of distributed applications within an ...
Learning agent models in SeSAm
AAMAS '13: Proceedings of the 2013 international conference on Autonomous agents and multi-agent systemsDesigning the agent model in a multiagent simulation is a challenging task due to the generative nature of such systems. In this contribution we present an extension to the multiagent simulation platform SeSAm, introducing a learning-based design ...
Comments