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Using a Competitive Approach to Improve Military Simulation Artificial Intelligence Design

dc.contributor.authorStoykov, Sevdalin
dc.contributor.authorDarken, Christian J.
dc.contributor.otherMOVES Institute
dc.date2008
dc.date.accessioned2013-09-25T22:58:06Z
dc.date.available2013-09-25T22:58:06Z
dc.date.issued2008
dc.identifier.citationNATO Modeling and Simulation Group (NMSG) Conference, Vancouver, Canada, 7-8 October 2008. Paper-NBR-12.
dc.identifier.urihttp://hdl.handle.net/10945/36632
dc.description.abstractThe research presented in this paper attempts to show how using a competitive approach to artificial intelligence (AI) design can lead to improvement of the AI soltions used in military simulatins. To demonstrate the potential of the competitive approach, ORTS, a real-time strategy game engine is used. The idea is to setup a tournament of virtual battles between base case AIs and new test AIs, and by using the informaiton from these battles o advance the test AIs. The analysis of the results from the experimental tournament shows possible advantages and application of the competitive approach. At the end of the paper, some conclusions and recommendations for future work are made.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleUsing a Competitive Approach to Improve Military Simulation Artificial Intelligence Designen_US
dc.contributor.corporateNaval Postgraduate School, Monterey, California
dc.contributor.departmentComputer Science (CS)


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