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dc.contributor.authorParry, Samuel H.
dc.contributor.authorSchoenstadt, Arthur
dc.date1990-09
dc.date.accessioned2013-02-27T23:36:23Z
dc.date.available2013-02-27T23:36:23Z
dc.date.issued1990-09
dc.identifier.urihttp://hdl.handle.net/10945/29186
dc.description.abstractEAGLE is a systematic combat simulation which is currently under development by the TRADOC Analysis Command at Fort Leavenworth. EAGLE is written using the Artificial Intelligence (AI) language LISP, which is ideally suited for describing both combat missions and decisions in understandable, nature language terms within an extremely sophisticated tactics knowledge base. Earlier reports, however, have asserted that systematic combat models which use the so- called present-state decisionmaking paradigm have a fundamentally flawed decisionmaking process. This report investigates the application in EAGLE of an alternative, future-state decisionmaking architecture, called the Generalized Value System (GVS), describes the general changes to EAGLE code and data structures necessary to impelement this methodology, and presents and example of how we believe this methodology would execute within EAGLEen_US
dc.description.sponsorshipUS Army TRADOC Analysis Commanden_US
dc.description.urihttp://archive.org/details/applicationoffut00parr
dc.format.extentNAen_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_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.subject.lcshCOMPUTER PROGRAMS.TACTICAL ANALYSIS.COMPUTERIZED SIMULATION.AIR LAND BATTLES.en_US
dc.titleApplication of Future State Decision Making in the EAGLE Combat Modelen_US
dc.typeTechnical Reporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.subject.authorAirland combat simulationen_US
dc.subject.authorGeneralized Value Systemen_US
dc.subject.authorGVSen_US
dc.subject.authorfuture state decisionmakingen_US
dc.subject.authorEAGLEen_US
dc.description.funderMIPR #M1861044en_US
dc.description.recognitionNAen_US
dc.identifier.oclcNA
dc.identifier.npsreportNPS-55-90-22


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