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dc.contributor.advisorPratt, David R.
dc.contributor.authorMohn, Howard Lee
dc.dateSeptember 1994
dc.date.accessioned2014-08-13T20:27:32Z
dc.date.available2014-08-13T20:27:32Z
dc.date.issued1994-09
dc.identifier.urihttp://hdl.handle.net/10945/43003
dc.descriptionApproved for public release, distribution unlimiteden_US
dc.description.abstractThe purpose of this work is to develop a three-level architecture for mission planning and task assignment to computer generated forces. This architecture is based on the Rational Behavior Model, which was constructed by Byrnes, et.al. as a means of mission planning and control for autonomous robots. Extending this concept to address the problems of mission planning for computer generated forces allows the human greater flexibility and capability in controlling large numbers of computer generated forces in a large-scale virtual environment. The base system used in this proof-of-concept prototype is the Modular Semi-Automated Forces system (ModSAF), which was developed by Lora! ADS for US Army Simulation, Training, and Instrumentation Command, and written in C, using OSF/Motif as the graphical user interface (GUI) system. A prototype mission planner was added as a library to this application, using the US Army's five paragraph operations order as the basis for a series of GUI editors. The editors provide information to the framework about which artificial intelligence modules operate on the data input from the order, generating ModSAF tasks that are subsequently executed by the company. Currently, the input is parsed directly into a series of company-level ModSAF mission tasks. The initial results from the prototype resulted in a significant simplification of task generation for the user. One operations order phase generated on the average 2.5 ModSAF phases, with no requiiements for additional parameter changes. Further research is needed, however, to fully determine the resource implications of including AI modules in an already complex system. The use of the operations order as a means to generate a company-level mission simplifies mission generation, but a robust expert system is needed to effectively convert the operations order input data to a set of ModSAF tasks.en_US
dc.format.extent120 p.en_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.titleImplementation of a tactical mission planner for command and control of computer generated forces in ModSAFen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.subject.authorNAen_US
dc.description.serviceU.S. Army (USA) authoren_US
dc.identifier.oclcAAZ0645XP
etd.thesisdegree.nameM. S. in Computer Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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