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dc.contributor.advisorHiles, John.
dc.contributor.authorTan, Kian Moh Terence.
dc.date.accessioned2012-03-14T17:37:04Z
dc.date.available2012-03-14T17:37:04Z
dc.date.issued2007-12
dc.identifier.urihttp://hdl.handle.net/10945/3044
dc.description.abstractThis paper describes a plan generation software for maritime interdiction tactical operation using conceptual blending theory (CBT) and software blending mechanism. CBT explains how human think using mental spaces and mental operators. This paper uses CBT to model Boyd's Observation-Orientation-Decision-Act Loop Theory, a mental process used by military commanders to make decision. Bio-inspired operators are used to monitor cues from the real world. Expert's experiences were captured using a similar strategy implemented in the threat assessment model created by Liebhaber and Feher. Probability Estimates of Events (PEoE) are used to represent the significance of each possible tactic used by potential threats. Several PEoE are used to represent the mental patterns used to recognize a threat situation. Finally, decision is derived using linear assignment, an optimality approach that considers threat attack probability, goals and interdiction resource effectiveness. Experienced naval warfare officers have given positive feedback on the results presented and commented that the model resembles the cognitive process of a decision maker in tactical plan generation. The model has also been tested in a Simkit-based simulator to coordinate patrol craft's maritime interdiction process.en_US
dc.description.urihttp://archive.org/details/tacticalplgenera109453044
dc.format.extentxvi, 93 p. : ill. ;en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsApproved for public release, distribution unlimiteden_US
dc.subject.lcshDecision makingen_US
dc.subject.lcshComputer programsen_US
dc.subject.lcshModelingen_US
dc.titleTactical plan generation software for maritime interdiction using conceptual blending theoryen_US
dc.typeThesisen_US
dc.contributor.secondreaderShebalin, Paul
dc.contributor.corporateNaval Postgraduate School
dc.description.serviceSingapore DSO National Laboratories author (civilian).en_US
dc.identifier.oclc191698448
etd.thesisdegree.nameM.S.en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineModeling, Virtual Environments and Simulation (MOVES)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US


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