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dc.contributor.advisorDarken, Rudolph
dc.contributor.authorGoerger, Simon R.
dc.dateJune 2004
dc.date.accessioned2012-08-22T15:30:40Z
dc.date.available2012-08-22T15:30:40Z
dc.date.issued2004-06
dc.identifier.urihttp://hdl.handle.net/10945/9932
dc.description.abstractAs leaders of the Department of Defense (DoD) rely more on modeling and simulation (MandS) to provide information on which they base strategic and tactical decisions, the credibility of simulations becomes more important. This credibility is initially gained through the verification, validation, and accreditation process DoD models are required to undergo prior to their use in simulations. The process of validating behavioral models is not well defined, nor is the process extendable to meet requirements for validating the varied and complex behavioral models. Through a series of empirical studies, this research identifies subject matter expert (SME) biases and their effects on consistency and accuracy of results. This research concludes that a SME's bias has a statistically significant effect on subjective assessment of human performance of urban combat skills. To this end, the research demonstrates how the effects of the natural biases of SMEs can be mitigated based on the scale used to assess assessing human behavior representation (HBR) models, providing a more consistent and accurate means of validating HBR models. In doing so, it assists the DoD MandS Community by providing enhancements to face validation procedures for HBR model implementations for future use in DoD legacy and developmental combat models.en_US
dc.description.urihttp://archive.org/details/validatingcomput109459932
dc.format.extentxxii, 316 p. : ill. (some col.), col. mapsen_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.lcshCognitive psychology.en_US
dc.titleValidating computational human behavior models: consistency and accuracy issuesen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School
dc.contributor.departmentModeling, Virtual Environments and Simulation (MOVES) Academic Committee.
dc.subject.authorValidationen_US
dc.subject.authorCognitive Modelen_US
dc.subject.authorModeling and Simulationsen_US
dc.subject.authorHuman Behavior Representationen_US
dc.subject.authorBiasen_US
dc.subject.authorMulti-Agent Systemsen_US
dc.subject.authorBehavioral Psychologyen_US
dc.subject.authorCognitive Psychologyen_US
dc.subject.authorVV&Aen_US
dc.subject.authorHuman Performance Evaluationen_US
dc.description.serviceMajor, United States Armyen_US
etd.thesisdegree.namePh.D in Modeling, Virtual Environments and Simulation (MOVES)en_US
etd.thesisdegree.levelDoctoralen_US
etd.thesisdegree.disciplineModeling, Virtual Environments, and Simulation Institute (MOVES)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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