Validating computational human behavior models: consistency and accuracy issues
dc.contributor.advisor | Darken, Rudolph | |
dc.contributor.author | Goerger, Simon R. | |
dc.date | June 2004 | |
dc.date.accessioned | 2012-08-22T15:30:40Z | |
dc.date.available | 2012-08-22T15:30:40Z | |
dc.date.issued | 2004-06 | |
dc.identifier.uri | http://hdl.handle.net/10945/9932 | |
dc.description.abstract | As 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.uri | http://archive.org/details/validatingcomput109459932 | |
dc.format.extent | xxii, 316 p. : ill. (some col.), col. maps | en_US |
dc.publisher | Monterey, California. Naval Postgraduate School | en_US |
dc.rights | This 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.lcsh | Cognitive psychology. | en_US |
dc.title | Validating computational human behavior models: consistency and accuracy issues | en_US |
dc.type | Thesis | en_US |
dc.contributor.corporate | Naval Postgraduate School | |
dc.contributor.department | Modeling, Virtual Environments and Simulation (MOVES) Academic Committee. | |
dc.subject.author | Validation | en_US |
dc.subject.author | Cognitive Model | en_US |
dc.subject.author | Modeling and Simulations | en_US |
dc.subject.author | Human Behavior Representation | en_US |
dc.subject.author | Bias | en_US |
dc.subject.author | Multi-Agent Systems | en_US |
dc.subject.author | Behavioral Psychology | en_US |
dc.subject.author | Cognitive Psychology | en_US |
dc.subject.author | VV&A | en_US |
dc.subject.author | Human Performance Evaluation | en_US |
dc.description.service | Major, United States Army | en_US |
etd.thesisdegree.name | Ph.D in Modeling, Virtual Environments and Simulation (MOVES) | en_US |
etd.thesisdegree.level | Doctoral | en_US |
etd.thesisdegree.discipline | Modeling, Virtual Environments, and Simulation Institute (MOVES) | en_US |
etd.thesisdegree.grantor | Naval Postgraduate School | en_US |
dc.description.distributionstatement | Approved for public release; distribution is unlimited. |
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