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dc.contributor.advisorSciarini, Lee
dc.contributor.advisorGuerrero, Michael
dc.contributor.advisorMcDowell, Perry
dc.contributor.authorGuthrie, Pierce C.
dc.dateJun-17
dc.date.accessioned2017-08-14T16:48:16Z
dc.date.available2017-08-14T16:48:16Z
dc.date.issued2017-06
dc.identifier.urihttp://hdl.handle.net/10945/55610
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.descriptionSupplementary material in library RRS
dc.description.abstractThe Marine Corps utilizes virtual simulations as a training tool for ground combat operations. Currently, the artificial intelligence of simulation entities does not exhibit appropriate performance degradation due to environmental conditions, such as heat and humidity. To address these gaps, this thesis reviews existing approaches to modeling the influence of environmental factors, specifically heat and humidity, on human performance in vigilance and attention tasks. We present a novel agent behavior model that incorporates a modified A* search pathfinding algorithm based on empirical evidence of human information processing under the specified environmental conditions. Next, an implementation of the agent behavior model is presented in a military-relevant virtual game environment. We then outline a quantitative approach to test the agent behavior model within the virtual environment. Results show that our human information processing–based agent behavior model demonstrates plausible agent performance degradation in hot, humid temperature environments when compared to paths around the danger area in mild temperature environments. The results of this research provide an approach for implementing an agent behavior model that accounts for environmental impacts on cognitive performance. We recommend future work to validate the model in a human subjects experiment to facilitate improving the realism of simulation training.en_US
dc.description.urihttp://archive.org/details/modelingenvironm1094555610
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.titleModeling environmental impacts on cognitive performance for artificially intelligent entitiesen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Science (CS)
dc.subject.authorvigilanceen_US
dc.subject.authorattentionen_US
dc.subject.authorpath findingen_US
dc.subject.authorA* searchen_US
dc.subject.authorhuman information processingen_US
dc.description.recognitionOutstanding Thesis
dc.description.serviceCaptain, United States Marine Corpsen_US
etd.thesisdegree.nameMaster of Science in Modeling, Virtual Environments, and Simulationen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineModeling, Virtual Environments, and Simulationen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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