Analysis of Cognitive Architecture in the Cultural Geography Model

dc.contributor.advisorDarken, Christian J.
dc.contributor.authorOng, Chin Chuan
dc.contributor.departmentModeling, Virtual Environments, and Simulation (MOVES)
dc.contributor.secondreaderCaldwell, Jason
dc.description.abstractThe Cultural Geography (CG) Model is a multi-agent discrete event simulation developed by TRAC-Monterey. It provides a framework to study the effects of operations in Irregular Warfare, by modeling behavior and interactions of populations. The model is based on social science theories; in particular, agent decision-making algorithms are built on Exploration Learning (EL) and Recognition-Primed Decision (RPD), and trust between entities is modeled to increase realism of interactions. This study analyzed the effects of these components on behavior and scenario outcome. It aimed to identify potential approaches for simplification of the model, and improve traceability and understanding of entity actions. The effect of using EL/RPD with/without trust was tested in basic stand-alone scenarios to assess its impact in isolation on entities perception of civil security. Further testing also investigated the influence on entity behavior in the context of obtaining resources from infrastructure nodes. The findings indicated that choice of decision-making methods did not significantly change scenario outcome, but variance across replications was greater when both EL and RPD were used. Trust was found to delay the rate of change in population stance due to interactions, but did not affect overall outcome if given sufficient time to reach steady state.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.serviceMajor, Singapore Armed Forcesen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.subject.authorCultural Geographyen_US
dc.subject.authorAgent-Based Modelingen_US
dc.subject.authorHuman Behavior Modelingen_US
dc.subject.authorSocial Simulationsen_US
dc.subject.authorReinforcement Learningen_US
dc.subject.authorRecognition Primed Decisionen_US
dc.titleAnalysis of Cognitive Architecture in the Cultural Geography Modelen_US
etd.thesisdegree.disciplineModeling, Virtual Environments, and Simulation Institute (MOVES)en_US
etd.thesisdegree.nameMaster of Science in Modeling, Virtual Environments, and Simulation (MOVES)en_US
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