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","Master of Science in Materials Science and Engineering (M.S.M.S.E.)","College of Engineering and Computer Science","Electrical Engineering and Computer Science","Modeling and Simulation"]},{"key":"dc:description.abstract","label":"Abstract","values":["Developing training scenarios that induce a trainee to utilize specific skills is one of the facets of simulation-based training that requires significant effort. Simulation-based training systems have become more complex in recent years. Because of this added complexity, the amount of effort required to generate and maintain training scenarios has increased. This thesis describes an investigation into automating the scenario generation process. The Automated Scenario Generation System (ASGS) generates expected action flow as contexts in chronological order from several events and tasks with estimated time for the entire training mission. When the training objectives and conditions are defined, the ASGS will automatically generate a scenario, with some randomization to ensure no two equivalent scenarios are identical. This makes it possible to train different groups of trainees sequentially who may have the same level or training objectives without using a single scenario repeatedly. The thesis describes the prototype ASGS and the evaluation results are described and discussed. SVSTM Desktop is used as the development infrastructure for ASGS as prototype training system."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Automated Scenario Generation System In A Simulation"]}]}],"canonical_facts":{"dc:contributor":["Gonzalez, Avelino"],"dc:creator":["Tomizawa, Hajime"],"dc:description":["If this is your thesis or dissertation, and want to learn how to access it or for more information about readership statistics, contact us at STARS@ucf.edu
","Master of Science in Materials Science and Engineering (M.S.M.S.E.)","College of Engineering and Computer Science","Electrical Engineering and Computer Science","Modeling and Simulation"],"dc:description.abstract":["Developing training scenarios that induce a trainee to utilize specific skills is one of the facets of simulation-based training that requires significant effort. Simulation-based training systems have become more complex in recent years. Because of this added complexity, the amount of effort required to generate and maintain training scenarios has increased. This thesis describes an investigation into automating the scenario generation process. The Automated Scenario Generation System (ASGS) generates expected action flow as contexts in chronological order from several events and tasks with estimated time for the entire training mission. When the training objectives and conditions are defined, the ASGS will automatically generate a scenario, with some randomization to ensure no two equivalent scenarios are identical. This makes it possible to train different groups of trainees sequentially who may have the same level or training objectives without using a single scenario repeatedly. The thesis describes the prototype ASGS and the evaluation results are described and discussed. SVSTM Desktop is used as the development infrastructure for ASGS as prototype training system."],"dc:format":["application/pdf"],"dc:identifier":["CFE0001336"],"dc:identifier.uri":["https://stars.library.ucf.edu/etd/851"],"dc:language":["English"],"dc:subject":["Scenario generation","military training","context-based reasoning","Engineering"],"dc:title":["Automated Scenario Generation System In A Simulation"],"dc:type":["Masters Thesis (Open Access)"]},"updated_at":"2026-07-24T05:09:25Z"}