Abstract
This thesis presents approaches to model people and SOP in disaster scenarios. The purposed approaches remove the shortcoming that most behaviors of agent are bound to models in disaster simulators and make experimenters can change behaviors through SOP input. As a result, experimenters can easily build simulators he/she wanted through combining models of people, models of SOP and disaster scenarios together for the purpose of tuning SOP. The approaches considered here make use of Goal Operations Methods and Selection rules(GOMS) Model for modeling SOP, and Cognitive, Perceptive and Motor - GOMS(CPM-GOMS) and Agent-Based Model(ABM) for modeling individual people. Moreover, there are two approaches: Bottom-up and Top-down approaches to combines models together in disaster scenarios. Finally, this purposed approaches are implemented and demonstrated in the framework of Agent-Based Disaster Simulation Environment(ABDiSE) as an extension.