Abstract
This presentation delves into information modeling methods within the realm of social sciences, specifically focusing on "Agent-based Modeling" (ABM). ABM involves the meticulous observation and analysis of computer entities known as "agents" in experimental simulations. The research emphasizes the application of ABM to study complex phenomena, using the example of tourism activities on Phu Quoc island. By scrutinizing the behavior of these agents, the study aims to enhance decision-making precision and quantify various aspects. Through simulations, cause-and-effect relationships can be identified, allowing for the testing of multiple scenarios and validation of initial hypotheses.
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