Donald M. Braxton講座教授為宗教與科學(Religion and Science)領域之專家學者，
The purpose of the course is to introduce students in the humanities and the social sciences to computer modeling techniques ideally suited to the study of human behavior. Among the various modeling techniques that might be employed, multi-agent modeling (often abbreviated as ABM for“agent based modeling) is the most nuanced and effective tool for studying complex social systems. Students will be introduced to one of the most popular simulation platforms called Netlogo. Students will learn the basic theoretical and practical concepts of social simulations, what models can and cannot do, what kinds of questions they might answer, and the technical skills to build their own models.
Student achievements will be:
- Engaging some basic social-scientific explanations of human behaviors
- Understanding the contributions modeling can make to academic studies
- Integrating the modeling exercise into larger research agendas
- Conceptualizing and building simple models of social systems such as resource consumption and renewal, traffic patterns, dissemination of cultural information through social networks, and segregation patterns around racial and cultural differences.
- Articulating a unique project of their own devising, conceptualizing the modeling strategy, implementing the model, analyzing the results, and summarizing what was and was not discovered.