「人类社会行为的多重主体模拟」
本校特别从美国聘请名师亲自教学,首次来台湾推广NetLogo
到底是什么课程?我们一直希望能够预测未来,
例如我们的里长关心流浪猫如果不结紮的话,
透过NetLogo的学习,可以将上述大家关心的问题,
本课程不需先备能力,适合初学者,欢迎选修
本课程的目的是向人文和社会科学领域的学生介绍适合研究人类行为
通过本课程的学习,学生将会获得的能力:
1. 对人类行为进行基本的社会科学解释
2. 了解模型建构对学术研究的贡献
3. 将模型建构的练习整合在广大的研究议题当中
4. 概念化和构建社会系统的简单模型,例如资源消耗和再生、
5. 设计自己的研究计画,发展概念化和建模策略、进行模型执行、
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Donald M. Braxton讲座教授为宗教与科学(Religion and Science)领域之专家学者,
Braxton讲座教授所提供的课程除适合人文社会科学的学生外
本课程以全英语授课,协助同学培育国际观。
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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.