「人類社會行為的多重主體模擬」
本校特別從美國聘請名師親自教學,首次來台灣推廣NetLogo
到底是什麼課程?我們一直希望能夠預測未來,
例如我們的里長關心流浪貓如果不結紮的話,
透過NetLogo的學習,可以將上述大家關心的問題,
本課程不需先備能力,適合初學者,歡迎選修
本課程的目的是向人文和社會科學領域的學生介紹適合研究人類行為
通過本課程的學習,學生將會獲得的能力:
1. 對人類行為進行基本的社會科學解釋
2. 了解模型建構對學術研究的貢獻
3. 將模型建構的練習整合在廣大的研究議題當中
4. 概念化和構建社會系統的簡單模型,例如資源消耗和再生、
5. 設計自己的研究計畫,發展概念化和建模策略、進行模型執行、
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Donald M. Braxton講座教授為宗教與科學(Religion and Science)領域之專家學者,
Braxton講座教授所提供的課程除適合人文社會科學的學生外
本課程以全英語授課,協助同學培育國際觀。
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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.