人类社会行为和神经科学的计算模型:一个开放的教育课程和木星书,以推进计算训练

Shawn A. Rhoads, Lin Gan
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引用次数: 1

摘要

我们提供了一个为期一学期的教育课程(见14周的时间表)和Jupyter Book,该课程在指定、实现和解释表征人类社会行为和神经科学的计算模型方面提供了入门培训。通过阅读、讨论和实验室(例如,使用Python的Jupyter Notebook教程),学生将接受使用数学模型测试特定理论和假设的实践培训,并解释复杂社会认知过程和行为的不可观察方面。这些方面广泛包括向他人学习和为他人学习,了解他人,以及社会对决策和心理状态的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational models of human social behavior and neuroscience: An open educational course and Jupyter Book to advance computational training
We present a semester-long educational course (see 14-week schedule) and Jupyter Book that provides introductory training in specifying, implementing, and interpreting computational models that characterize human social behavior and neuroscience. Through readings, discussions, and labs (e.g., Jupyter Notebook tutorials using Python), students will receive hands-on training in using mathematical models to test specific theories and hypotheses and explain unobservable aspects of complex social cognitive processes and behaviors. These aspects broadly include learning from and for others, learning about others, and social influences on decision-making and mental states.
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