CogSci2007 Conference: Workshop on Computational Cognitive Modeling

在整个科学领域，计算建模是连接不同层次分析的最广泛使用的方法之一，以显示一个层次的过程如何相互作用，从而在另一个层次上产生紧急系统行为。例如，在认知科学中，计算建模已被用于连接神经、心理和行为层面的分析。计算建模也是一个共同的基础，用于在认知科学的各个学科之间建立联系，如认知神经科学，语言学，计算机科学，心理学，人类学，哲学和教育。计算建模显然已经成为认知科学中一种有价值的、经常需要的技能，但对于进入该领域的学生和初级研究人员来说，获得和实践这种技能存在障碍。为了鼓励计算建模的实践，美国国家科学基金会将在2007年认知科学学会会议上支持学生的计算建模培训。支持的目的是让学生感兴趣，并参与计算建模，并提供教程，可能会刺激他们通过他们的机构和其他资源寻求进一步的培训机会。

Across the sciences, computational modeling is one the most widely-used methods for linking different levels of analysis, to show how processes at one level can interact to produce emergent system behavior at another level. Within the cognitive science, computational modeling has been used to link neural, mental, and behavioral levels of analysis, for instance. Computational modeling has also served as a common ground for drawing links across the various disciplines that comprise the cognitive sciences, such as cognitive neuroscience, linguistics, computer science, psychology, anthropology, philosophy, and education. Computational modeling has clearly become a valuable and oftentimes needed skill in the cognitive sciences, yet there are barriers to acquiring and practicing this skill for students and junior investigators entering the field. To encourage the practice of computational modeling, the National Science Foundation will support student training in computational modeling at the 2007 Meeting of the Cognitive Science Society. Support is aimed at getting students interested and involved in computational modeling, and providing tutorials that might spur them to seek further training opportunities through their institutions and other resources.