Conference: Support for Computational Cognitive Modeling at CogSci 2006

在整个科学领域，计算建模是一种最广泛使用的方法，用于连接不同层次的分析，以显示一个层次上的过程如何相互作用，以产生另一个层次上的紧急系统行为。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。计算建模还作为一个共同的基础，用于绘制包括认知科学在内的各个学科之间的联系，例如认知神经科学、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项有价值且经常需要的技能，然而对于进入该领域的学生和初级研究人员来说，获取和实践这一技能存在障碍。为了鼓励计算建模的实践，美国国家科学基金会将为提交给认知科学学会2006年会议的计算建模作品提供奖品和教程。这些奖项和教程旨在让学生对计算建模产生兴趣并参与其中，并提供一些初步培训，可能会激励他们通过机构和其他资源寻求进一步的培训。

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 contribute to prizes and tutorials for computational modeling submissions to the 2006 Meeting of the Cognitive Science Society. The prizes and tutorials will be aimed at getting students interested and involved in computational modeling, and to provide some initial training that might spur them to seek further training through their institutions and other resources.