IPAM/Statistics Graduate Workshop

本次研讨会名为“认知的概率模型：心智的数学”，将汇集来自认知科学、计算机科学、数学和统计学领域的领导者，他们对开发认知各方面的通用数学框架感兴趣，并回顾它如何解释视觉、记忆、推理、学习、规划和语言等经验现象。这个项目的动机是最近的进展，提供了数学模拟人类认知的希望。本次研讨会将由主要的教师级讲师和研究生、博士后研究人员以及对认知概率模型及其应用感兴趣的高级研究人员进行演讲。与会者将代表多个学科，包括认知科学、神经科学、计算机科学、数学、物理学、统计学、工程学和教育学。对教育感兴趣的研究人员应该配备广泛的新的计算、数学和统计工具，通过开发质量更强大的人类学习模型，这些工具可用于改进教育技术、课程设计和评估。所有这些领域的研究人员，以及基础认知科学研究人员，都应该从一个前所未有的跨学科环境中相互交流和学习新一代认知建模方法中受益匪浅，讲座和讨论中既有基础研究主题，也有应用研究主题。

The proposed workshop, 'Probabilistic Models of Cognition: The Mathematics of Mind,' will bring together leaders from cognitive science, computer science, mathematics, and statistics who are interested in developing a common mathematical framework for all aspects of cognition, and review how it explains empirical phenomena such as vision, memory, reasoning, learning, planning, and language. This program is motivated by recent advances which offer the promise of modeling human cognition mathematically. The workshop will entail presentations by leading faculty-level lecturers and an audience of graduate students, postdoctoral researchers, and more senior researchers interested in focusing their efforts on probabilistic models of cognition and their applications. Attendees will represent a number of disciplines, including cognitive science, neuroscience, computer science, mathematics, physics, statistics, engineering, and education. Researchers interested in education should be equipped with a wide range of new computational, mathematical and statistical tools that can be used to improve educational technology, curriculum design and assessment, through the development of qualitatively more powerful models of human learning. Researchers in all of these fields, as well as basic cognitive-science researchers, should benefit immensely from interacting with each other and learning about this new generation of cognitive modeling approaches in an unprecedented interdisciplinary environment, with both basic and applied research themes represented among the lectures and discussions.