IPAM/Statistics Graduate Workshop

拟议中的研讨会名为《认知的概率模型：心灵的数学》，将汇集认知科学、计算机科学、数学和统计学的领导者，他们有兴趣为认知的所有方面开发一个共同的数学框架，并审查它如何解释视觉、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，这些进展提供了对人类认知进行数学建模的希望。研讨会将由顶尖的教员级讲师和研究生、博士后研究人员以及更资深的研究人员发表演讲，他们对认知的概率模型及其应用感兴趣。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、统计学、工程学和教育学。对教育感兴趣的研究人员应配备各种新的计算、数学和统计工具，这些工具可用于改进教育技术、课程设计和评估，方法是开发质量更强大的人类学习模型。所有这些领域的研究人员，以及基本的认知科学研究人员，都应该从彼此的互动中受益匪浅，并在一个前所未有的跨学科环境中学习这种新一代认知建模方法，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.