Workshop Support: Behavioral and Cognitive Dynamics

动力系统方法对描述自然科学和工程科学中的一系列现象产生了重大影响。更重要的是，已经建立了预测模型，能够高保真地预测自然或人造机制和系统的复杂动态响应。这一发展支持了对自然运作的更深层次的理解，以及积极的干预和问题的解决，这支撑了人类社会的持续和进步。在国家科学基金会的支持下，康奈尔大学正在举办一个研讨会，讨论如何将动力系统同样应用于认知科学。研讨会邀请了来自社会、行为、认知科学、工程学和数学科学的演讲者和参与者。讨论围绕着来自动力系统的概念和方法来塑造认知科学家提出的研究问题和经验方法的可能性。来自认知科学的基准问题和例子被用来帮助使讨论变得清晰和集中。组织者计划通过编辑后的卷和期刊文章的方式来传播研讨会的成果，这两种方式都是为了接触到广泛的科学家和工程师受众。

Dynamical systems methods have had significant impact on the characterization of a range of phenomena in the natural and engineering sciences. More importantly, predictive models have been formulated that enable high-fidelity prediction of complex dynamical responses of natural or man-made mechanisms and systems. This development has supported a deeper understanding of the workings of nature coupled with active intervention and problem solving that has sustained and advanced human society.With support from the National Science Foundation, a workshop is being held at Cornell University to discuss how dynamical systems can similarly be brought to bear on the cognitive sciences. The workshop features invited speakers and participants from the social, behavioral, cognitive, engineering, and mathematical sciences. Discussions center around the potential for concepts and methods from dynamical systems to shape the research questions and empirical methods asked by cognitive scientists. Benchmark problems and examples from the cognitive sciences are used to help bring clarity and focus to the discussions. The organizers plan to disseminate the results of the workshop by means of an edited volume and a journal article, both designed to reach a broad audience of scientists and engineers.