Donders Institute for Brain, Cognition, and Behaviour, Radboud University Nijmegen.
Top Cogn Sci. 2012 Jan;4(1):63-71; discussion 94-102. doi: 10.1111/j.1756-8765.2011.01173.x.
Four articles in this issue of topiCS (volume 4, issue 1) argue against a computational approach in cognitive science in favor of a dynamical approach. I concur that the computational approach faces some considerable explanatory challenges. Yet the dynamicists' proposal that cognition is self-organized seems to only go so far in addressing these challenges. Take, for instance, the hypothesis that cognitive behavior emerges when brain and body (re-)configure to satisfy task and environmental constraints. It is known that for certain systems of constraints, no procedure can exist (whether modular, local, centralized, or self-organized) that reliably finds the right configuration in a realistic amount of time. Hence, the dynamical approach still faces the challenge of explaining how self-organized constraint satisfaction can be achieved by human brains and bodies in real time. In this commentary, I propose a methodology that dynamicists can use to try to address this challenge.
本期专题（第 4 卷第 1 期）中有四篇文章反对认知科学中的计算方法，转而支持动力学方法。我同意计算方法确实面临一些相当大的解释挑战。然而，动态主义者关于认知是自我组织的观点似乎只是在一定程度上解决了这些挑战。例如，假设认知行为在大脑和身体（重新）配置以满足任务和环境约束时出现。众所周知，对于某些约束系统，不存在任何程序（无论是模块化、局部化、集中化还是自我组织化），可以在现实的时间内可靠地找到正确的配置。因此，动力学方法仍然面临着解释自我组织的约束满足如何在实时由人类大脑和身体实现的挑战。在这篇评论中，我提出了一种动态主义者可以用来尝试解决这一挑战的方法。
