Department of Psychology, Stanford University, Building 420, 450 Serra Mall, Stanford, CA 94305, USA.
Trends Cogn Sci. 2010 Aug;14(8):348-56. doi: 10.1016/j.tics.2010.06.002. Epub 2010 Jul 2.
Connectionist and dynamical systems approaches explain human thought, language and behavior in terms of the emergent consequences of a large number of simple noncognitive processes. We view the entities that serve as the basis for structured probabilistic approaches as abstractions that are occasionally useful but often misleading: they have no real basis in the actual processes that give rise to linguistic and cognitive abilities or to the development of these abilities. Although structured probabilistic approaches can be useful in determining what would be optimal under certain assumptions, we propose that connectionist, dynamical systems, and related approaches, which focus on explaining the mechanisms that give rise to cognition, will be essential in achieving a full understanding of cognition and development.
连接主义和动力系统方法根据大量简单非认知过程的涌现结果来解释人类的思维、语言和行为。我们认为，作为结构化概率方法基础的实体是偶尔有用但常常具有误导性的抽象概念：它们在产生语言和认知能力的实际过程中没有真正的基础，也没有在这些能力的发展中起到基础作用。虽然结构化概率方法在确定在某些假设下什么是最优的方面可能很有用，但我们提出，连接主义、动力系统和相关方法侧重于解释产生认知的机制，对于全面理解认知和发展将是必不可少的。
