寻找认知表现的一般原则:回复评论员

Damian G. Stephen, G. Orden
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引用次数: 16

摘要

评论者对认知表现的非计算性非符号化解释的相关性和价值表示关注。但是,所谓的“解释”取决于实证科学背后的理论前假设,这些假设是关于首先寻找的变量和关系的种类,而目前的一些分歧源于不相称的假设。传统认知科学假定认知是一个可分解的系统,由组件根据计算规则相互作用以产生认知性能(即组件主导动力学)。我们将首要任务分配给组件之间的交互主导动态。尽管在事实发生之前,任何一种选择都可能是一个很好的猜测,但互动的首要地位现在得到了认知科学中最近许多实证工作的支持。因此,总的来说,到目前为止,评论员们未能解决越来越多的证据,这些证据证实了复杂性科学的理论驱动的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Searching for General Principles in Cognitive Performance: Reply to Commentators
The commentators expressed concerns regarding the relevance and value of non-computational non-symbolic explanations of cognitive performance. But what counts as an “explanation” depends on the pre-theoretical assumptions behind the scenes of empirical science regarding the kinds of variables and relationships that are sought out in the first place, and some of the present disagreements stem from incommensurate assumptions. Traditional cognitive science presumes cognition to be a decomposable system of components interacting according to computational rules to generate cognitive performances (i.e., component-dominant dynamics). We assign primacy to interaction-dominant dynamics among components. Though either choice can be a good guess before the fact, the primacy of interactions is now supported by much recent empirical work in cognitive science. Consequently, in the main, the commentators have failed so far to address the growing evidence corroborating the theory-driven predictions of complexity science.
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