对比认知与生成模型的理论评价方法，揭示其评估难点与差异。
A Qualitative Comparative Evaluation of Cognitive and Generative Theories
- 从整体认知视角出发，定性比较两类架构的理论设计。
- 指出两类模型在理论评估中均面临相似挑战。
- 适合关注理论可解释性与模型评估的研究者阅读。
理论评估是任何理论研究的关键环节。然而，基于认知架构的理论评估极具挑战性；同样，基于生成式神经架构的理论也面临类似困境。本文通过拓宽理论评估的视角，对面向全脑的认知架构与生成式架构及其所构建的完整系统，进行了广泛而定性的对比分析，旨在揭示两类架构在理论评估中的共性难题与本质差异。
原文摘要 · Abstract (English)
Evaluation is a critical activity associated with any theory. Yet this has proven to be an exceptionally challenging activity for theories based on cognitive architectures. For an overlapping set of reasons, evaluation can also be challenging for theories based on generative neural architectures. This dual challenge is approached here by leveraging a broad perspective on theory evaluation to yield a wide-ranging, albeit qualitative, comparison of whole-mind-oriented cognitive and generative architectures and the full systems that are based on these architectures.
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