A Qualitative Comparative Evaluation of Cognitive and Generative Theories
This addresses evaluation difficulties for researchers in cognitive science and AI, but appears incremental as it applies existing evaluation perspectives without new methods.
The paper tackles the challenge of evaluating theories based on cognitive and generative architectures by conducting a qualitative comparative analysis of whole-mind-oriented systems, but does not report concrete numerical results.
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.