Abstract

The Cognitive Model of Cognition (CMC) describes a consensus among many researchers about architectural assumptions that define aspects of humanlike minds, whether natural or artificial. This consensus combines ideas from several existing cognitive architectures. Our research group has been developing a theory and an implemented system to do humanlike language comprehension within an embodied autonomous agent. This paper analyzes how this theory of humanlike language comprehension maps onto the CMC, what extensions to the CMC it might suggest, and what major challenges for the CMC come from applying it to language processing.

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