The Common Model of Cognition and humanlike language comprehension | Zendy

Peter Lindes | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

The Common Model of Cognition and humanlike language comprehension

Author(s) -

Peter Lindes

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.11.032

Subject(s) - embodied cognition , computer science , comprehension , cognition , cognitive science , cognitive robotics , artificial intelligence , human–computer interaction , psychology , programming language , neuroscience

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research