Integrating ACT-R and Cyc in a Large-Scale Model of Language Comprehension for Use in Intelligent Agents

Jerry Ball, Stuart Rodgers, and Kevin Gluck

This paper describes a research program for the creation of a large-scale model of language comprehension for use in the development of language enabled intelligent agents. The language comprehension system is being implemented using the ACT-R cognitive architecture and modeling environment and adopts the cognitive principles and constraints of that architecture. The paper focuses on issues arising from the initial attempt to integrate the Cyc knowledge base into the language comprehension system as a means of scaling up the knowledge of the system to a size suitable for the development of intelligent agents.


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