15 citations · 25 across the 4 of their papers we have counts for
5 papers · 1 filter
Introduction to Soar
John E. Laird
This paper is the recommended initial reading for a functional overview of Soar, version 9.6. It includes an abstract overview of the architectural structure of Soar including its…
An Analysis and Comparison of ACT-R and Soar
John E. Laird
This is a detailed analysis and comparison of the ACT-R and Soar cognitive architectures, including their overall structure, their representations of agent data and metadata, and t…
Language Models as a Knowledge Source for Cognitive Agents
Robert E. Wray, III, James R. Kirk +1
Language models (LMs) are sentence-completion engines trained on massive corpora. LMs have emerged as a significant breakthrough in natural-language processing, providing capabilit…
A Computational Model for Situated Task Learning with Interactive Instruction
Shiwali Mohan, James Kirk, John Laird
Learning novel tasks is a complex cognitive activity requiring the learner to acquire diverse declarative and procedural knowledge. Prior ACT-R models of acquiring task knowledge f…
An Architectural Approach to Ensuring Consistency in Hierarchical Execution
J. E. Laird, R. E. Wray
Hierarchical task decomposition is a method used in many agent systems to organize agent knowledge. This work shows how the combination of a hierarchy and persistent assertions of…