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Predictive ACT-R (PACT-R): Using a physics engine and simulation for physical prediction in a cognitive architecture
conference contribution
posted on 2023-05-23, 12:00 authored by Pentecost, D, Sennersten, C, Robert OllingtonRobert Ollington, Lindley, CA, Byeong KangByeong KangAdvanced Cognitive Technologies can use cognitive architectures as a basis for higher level reasoning in Artificial Intelligence (AI). Adaptive Control of Thought – Rational (ACT-R) is one such cognitive architecture that attempts to replicate aspects of human thought and reasoning. The research reported in this paper has developed an enhancement to ACT-R that will allow greater understanding of the environment the AI is situated in. Former research has shown that humans perform simple mental simulations to predict the outcomes of events when faced with complex physical problems. Inspired by this, the research reported here has developed Predictive ACT-R (PACT-R), based upon integrating a three dimensional (3D) simulation of the AI’s environment to allow it to predict, reason about, and then act on, what is happening, or about to happen, in its environment. Here, it is demonstrated by application in an autonomous squash player that the predictive version of ACT-R achieves significantly improved performance compared with the non-predictive version.
History
Publication title
Proceedings of the 8th International Conference on Advanced Cognitive Technologies and Applications (COGNITIVE 2016)Editors
C Sennersten, Y KhalufPagination
22-32ISBN
978-1-61208-462-6Department/School
School of Information and Communication TechnologyPublisher
IARIA XPS PressPlace of publication
Rome, ItalyEvent title
8th International Conference on Advanced Cognitive Technologies and ApplicationsEvent Venue
Rome, ItalyDate of Event (Start Date)
2016-03-20Date of Event (End Date)
2016-03-24Rights statement
Copyright 2016 IARIARepository Status
- Restricted