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Using a physics engine in ACT-R to aid decision making


Pentecost, D and Sennersten, C and Ollington, R and Lindley, C and Kang, B, Using a physics engine in ACT-R to aid decision making, International Journal on Advances in Intelligent Systems, 9, (3-4) pp. 298-309. ISSN 1942-2679 (2016) [Professional, Refereed Article]

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Advanced 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 simulate aspects of human thought and reasoning. The research reported in this paper has developed an enhancement to Adaptive Control of Thought Rational (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. The method has been demonstrated by application in an autonomous squash player for which predictive version of ACT-R achieves significantly improved performance compared with the non-predictive version.

Item Details

Item Type:Professional, Refereed Article
Keywords:Cognitive Architectures; ACT-R; 3D Simulation
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Intelligent robotics
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Pentecost, D (Mr David Pentecost)
UTAS Author:Ollington, R (Dr Robert Ollington)
UTAS Author:Kang, B (Professor Byeong Kang)
ID Code:116497
Year Published:2016
Deposited By:Information and Communication Technology
Deposited On:2017-05-11
Last Modified:2017-05-11
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