eCite Digital Repository

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

Citation

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]


Preview
PDF
Pending copyright assessment - Request a copy
698Kb
  

Abstract

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 and Image Processing
Research Field:Adaptive Agents and Intelligent Robotics
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Information and Computing Sciences
Author:Pentecost, D (Mr David Pentecost)
Author:Ollington, R (Dr Robert Ollington)
Author:Kang, B (Professor Byeong Kang)
ID Code:116497
Year Published:2016
Deposited By:Computing and Information Systems
Deposited On:2017-05-11
Last Modified:2017-05-11
Downloads:0

Repository Staff Only: item control page