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Predictive ACT-R (PACT-R): Using a physics engine and simulation for physical prediction in a cognitive architecture

Citation

Pentecost, D and Sennersten, C and Ollington, R and Lindley, CA and Kang, B, Predictive ACT-R (PACT-R): Using a physics engine and simulation for physical prediction in a cognitive architecture, COGNITIVE 2016: 8hth International Conference on Advanced Cognitive Technologies and Applications, 20-24 March 2016, Rome, Italy, pp. 22-32. ISBN 978-1-61208-462-6 (2016) [Refereed Conference Paper]


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Copyright Statement

Copyright 2016 IARIA

Official URL: https://www.iaria.org/conferences2016/COGNITIVE16....

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 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 AIs 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.

Item Details

Item Type:Refereed Conference Paper
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:116496
Year Published:2016
Deposited By:Computing and Information Systems
Deposited On:2017-05-11
Last Modified:2017-11-13
Downloads:0

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