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Title: An investigation into the effect of ageing on expert memory with CHREST
Authors: Smith, RL
Gobet, F
Lane, PCR
Keywords: Ageing;Cognitive architecture;CHREST;Chess;Charness;Computational Intelligence;Memory;Recall task;Expertise;Neural network;Chunking network;EPAM;Computer modeling;Eye movement;Template;Learning;Perception;Perceptual expertise;Short-term memory;STM
Issue Date: 2007
Publisher: The 2007 UK Workshop on Computational Intelligence
Citation: Proceedings of the United Kingdom Workshop On Computational Intelligence— UKCI07.
Abstract: CHREST is a cognitive architecture that models human perception, learning, memory, and problem solving, and which has successfully simulated numerous human experimental data on chess. In this paper, we describe an investigation into the effects of ageing on expert memory using CHREST. The results of the simulations are related to the literature on ageing. The study illustrates how Computational Intelligence can be used to understand complex phenomena that are affected by multiple variables dynamically evolving as a function of time and that have direct practical implications for human societies.
Appears in Collections:Psychology
Dept of Life Sciences Research Papers

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