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.
| Original language | English |
|---|---|
| Journal | Proceedings of The Seventh UK Workshop on Computational Intelligence |
| Volume | 2007 |
| Publication status | Published - 2007 |
Keywords
- cognitive architecture
- CHREST
- ageing
- chess
- perception
- learning
- memory
- problem solving