Abstract
GLAM-PS (Glamorgan Problem Solver) is a production system model of problem solving in the Tower of London (TOL) puzzle. It is introduced as a draft cognitive architecture that is similar to John Anderson's (1998, 2004) ACT-R, but represents system goals, long term memory and production memory modally, rather than amodally. The current paper demonstrates how GLAM-PS models problem solving on 3-disk TOL problems (a comparison with human data is also made). GLAM-PS uses representations of intended actions to control behaviour and planning utilizes the simulation of future problem states.
| Original language | English |
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| Title of host publication | N/A |
| Pages | 469-475 |
| Publication status | Published - 29 Jul 2009 |
| Event | 2009 Annual Conference of the Cognitive Science Society - Amsterdam Duration: 29 Jul 2009 → 1 Aug 2009 |
Conference
| Conference | 2009 Annual Conference of the Cognitive Science Society |
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| Period | 29/07/09 → 1/08/09 |
Keywords
- embodied cognition
- cognitive architecture
- problem solving