Crynodeb
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.
Iaith wreiddiol | Saesneg |
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Teitl | N/A |
Tudalennau | 469-475 |
Statws | Cyhoeddwyd - 29 Gorff 2009 |
Digwyddiad | Annual Conference of the Cognitive Science Society - Amsterdam Hyd: 29 Gorff 2009 → 1 Awst 2009 |
Cynhadledd
Cynhadledd | Annual Conference of the Cognitive Science Society |
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Cyfnod | 29/07/09 → 1/08/09 |