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.
|Statws||Cyhoeddwyd - 29 Gorff 2009|
|Digwyddiad|| Annual Conference of the Cognitive Science Society - Amsterdam|
Hyd: 29 Jul 2009 → 1 Aug 2009
|Cynhadledd||Annual Conference of the Cognitive Science Society|
|Cyfnod||29/07/09 → 1/08/09|