Representing Goals Modally: A Production System Model of Problem Solving in the Tower of London

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationN/A
Pages469-475
Publication statusPublished - 29 Jul 2009
Event2009 Annual Conference of the Cognitive Science Society - Amsterdam
Duration: 29 Jul 20091 Aug 2009

Conference

Conference2009 Annual Conference of the Cognitive Science Society
Period29/07/091/08/09

Keywords

  • embodied cognition
  • cognitive architecture
  • problem solving

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