A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Using a Cognitive Model for an In-Depth Analysis of the Tower of London Publication Date Using a Cognitive Model for an In-Depth Analysis of the Tower of London
unpublished
The Tower of London (ToL) is a transformation task extensively used and well-established as a neuropsychological diagnostic tool for assessing human planning ability in clinical and research contexts. Behavioral experiments have recently shown that planning in the ToL is substantially influenced by structural task parameters. This work presents an ACT-R model of the ToL that explains structural influences by using different strategies, whereby, strategy selection depends on visually observable
fatcat:bfnkf6a2p5acdnom2oxwflje7q