Cognitive Modeling of Strategies in Dynamic Tasks

De Obeso Orendain, Alberto and Wood, Sharon (2010) Cognitive Modeling of Strategies in Dynamic Tasks. In: Proceedings of 10th International Conference on Cognitive Modeling.

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Abstract

Computer simulations, or microworlds, have been used for studying various topics including problem solving. This work investigates strategies for complex, dynamic problem solving in a fire-fighting microworld. Using data from a study by Canas, Antol, Fajardo & Salmern (2005), an ACT-R cognitive model is developed with the aim of providing insight into the development and selection of strategies participants use. One particular behavior observed in participants when trained repetitively on the same scenario, the creation of a fire-break barrier to prevent the fire spreading, is discussed. It was found that selection of a particular strategy depends on the fine-tuning of ACT-R production rule utilities as a consequence of environmental rewards, highlighting the role of reward size and timing. The model is able to capture various aspects of the data by promoting a free competition of small blocks of behavior based on rational analysis. A key finding is that good performance is linked to effective combination of strategic control with attention to changing task demands reflecting time and care taken in informing and effecting action.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Alberto De Obeso Orendain
Date Deposited: 06 Feb 2012 20:24
Last Modified: 13 Apr 2012 14:14
URI: http://sro.sussex.ac.uk/id/eprint/25769
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