The use of entropy for analysis and control of cognitive models

Belavkin, Roman V. and Ritter, Frank E (2003) The use of entropy for analysis and control of cognitive models. In: The Fifth International Conference on Cognitive Modelling, 2003, Bamberg, Germany.

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Abstract

Measures of entropy are useful for explaining the behaviour of cognitive models. We demonstrate that entropy can not only help to analyse the performance of the model, but it can be used to control model pararmeters and improve the match between the model and data. We present a cognitive model that uses local computations of entropy to moderate its own behaviour and matches the data fairly well.

Item Type:Conference or Workshop Item (Paper)
Research Areas:Middlesex University Schools and Centres > School of Science and Technology > Computer Science
Middlesex University Schools and Centres > School of Science and Technology > Computer Science > Artificial Intelligence group
ID Code:11
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Deposited On:08 Sep 2008 15:14
Last Modified:09 Dec 2014 13:39

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