On Rationality of Decision Models Incorporating Emotion-Related Valuing and Hebbian Learning

J. Treur; M. Umair

doi:10.1007/978-3-642-24965-5_24

On Rationality of Decision Models Incorporating Emotion-Related Valuing and Hebbian Learning

J. Treur
, M. Umair

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Abstract

In this paper an adaptive decision model based on predictive loops through feeling states is analysed from the perspective of rationality. Four different variations of Hebbian learning are considered for different types of connections in the decision model. To assess the extent of rationality, a measure is introduced reflecting the environment's behaviour. Simulation results and the extents of rationality of the different models over time are presented and analysed. © 2011 Springer-Verlag.

Original language	English
Pages (from-to)	217-229
Journal	Lecture Notes in Computer Science
Volume	7064
DOIs	https://doi.org/10.1007/978-3-642-24965-5_24
Publication status	Published - 2011
Event	18th International Conference on Neural Information Processing, ICONIP'11, Part III - Duration: 1 Jan 2011 → 1 Jan 2011

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Proceedings title: Proceedings of the 18th International Conference on Neural Information Processing, ICONIP'11, Part III

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AB - In this paper an adaptive decision model based on predictive loops through feeling states is analysed from the perspective of rationality. Four different variations of Hebbian learning are considered for different types of connections in the decision model. To assess the extent of rationality, a measure is introduced reflecting the environment's behaviour. Simulation results and the extents of rationality of the different models over time are presented and analysed. © 2011 Springer-Verlag.

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On Rationality of Decision Models Incorporating Emotion-Related Valuing and Hebbian Learning

Abstract

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