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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title = "On Rationality of Decision Models Incorporating Emotion-Related Valuing and Hebbian Learning",

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. {\textcopyright} 2011 Springer-Verlag.",

author = "J. Treur and M. Umair",

note = "Proceedings title: Proceedings of the 18th International Conference on Neural Information Processing, ICONIP'11, Part III; 18th International Conference on Neural Information Processing, ICONIP'11, Part III ; Conference date: 01-01-2011 Through 01-01-2011",

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PY - 2011

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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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JF - Lecture Notes in Computer Science

T2 - 18th International Conference on Neural Information Processing, ICONIP'11, Part III

Y2 - 1 January 2011 through 1 January 2011

ER -

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

Abstract

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