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 languageEnglish
Pages (from-to)217-229
JournalLecture Notes in Computer Science
Volume7064
DOIs
Publication statusPublished - 2011
Event18th International Conference on Neural Information Processing, ICONIP'11, Part III -
Duration: 1 Jan 20111 Jan 2011

Bibliographical note

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

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