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Proceedings Paper

Artificial emotion triggered stochastic behavior transitions with motivational gain effects for multi-objective robot tasks
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Paper Abstract

This paper presents artificial emotional system based autonomous robot control architecture. Hidden Markov model developed as mathematical background for stochastic emotional and behavior transitions. Motivation module of architecture considered as behavioral gain effect generator for achieving multi-objective robot tasks. According to emotional and behavioral state transition probabilities, artificial emotions determine sequences of behaviors. Also motivational gain effects of proposed architecture can be observed on the executing behaviors during simulation.

Paper Details

Date Published: 30 April 2007
PDF: 9 pages
Proc. SPIE 6560, Intelligent Computing: Theory and Applications V, 65600S (30 April 2007); doi: 10.1117/12.736077
Show Author Affiliations
Evren Dağlarli, Istanbul Technical Univ. (Turkey)
Hakan Temeltaş, Istanbul Technical Univ. (Turkey)


Published in SPIE Proceedings Vol. 6560:
Intelligent Computing: Theory and Applications V
Kevin L. Priddy; Emre Ertin, Editor(s)

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