Paper
30 April 2007 Artificial emotion triggered stochastic behavior transitions with motivational gain effects for multi-objective robot tasks
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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.
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Evren Dağlarli and Hakan Temeltaş "Artificial emotion triggered stochastic behavior transitions with motivational gain effects for multi-objective robot tasks", Proc. SPIE 6560, Intelligent Computing: Theory and Applications V, 65600S (30 April 2007); https://doi.org/10.1117/12.736077
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KEYWORDS
Stochastic processes

Computer architecture

Mobile robots

Control systems

Cognitive modeling

Mathematical modeling

Cognition

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