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


Dağlarlı E. , Temeltaş H.

Conference on Intelligent Computing - Theory and Applications V, Florida, United States Of America, 9 - 10 April 2007, vol.6560 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 6560
  • Doi Number: 10.1117/12.736077
  • City: Florida
  • Country: United States Of America

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.