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

Evren Daǧlarli*, Hakan Temeltaş

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationIntelligent Computing
Subtitle of host publicationTheory and Applications V
DOIs
Publication statusPublished - 2007
EventIntelligent Computing: Theory and Applications V - Orlando, FL, United States
Duration: 9 Apr 200710 Apr 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6560
ISSN (Print)0277-786X

Conference

ConferenceIntelligent Computing: Theory and Applications V
Country/TerritoryUnited States
CityOrlando, FL
Period9/04/0710/04/07

Keywords

  • Artificial emotions
  • Autonomous systems
  • Behavior transitions
  • Markov model
  • Motivation effect
  • Robotics

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