A computational model of emotion through the perspective of benevolent agents for a cooperative task

Sajal Chandra Banik, Keigo Watanabe, Kiyotaka Izumi

Research output: Contribution to journalArticle

2 Citations (Scopus)


This paper deals with a computational model of emotions and its application for cooperative benevolent agents. A stochastic emotion model based on Markov theory is adapted to perform their well organized tasks to achieve goal. The emotional model consists of four basic emotions: joy, anger, fear and sad. Different emotional behavior is obtained by updating the state transition matrix of stochastic model. Perception of stimuli has an impact on emotion inducing factors and thus, affects on emotion dynamics. With the developed model, a Matlab based simulation is performed to analyze the behavior of the agents with the emotional capability.

Original languageEnglish
Pages (from-to)162-166
Number of pages5
JournalArtificial Life and Robotics
Issue number1
Publication statusPublished - 2008
Externally publishedYes



  • Benevolent agent
  • Emotion
  • Emotion inducing factor
  • Individuality factor
  • Markovian emotion model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Biochemistry, Genetics and Molecular Biology(all)

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