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

Sajal Chandra Banik; Keigo Watanabe; Kiyotaka Izumi

doi:10.1007/s10015-008-0540-6

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 journal › Article › peer-review

2 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	162-166
Number of pages	5
Journal	Artificial Life and Robotics
Volume	13
Issue number	1
DOIs	https://doi.org/10.1007/s10015-008-0540-6
Publication status	Published - Dec 1 2008
Externally published	Yes

Keywords

Benevolent agent
Emotion
Emotion inducing factor
Individuality factor
Markovian emotion model

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Artificial Intelligence

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AU - Izumi, Kiyotaka

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N2 - 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.

AB - 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.

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KW - Emotion inducing factor

KW - Individuality factor

KW - Markovian emotion model

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

Abstract

Keywords

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