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 | |
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