Abstract
This paper deals with the implementation of emotions in a benevolent multi-agents system performing a specified task in a group to develop intelligent behavior and easier form of communication. The task is assigned by the user of the system and the user also evaluates the overall performance of the system according to his demand criteria. The overall group performance depends on the individual performance, group communication and synchronization of cooperation. With the emotional capability, each agent can distinguish the changed environment, can understand colleague’s state, enables adaptation and reacts with changed world. The behavior of an agent is derived from the dominating emotion in an intelligent manner. A stochastic model based on Markov theory is developed to model the emotional state of agent.
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Banik, S.C., Watanabe, K., Izumi, K. (2008). Intelligent Behavior Generation of Benevolent Agents with a Stochastic Model of Emotion. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69162-4_16
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DOI: https://doi.org/10.1007/978-3-540-69162-4_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69159-4
Online ISBN: 978-3-540-69162-4
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