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Model of Emotional Agent

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Agent Computing and Multi-Agent Systems (PRIMA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4088))

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Abstract

The research result of neurobiology shows that emotions have a great effect on the intelligence of human beings. To make agent have the ability of handling emotions, a new model structure of emotion agent is proposed, based on the traditional BDI agent model. The model firstly establishes a new emotion knowledge base for emotion expression, secondly performs emotion reasoning by an emotional reasoning algorithm, and finally implements the emotions treatment. An emotional agent based on this model has been realized, experiment results show that it is efficient to transact simple emotions.

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References

  1. Damasio, A.: Descartes error: emotion, reason and the human brain. Avon Books, New York (1994)

    Google Scholar 

  2. Joseph, B.: The role of emotion in believable agents. Communications of the ACM 37(7), 122–125 (1994)

    Article  Google Scholar 

  3. Karthi, S., Debbie, R.: The use of emotions to create believable agents in a virtual environment. In: Proceedings of the fourth international joint conference on autonomous agents and multi-agent systems, pp. 13–20 (2005)

    Google Scholar 

  4. Oliviera, E., Sarmento, L.: Emotional advantage for adaptability and autonomy. In: Proceedings of the second international joint conference on autonomous-agents and multi-agent systems (2003)

    Google Scholar 

  5. Wang, M., Luo, J., Lin, F., Shi, Z.: Internet intelligent platform-AGrIP. In: Artificial Intelligence Applications and Innovations II, pp. 363–370 (2005)

    Google Scholar 

  6. Shi, Z., Zhang, H., Cheng, Y., Jiang, Y., Sheng, Q., Zhao, Z.: MAGE: an agent-oriented programming environment. IEEE ICCI, 250–257 (2004)

    Google Scholar 

  7. Shi, Z.: Intelligent Agent and Its Applications. Press of China Science (2001)

    Google Scholar 

  8. Gratch, J., Marsella, S.: A domain independent framework for modeling emotion. Journal of Cognitive Systems Research 5, 269–306 (2004)

    Article  Google Scholar 

  9. Shi, Z., Huang, Y., He, Q.: MSMiner-a developing platform for OLAP. Decision Support Systems (2005)

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Hu, J., Guan, C., Wang, M., Lin, F. (2006). Model of Emotional Agent. In: Shi, ZZ., Sadananda, R. (eds) Agent Computing and Multi-Agent Systems. PRIMA 2006. Lecture Notes in Computer Science(), vol 4088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11802372_55

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  • DOI: https://doi.org/10.1007/11802372_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36707-9

  • Online ISBN: 978-3-540-36860-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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