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Feeling Ambivalent: A Model of Mixed Emotions for Virtual Agents

  • Benny Ping-Han Lee
  • Edward Chao-Chun Kao
  • Von-Wun Soo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4133)

Abstract

Mixed emotions, especially those in conflict, sway agent decisions and result in dramatic changes in social scenarios. However, the emotion models and architectures for virtual agents are not yet advanced enough to be imbued with coexisting emotions. In this paper, an improved emotion model integrated with decision making algorithms is proposed to deal with two topics: the generation of coexisting emotions, and the resolution to ambivalence, in which two emotions conflict. A scenario of ambivalence is provided to illustrate the process of agent’s decision-making.

Keywords

Positive Emotion Achievement Rate Social Emotion Greedy Search Virtual Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Benny Ping-Han Lee
    • 1
  • Edward Chao-Chun Kao
    • 1
  • Von-Wun Soo
    • 1
    • 2
  1. 1.AI laboratory in Institute of Information and System ApplicationsNational Tsing Hua UniversityHsinchuTaiwan
  2. 2.Department of Computer Engineering and Information ScienceNational University of KaohsiungKaohsiungTaiwan

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