Feeling ambivalent: a model of mixed emotions for virtual agents

Authors:
Benny Ping-Han Lee;Edward Chao-Chun Kao;Von-Wun Soo
Affiliations:
AI laboratory in Institute of Information and System Applications, National Tsing Hua University, Hsinchu, Taiwan;AI laboratory in Institute of Information and System Applications, National Tsing Hua University, Hsinchu, Taiwan;AI laboratory in Institute of Information and System Applications, National Tsing Hua University, Hsinchu, Taiwan
Venue:
IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents
Year:
2006

Citing 9
Cited 0

The affective reasoner: a process model of emotions in a multi-agent system

The affective reasoner: a process model of emotions in a multi-agent system
The role of emotion in believable agents

Communications of the ACM
Affective computing

Affective computing
When robots weep: emotional memories and decision-making

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Émile: Marshalling passions in training and education

AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
A framework for the simulation of agents with emotions

Proceedings of the fifth international conference on Autonomous agents
FLAME—Fuzzy Logic Adaptive Model of Emotions

Autonomous Agents and Multi-Agent Systems
Emotional advantage for adaptability and autonomy

AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Using Decision Theory to Formalize Emotions in Multi-Agent Systems

ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)

Quantified Score

Hi-index	0.00

Visualization

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.