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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
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Computers in Entertainment (CIE) - SPECIAL ISSUE: Media Arts and Games (Part II)
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Learning policies for embodied virtual agents through demonstration
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
An Emotional and Context-Aware Model for Adapting RSS News to Users and Groups
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
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Intelligent emotion-oriented eCommerce systems
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Emotion-oriented eCommerce systems
WSEAS TRANSACTIONS on SYSTEMS
Speed dating with an affective virtual agent: developing a testbed for emotion models
IVA'10 Proceedings of the 10th international conference on Intelligent virtual agents
Simulating the effect of emotional stress on task performance using OCC
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
Emotion Modeling for Intelligent Agents - Towards a Unifying Framework
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
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IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents
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Cognitive Computational Models of Emotions and Affective Behaviors
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WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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Spurred by a range of potential applications, there has been a growing body of research in computational models of human emotion. To advance the development of these models, it is critical that we evaluate them against the phenomena they purport to model. In this paper, we present one method to evaluate an emotion model that compares the behavior of the model against human behavior using a standard clinical instrument for assessing human emotion and coping. We use this method to evaluate the Emotion and Adaptation (EMA) model of emotion Gratch and Marsella. The evaluation highlights strengths of the approach and identifies where the model needs further development.