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
ALMA: a layered model of affect
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
MASON: A Multiagent Simulation Environment
Simulation
Agent-based analysis of patterns in crowd behaviour involving contagion of mental states
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
A domain-independent framework for modeling emotion
Cognitive Systems Research
EMA: A process model of appraisal dynamics
Cognitive Systems Research
The "resource" approach to emotion
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
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The simulation of believable behaviors for virtual agents requires to take human factors such as emotions into account. Most computational models dealing with this issue include emotion categories in their architecture. However, determining categories to use and their influence on behavior is a difficult task. In order to address this challenge, our COR-E model uses an architecture without emotion categories. In this paper, we present an evaluation of this model in the context of a waiting line scenario. We show that COR-E can produce believable emotional behaviors, and test the contributions of the various components and characteristics of its architecture to these positive results.