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Unified theories of cognition
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Intelligent agents for the synthetic battlefield: a company of rotary wing aircraft
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Social Judgment in Multiagent Interactions
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AI Magazine - Special issue on achieving human-level AI through integrated systems and research
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Modeling concurrent, interacting behavior moderators for simulation-based acquisition tasks
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 3
Inducing User Affect Recognition Models for Task-Oriented Environments
UM '07 Proceedings of the 11th international conference on User Modeling
Fluid Semantic Back-Channel Feedback in Dialogue: Challenges and Progress
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Endowing Emotional Agents with Coping Strategies: From Emotions to Emotional Behaviour
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Basing Artificial Emotion on Process and Resource Management
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Multi-party, Multi-issue, Multi-strategy Negotiation for Multi-modal Virtual Agents
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Modeling Self-deception within a Decision-Theoretic Framework
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Modeling Appraisal in Theory of Mind Reasoning
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A heuristic personality-based bilateral multi-issue bargaining model in electronic commerce
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E-Drama: Facilitating Online Role-play using an AI Actor and Emotionally Expressive Characters
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Extending the Soar Cognitive Architecture
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A Formal Model of Emotions: Integrating Qualitative and Quantitative Aspects
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Personality, Emotions and Physiology in a BDI Agent Architecture: The PEP - BDI Model
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Toward a Generic Framework for Modeling Human Behaviors in Crowd Simulation
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IEEE Transactions on Multimedia
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Modeling appraisal in theory of mind reasoning
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In this article, we show how psychological theories of emotion shed light on the interaction between emotion and cognition, and thus can inform the design of human-like autonomous agents that must convey these core aspects of human behavior. We lay out a general computational framework of appraisal and coping as a central organizing principle for such systems. We then discuss a detailed domain-independent model based on this framework, illustrating how it has been applied to the problem of generating behavior for a significant social training application. The model is useful not only for deriving emotional state, but also for informing a number of the behaviors that must be modeled by virtual humans such as facial expressions, dialogue management, planning, reacting, and social understanding. Thus, the work is of potential interest to models of strategic decision-making, action selection, facial animation, and social intelligence.