Affective computing
Emotion in human-computer interaction
The human-computer interaction handbook
Artificial War: Multiagent-Based Simulation of Combat
Artificial War: Multiagent-Based Simulation of Combat
Universality in Multi-Agent Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Pheromone learning for self-organizing agents
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A domain-independent framework for modeling emotion
Cognitive Systems Research
Surprise as shortcut for anticipation: clustering mental states in reasoning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Personality, Emotions and Physiology in a BDI Agent Architecture: The PEP - BDI Model
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Expert Systems with Applications: An International Journal
Toward a Myers-Briggs type indicator model of agent behavior in multiagent teams
MABS'10 Proceedings of the 11th international conference on Multi-agent-based simulation
OCC’s emotions: a formalization in a BDI logic
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
Simulation of the emotion dynamics in a group of agents in an evacuation situation
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
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In stressful situations such as combat, emotion is at least as important as rational analysis in determining behavior. DETT (Disposition, Emotion, Trigger, Tendency) is a model of emotion for situated agents that captures the essential features of the OCC (Ortony, Clore, Collins) model in a computationally efficient framework. We motivate and describe this architecture, and report preliminary experiments in simulating combat scenarios.