EMPATH: face, emotion, and gender recognition using holons
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Affective computing
Panel on affect and emotion in the user interface
IUI '98 Proceedings of the 3rd international conference on Intelligent user interfaces
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Rational Coordination in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
Rational Communication in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
Facial Expression Recognition Using a Neural Network
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
Learning models of intelligent agents
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Evolution of Cooperation in Multiagent Systems
EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
Agile strategic information systems based on axiomatic agent architecture
iUBICOM'11 Proceedings of the 6th international conference on Ubiquitous and Collaborative Computing
Formal models of appraisal: Theory, specification, and computational model
Cognitive Systems Research
A computational model based on Gross' emotion regulation theory
Cognitive Systems Research
An adaptive computational model of emotion regulation strategies based on gross theory
Proceedings of the Fifth International C* Conference on Computer Science and Software Engineering
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Our research combines two diverse strands of work in AI and cognitive science. We start from the principled paradigm of rational agent design based on decision theory.We then use this paradigm to formally define the emotional states and personality of an artificial intelligent agent. We view the emotional states as the agent's decision-making modes, predisposing the agent to make its choices in a specific, yet rational, way. Change of the emotional state, say due to an external stimulus, invokes a transformation of the agent's decision-making behavior. We define personality as consisting of the agent's emotional states together with the specification of transitions taking place among the states. To enable an artificial agent to model the personalities and emotional states of agents and humans that it interacts with, we additionally provide a precise definition of a personality models of other agents. Our definition allows the personality models to be learned over the course of multiple interactions with the users and other agents.