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
FLAME—Fuzzy Logic Adaptive Model of Emotions
Autonomous Agents and Multi-Agent Systems
Foundations of Soft Case-Based Reasoning
Foundations of Soft Case-Based Reasoning
Cognitive complexity and dynamic personality in agent simulation
Computers in Human Behavior
Managing anger methods for a happier and healthier life
Managing anger methods for a happier and healthier life
Programming Agents with Emotions
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Emotional conversational agents in clinical psychology and psychiatry
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
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Emotions, especially negative ones, have a significant influence on the human performance and intelligent behavior. Anger also is more likely to affect decision-making and behaving because anger includes most states of effective emotions, such as stress or fear. Besides, personality has a leading role in affecting the states of emotions in specific situations. The purpose of this paper is simulation of the anger emotion and personality in intelligent agents. To do this, the dimensions of personality related to anger are linked to aggression by a fuzzy expert system as a new way of implementing an intelligent emotional agent. The knowledge base of this expert system contains fuzzy rules obtained from a decision tables and facts obtained from ontology.