A model of intelligent agent system using horror emotion

In this paper, a system for appraisal the step of horror emotion that the intelligent agent-based system may sense when it face to a annoying event has been developed and the behaviors of emotional agents using human behavior in terms of the way their emotional states evolve over time has been described and finally it has been performed by a fuzzy inference system using Java environment and three parameters related on human horror emotion as the inputs of this system. The system outputs can be used in agent decision making process or choosing a person for team working systems by combination the intensity of horror to other emotion intensities.