Individuality of agent with emotional algorithm

This paper discusses the individuality of agent consisting the group. We study the emotional algorithm evaluating and deciding the statement with artificial emotional model. This paper shows the efficiency of different characteristics of the agent with emotional algorithm, the so-called individuality, and proposes the new traffic signal system, which optimizes the traffic flow by predicting the driver\´s mind. The proposed traffic signal system applies the emotional algorithm to determine its motion. The emotional algorithm estimates the emotional value based on the emotional functions, which are defined on the emotional space. The emotional space consists of four factors, "happy", "relief", "afraid" and "angry", and provides the emotional states of the system by the value on it. The emotional function aims at the system not to inflict the psychological stress onto the driver. The numerical simulations show the effectiveness of the new emotional algorithm. The DEA simulator, the parameters of which dynamically change by evaluating the congestion of a road, improves the architecture of traffic signals networks