Rational versus Emotional Reasoning in a Realistic Multi-Objective Environment

ABSTRACT: Emotional intelligence and its associated with models have recently become one of new active studies in the field of artificial intelligence. Several works have been performed on modelling of emotional behaviours such as love, hate, happiness and sadness. This study presents a comparative evaluation of rational and emotional behaviours and the effects of emotions on the decision making process of agents in a realistic multi-objective environment. NetLogo simulation environment is used to model a realistic multi-objective environment, where an agent is in continuous interaction with a set of objects in its surrounding. The agent living and acting in its environment employs reasoning procedures which combine a series of inferences, evaluation, evolution processes, adaptation, learning and rule based emotions. Experimental evaluations showed that agents with the rational and emotional models in their decision to making processes achieve better performance compared to those with the rational decision model only. Keywords: Artificial Intelligence, Agent-Based Modelling, Rational Agent, Emotional Intelligence, NetLogo. ……………………………………………………………………………………………………………………………………………………………………………………………………………………