MEBACA-Modeling of Emotion Base Attitudes for Cognitive Agents

Abstract

With the recent increase in the demand of the humanité base agent technology, competent and efficient instructors are equipped to deal with societal issues based on former and current events. These agents can only endure such complicated alarming world, by the capacity of taking applicable attitude and operation according to the changes in surroundings. When we talk about mental construct, a large number of the models of cognitive agents are still found missing with such attitude and emotion that helps to solve the conflict of decision making to improve the human-like decision making in cognitive agents. For improving, this needs to be addressed by the researcher. In this paper, I purpose the hybrid model for cognitive agents that carrying attitude with emotions that allow an agent to take action and handle the different critical, harsh, and aggressive situations in the surrounding. In our study, we also purpose some mathematic equations proves for rules-evaluation and graphs for showing the working of this model by using Mamdani fuzzy logic techniques in MATLAB R2017a. The purpose of this work is to formulate a model based on emotion-base-attitude and its pretense for agents that can aid them to solve problems, accomplish determined goals and survive in this complex antagonistic world.