Adaptive Intelligent Autonomous System Using Artificial Somatic Markers And Big Five Personality Traits

This work presents the design of an adaptive, intelligent, autonomous system based on the use of artificial somatic markers and personality traits of the Big Five model. The aim is for the system to be capable of performing decision-making processes autonomously without human intervention, adapting its decision strategy according to the domain conditions and obtained results. For this, the system permanently has one of the five different personality profiles of the Big Five model, and the ability to adapt its personality profile in real time based on artificial somatic activation, that is, to the reactions experienced by the system in the face of perceived stimuli during the autonomous decision-making process. The novelties of this work include the following: design of a general operational framework of an adaptive, intelligent, autonomous system, which integrates domain indicators, artificial somatic markers, personality profiles, domain profiles, and business rules; design of a somatic index function; design of a scheme for the translation of artificial somatic reactions to personality profiles of the Big Five model; and definition of a case study based on stock markets. The promising results show that the system achieves effectiveness and efficiency from the decisions made.