A novel adaptive decision making agent architecture inspired by human behavior and brain study models

Intelligent agent technology, which expects to combine the marked trends in history of computing such as ubiquity, interconnection, intelligence, delegation and human orientation can be considered as a step towards the next stage of artificial intelligence. This new technology attempts to reduce the gap between man and machine. The remarkable ability of a human being to make decisions is art ongoing learning and evolutionary process. Therefore, when reducing the man-machine gap, one of the main issues to address is how to make agents decision makers in a human oriented way. The paper presents novel conceptual agent framework to provide human like decisions inspired by human behavior and brain study models. The proposed learning and evolutionary agent architecture make the agent capable of handling the dynamism in the environment too. The experiments illustrated with the banking application demonstrate how the proposed framework enables a software agent to make decisions in a human oriented manner.