Planning and decision making in the human brain: A Model Predictive Control

Decision making is a recurrent, ubiquitous, cognitive process and consequential part of human behavior by which a preferred option or a course of actions is chosen from among a set of alternatives based on certain criteria. Decision theories are widely applied in a number of disciplines encompassing cognitive science,computer science, management science, economics,sociology, psychology, political science, and statistics [1].The results of relationship between the way of thinking and human automated activity are still studing , and that control of decision making process have many ambigaities. Indeed by putting the prediction horizon and control horizon of a given control system together , we can take step forward in inacreasing the truth and percision of decision making. By deep studying the inteligent control of decision making process logically and based on a prior knowledge, can help more robotic technology (robocope) and artificial inteligence in multi-agent systems by growing up of these automated activities in parallel and simulataneously. It results the promotion of learning machine based on prior knowledge. Problems such as doubt and scruple can be defined and then over comed based on the control rules presented in this article.