A new approach used for anticipation to improve the system's behaviour

Abstract

Anticipation occurs in all spheres of life. Nature evolves in a continuous anticipatory fashion targeted at survival. Conscious reaction takes too long to process. Motivation mechanisms in learning, arts, and all types of research are dominated by the principle that an expected future state controls present action. The study of anticipatory behaviour refers to behaviour that is dependent on predictions, expectations, or beliefs about future states. Anticipation is an important behaviour in life. Recently, it is used in different system to improve its performance. In our work, we begin by making a modification in a simulator WAL - (World of Artificial Life) to add the bases of anticipation. Also, we try to introduce a new approach for anticipation based on the Markov chain; we will see that with anticipation the performance of the system will be better. We apply our approach on a well known problem - a maze problem. © 2007 ECMS.