Novel theory and simulations of anticipatory behaviour in artificial life domain

Abstract

Recently, anticipation and anticipatory learning systems have gained increasing attention in the field of artificial intelligence. Anticipation observed in animals combined with multi-agent systems and artificial life gave birth to the anticipatory behaviour. This is a broad multidisciplinary topic. In this work, we will first introduce the topic of anticipation and will describe which scientific field it belongs to. The state of the art on the field of anticipation shows main works and theories that contributed to our novel approach. The parts important for presented research are further detailed probed in terms of algorithms and mechanisms. Designed multi-level anticipatory behaviour approach is based on the current understanding of anticipation from both the artificial intelligence and the biology point of view. Original thought is that we have to use not one but multiple levels of unconscious and conscious anticipation in a creature design. The aim of this chapter is not only to extensively present all the achieved results but also to demonstrate the thinking behind. Primary industrial applications of this 8-factor anticipation framework design are intelligent robotics and smart grids in power energy. © 2012 Springer Berlin Heidelberg.