Novel Theory and Simulations of Anticipatory Behaviour in Artificial Life Domain

  • Pavel Nahodil
  • Jaroslav Vitků
Part of the Studies in Computational Intelligence book series (SCI, volume 416)


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.


Multiagent System Smart Grid Life Domain Client Agent Anticipatory Behaviour 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Cybernetics, Faculty of Electrical EngineeringCzech Technical University in PraguePragueCzech Republic

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