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Natural Dynamics and Neural Networks: Searching for Efficient Preying Dynamics in a Virtual World
 

Summary: 1
Natural Dynamics and Neural Networks: Searching
for Efficient Preying Dynamics in a Virtual World
Péter András
Department of Psychology, University of Newcastle
Newcastle upon Tyne, NE1 7RU, United Kingdom
Eric Postma
and Jaap van den Herik§
Department of Computer Science / IKAT, Universiteit Maastricht, POB 616,
6200 MD Maastricht, The Netherlands
ABSTRACT
Since the 1970s, the chaotic nature of environmental dynamics of animals
is a challenge for computer-science researchers. The intriguing question is how
can we develop an effective means for predicting future states? In this paper we
assume that animals possess control structures exhibiting chaotic dynamics that
can deal with chaotic environmental dynamics. Based on that assumption, we
describe a novel model that is characterized by predicting future states through
a recursive application of an input-output mapping generated by natural
dynamics (the internal chaotic dynamics) and chaotic environmental dynamics.
For comparison, we evaluate two neural networks that control the prediction

  

Source: Andras, Peter - School of Computing Science, University of Newcastle upon Tyne

 

Collections: Computer Technologies and Information Sciences