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Digital Library of the
European Council for Modelling and Simulation |
Title: |
Levels Of Conscious And Unconscious Anticipatory Behaviour
For Artificial
Creatures |
Authors: |
Pavel Nahodil |
Published in: |
(2011).ECMS
2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho. European Council for Modeling and Simulation. doi:10.7148/2011 ISBN:
978-0-9564944-2-9 25th
European Conference on Modelling and Simulation, Jubilee Conference Krakow,
June 7-10, 2011
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Citation
format: |
Nahodil, P. (2011). Levels Of Conscious
And Unconscious Anticipatory Behaviour For
Artificial Creatures. ECMS 2011 Proceedings edited by: T. Burczynski,
J. Kolodziej, A. Byrski, M. Carvalho (pp. 98-104).
European Council for Modeling and Simulation. doi:10.7148/2011-0098-0104 |
DOI: |
http://dx.doi.org/10.7148/2011-0098-0104 |
Abstract: |
Recently, anticipation and
anticipatory learning systems have gained increasing attention in the field.
The interest of researchers in anticipation did not started over night.
Anticipation observed in the animals combined with the multi-agent systems
and artificial life gave birth to the anticipatory behaviour.
This is broad multidisciplinary topic, but there are little thoughts on
relation of anticipation with the reactive behaviour,
the similarities and where the boundary is. Reactive behaviour
is still considered as the exact opposite for the anticipatory one. It was
shown by us that reactive and anticipatory behaviour
can be combined. 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 use not one but multiple levels of unconscious and conscious
anticipation in a creature design. The topic is quite comprehensive and is
out of scope of a single article to describe all 8 levels of the 8-factor
anticipation framework design. The aim is not to extensively present all the
achieved results but to demonstrate the thinking behind. Primary industrial
application of this approach is intelligent robotics. |
Full
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