Novel Theory and Simulations of Anticipatory Behaviour in Artificial Life Domain
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00195221" target="_blank" >RIV/68407700:21230/12:00195221 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-642-28888-3_6" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-642-28888-3_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-28888-3_6" target="_blank" >10.1007/978-3-642-28888-3_6</a>
Alternative languages
Result language
angličtina
Original language name
Novel Theory and Simulations of Anticipatory Behaviour in Artificial Life Domain
Original language description
Recently, anticipation and anticipatory learning systems have gained increasing attention in the field of AI. Anticipation observed in the animals combined with the multi-agent systems and artificial life gave birth to the anticipatory behaviour. This isbroad multidisciplinary topic. 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 aim is not only to extensively present all the achieved results but also to demonstrate the thinking behind. Primary industrial applications of this the 8-factor anticipation framework design are intelligent robotics and smart grids. Examples of applications will be shown.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Advances in Intelligent Modelling and Simulation
ISBN
978-3-642-28887-6
Number of pages of the result
34
Pages from-to
131-164
Number of pages of the book
365
Publisher name
Springer
Place of publication
Heidelberg
UT code for WoS chapter
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