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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

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • 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