Modelling Natural Action Selection

Spar {0}
Spar {0} som ARK-VENN
{0} til nettpris
med Klikk&Hent
Format/språk
   Klikk og hent - få varen innen 1 time*
   Alltid bytterett - Norges beste. Bytt uten kvittering.
* Gjelder varer på lager i butikk

Kort om boken

Action selection is the task of doing the right thing at the right time. It requires the assessment of available alternatives, executing those most appropriate, and resolving conflicts among competing goals and possibilities. Using advanced computat…

Oppdag mer

Velg tagger...

    Om Modelling Natural Action Selection

    Action selection is the task of doing the right thing at the right time. It requires the assessment of available alternatives, executing those most appropriate, and resolving conflicts among competing goals and possibilities. Using advanced computational modelling, this book explores cutting-edge research into action selection in nature from a wide range of disciplines, from neuroscience to behavioural ecology, and even political science. It delivers new insights into both detailed and systems-level attributes of natural intelligence and demonstrates advances in methodological practice. Contributions from leading researchers cover issues including whether biological action selection is optimal, neural substrates for action selection in the vertebrate brain, perceptual selection in decision making, and interactions between group and individual action selection. This first integrated review of action selection in nature contains a balance of review and original research material, consolidating current knowledge into a valuable reference for researchers while illustrating potential paths for future studies.

    Kundevurderinger

    Totalvurdering: 

    Gi din vurdering: 
    Totalvurdering: 

    Detaljer

    Format
    E-Bok
    Kopisperre
    Teknisk DRM
    Filformat
    PDF
    Utgivelsesår
    2011
    Forlag
    Cambridge University Press
    Språk
    Engelsk
    ISBN
    9781139153713

    Anbefalt

    Nettleseren din er utdatert

    Mye funksjonalitet på ark.no støttes ikke lenger i Internet Explorer. Vennligst bruk en nyere nettleser.