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Autor(en): 
  • Andrew Schumann
  • Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Februar 2019  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Applied Dynamical Systems / Artificial Intelligence / B / complexity / Computational complexity / Computational Intelligence / Cybernetics & systems theory / Cybernetics and systems theory / engineering / Maths for engineers
    ISBN:  9783030082710 
    EAN-Code: 
    9783030082710 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #33 - Emergence, Complexity and Computation  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  730 gr 
    Seiten:  468 
    Illustration:  XI, 468 p. 117 illus., 25 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book presents fundamental theoretical results for designing object-oriented programming languages for controlling swarms. It studies the logics of swarm behaviours. According to behaviourism, all behaviours can be controlled or even managed by stimuli in the environment: attractants (motivational reinforcement) and repellents (motivational punishment). At the same time, there are two main stages in reactions to stimuli: sensing (perceiving signals) and motoring (appropriate direct reactions to signals). This book examines the strict limits of behaviourism the point of view of symbolic logic and algebraic mathematics: how far can animal behaviours be controlled by the topology of stimuli? On the one hand, we can try to design reversible logic gates in which the number of inputs is the same as the number of outputs. In the authors' case, the behaviouristic stimuli are inputs in swarm computing and appropriate reactions at the motoring stage are its outputs. On the other hand, theproblem is that even at the sensing stage each unicellular organism can be regarded as a logic gate in which the number of outputs (means of perceiving signals) greatly exceeds the number of inputs (signals). 

      
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