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Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring

  • Andrew Schumann

Part of the Emergence, Complexity and Computation book series (ECC, volume 33)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Andrew Schumann
    Pages 1-26
  3. Andrew Schumann
    Pages 27-71
  4. Andrew Schumann
    Pages 243-282
  5. Andrew Schumann
    Pages 283-312
  6. Andrew Schumann
    Pages 379-410
  7. Andrew Schumann
    Pages 443-460
  8. Back Matter
    Pages 461-468

About this book

Introduction

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, the problem 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). 

Keywords

Swarm Computing Swarm Intelligence Swarm Behaviour Social Behaviour Reflexive Games Behaviourism Analogic Computing Reaction-Diffusion Computing Complex Systems Multiagent Systems Cellular Automata Artificial Life Emergence Agent Based Computation Non-Classical Logics Fuzzy Logics, Many-Valued Logics Bio-Inspired Game Theory, Actin Filament Networks Trichobilharzia Szidati, Schistosomatidae Amoeba Proteus Physarum Polycephalum, Slime Mould

Authors and affiliations

  • Andrew Schumann
    • 1
  1. 1.Department of Cognitive ScienceUniversity of Information Technology and Management in RzeszowRzeszowPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-91542-5
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-3-319-91541-8
  • Online ISBN 978-3-319-91542-5
  • Series Print ISSN 2194-7287
  • Series Online ISSN 2194-7295
  • Buy this book on publisher's site
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