Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring (eBook)

Andrew Schumann (Autor)

eBook Download: PDF

2018
XI, 468 Seiten
Springer International Publishing (Verlag)
978-3-319-91542-5 (ISBN)

Infos

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 from 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 this 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). 

Inhalt

Introduction.- Actin Filament Networks.- Unconventional Computers Designed on Swarm Behaviours.- Conventional and Unconventional Automata on Swarm Behaviours.- Non-Archimedean Valued Fuzzy and Probability Logics.- Individual-Collective Duality in Swarm Behaviours.- Syllogistic Systems of Swarm Propagation.- Context-Based Games of Swarms.

Produkt-Details

• Erscheint lt. Verlag: 25.5.2018
• Reihe/Serie: Emergence, Complexity and Computation
• Reihe/Serie: Emergence, Complexity and Computation
• Zusatzinfo: XI, 468 p. 117 illus., 25 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik
• Schlagworte: Agent Based Computation • Amoeba Proteus • Analogic Computing • Artificial Life • behaviourism • Bio-Inspired Game Theory, Actin Filament Networks • Cellular Automata • Complex Systems • Emergence • Fuzzy Logics, Many-Valued Logics • Multiagent Systems • Non-Classical Logics • Physarum Polycephalum, Slime Mould • Reaction-Diffusion Computing • Reflexive Games • Social Behaviour • Swarm Behaviour • swarm computing • Swarm intelligence • Trichobilharzia Szidati, Schistosomatidae
• ISBN-10: 3-319-91542-8 / 3319915428
• ISBN-13: 978-3-319-91542-5 / 9783319915425