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Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring (Paperback, Softcover reprint of the original 1st ed. 2019) Loot Price: R2,928
Discovery Miles 29 280
Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring (Paperback, Softcover reprint of the original 1st ed....

Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring (Paperback, Softcover reprint of the original 1st ed. 2019)

Andrew Schumann

Series: Emergence, Complexity and Computation, 33

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Loot Price R2,928 Discovery Miles 29 280 | Repayment Terms: R274 pm x 12*

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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).

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Emergence, Complexity and Computation, 33
Release date: February 2019
First published: 2019
Authors: Andrew Schumann
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Paperback
Pages: 468
Edition: Softcover reprint of the original 1st ed. 2019
ISBN-13: 978-3-03-008271-0
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-008271-7
Barcode: 9783030082710

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