Guided Self-Organization: Inception (Record no. 56142)

000 -LEADER
fixed length control field 03285nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-642-53734-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111852.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131219s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642537349
-- 978-3-642-53734-9
082 04 - CLASSIFICATION NUMBER
Call Number 620
245 10 - TITLE STATEMENT
Title Guided Self-Organization: Inception
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXII, 475 p. 172 illus., 54 illus. in color.
490 1# - SERIES STATEMENT
Series statement Emergence, Complexity and Computation,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Foundational frameworks -- Coordinated behaviour and learning within an embodied agent -- Swarms and networks of agents.
520 ## - SUMMARY, ETC.
Summary, etc Is it possible to guide the process of self-organisation towards specific patterns and outcomes?  Wouldn't this be self-contradictory?   After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control.  Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process?  This book presents different approaches to resolving this paradox.  In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms.  A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field. Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning.
700 1# - AUTHOR 2
Author 2 Prokopenko, Mikhail.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-53734-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2014.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computers.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistical physics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Complexity, Computational.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Complexity.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Theory of Computation.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Nonlinear Dynamics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2194-7287 ;
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-- ZDB-2-ENG

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