Guided Self-Organization: Inception (Record no. 56142)
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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 |
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-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | 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 ; |
912 ## - | |
-- | ZDB-2-ENG |
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