Identificacion Principal del registro INGC-EBK-000719

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160920094806

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 131219s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783642537349

a Standard number or code 10.1007/978-3-642-53734-9

a Title Guided Self-Organization: Inception

h Medium [libro electrónico] /

c Statement of responsibility, etc edited by Mikhail Prokopenko.

a Place of publication, distribution, etc Berlin, Heidelberg :

b Name of publisher, distributor, etc Springer Berlin Heidelberg :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent xxii, 475 p. :

b Other physical details il.

a Series statement Emergence, Complexity and Computation,

x International Standard Serial Number 2194-7287 ;

v Volume number/sequential designation 9

a Formatted contents note Foundational frameworks -- Coordinated behaviour and learning within an embodied agent -- Swarms and networks of agents.

a Summary, etc Is it possible to guide the process of self-organisation towards specific patterns and outcomes?  Wouldnâ_Tt 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.

a Topical term or geographic name as entry element Computers.

a Topical term or geographic name as entry element Statistical physics.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Complexity.

a Topical term or geographic name as entry element Theory of Computation.

a Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).

a Topical term or geographic name as entry element Computational Intelligence.

a Topical term or geographic name as entry element Nonlinear Dynamics.

a Personal name Prokopenko, Mikhail,

e Relator term ed.

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-642-53734-9

c item type EBK

a descripción COM