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Title:
Guided self-organization : inception / Mikhail Prokopenko, editor.
Publisher:
Springer,
Copyright Date:
2014
Description:
viii, 475 pages : illustrations (some color) ; 25 cm.
Subject:
Self-organizing systems.
Self-organizing systems--Mathematical models.
Other Authors:
Prokopenko, Mikhail, editor. http://id.loc.gov/authorities/names/no2007148849
Notes:
Includes bibliographic references and index.
Contents:
Clustering and modularity in self-organized networks / Somwrita Sarkar, Peter A. Robinson. Information measures of complexity, emergence, self-organization, homeostasis, and autopoiesis / Nelson Fernández, Carlos Maldonado, Carlos Gershenson -- Generating functionals for guided self-organization / Claudius Gros -- Empowerment - an introduction / Christoph Salge, Cornelius Glackin, Daniel Polani -- A framework for the local information dynamics of distributed computation in complex systems / Joseph T. Lizier, Mikhail Prokopenko, Albert Y. Zomaya -- Quantifying synergistic mutual information / Virgil Griffith, Christof Koch -- On the role of embodiment for self-organizing robots : behavior as broken symmetry / Ralf Der -- Robot learning by guided self-organization / Georg Martius, Ralf Der, J. Michael Herrmann -- On the causal structure of the sensorimotor loop / Nihat Ay, Keyan Zahedi -- Action switching in brain-body-environment systems / Eran Agmon -- Guided self-organization of input-driven recurrent neural networks / Oliver Obst, Joschka Boedecker -- Measuring information dynamics in swarms / Jennifer M. Miller, X. Rosalind Wang, Joseph T. Lizier, Mikhail Prokopenko, Louis F. Rossi -- Guiding designs of self-organizing swarms : interactive and automated approaches / Hiroki Sayama -- Mutual information as a task-independent utility function for evolutionary robotics / Valerio Sperati, Vito Trianni, Stefano Nolfi -- Evolution of complexity and neural topologies / Larry S. Yaeger -- Clustering and modularity in self-organized networks / Somwrita Sarkar, Peter A. Robinson.
Series:
Emergence, complexity and computation ; volume 9
ISBN:
3642537332
9783642537332
OCLC:
(OCoLC)865495978
Locations:
OVUX522 -- University of Iowa Libraries (Iowa City)

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