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¬The¬ Local Information Dynamics of Distributed Computation in Complex Systems

Kataloginformation Katalogdatensatz500177509 .

Kataloginformation
Feldname	Details
Vorliegende Sprache	eng
Hinweise auf parallele Ausgaben	381469123 Buchausg. u.d.T.: ‡Lizier, Joseph T.: ¬The¬ local information dynamics of distributed computation in complex systems
ISBN	978-3-642-32951-7
Name	Lizier, Joseph T.
T I T E L	¬The¬ Local Information Dynamics of Distributed Computation in Complex Systems
Verlagsort	Berlin ; Heidelberg
Verlag	Springer
Erscheinungsjahr	2013
Erscheinungsjahr	2013
Umfang	Online-Ressource (XXIII, 235 p. 42 illus., 14 illus. in color, digital)
Reihe	Springer Theses, Recognizing Outstanding Ph.D. Research
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	The Local Information Dynamics of Distributed Computation in Complex Systems; Supervisor's Foreword; Acknowledgments; Contents; Symbols; 1 Introduction; 1.1 Hypothesis and Objectives; 1.2 Approach; 1.3 Contributions of this Thesis; 1.4 Structure of the Thesis; References; 2 Computation in Complex Systems; 2.1 Complex Systems; 2.1.1 Order, Disorder and Phase Transitions; 2.1.2 Self-Organisation; 2.1.3 Motivation for Studying Complex Systems; 2.2 Information Theory; 2.2.1 Information-Theoretic Measures; 2.2.2 Localising Information-Theoretical Measures. 2.2.3 Information-Theoretic Measures of Continuous Variables2.2.4 Reasons for Application to Complex Systems; 2.3 Cellular Automata; 2.3.1 Functionality of Cellular Automata; 2.3.2 Complex Behaviour in Cellular Automata; 2.3.3 Computation in Cellular Automata; 2.3.4 Examples of Distributed Computation in CAs; 2.3.5 Filtering Structure in Cellular Automata; 2.4 The Dynamics of Networks; 2.4.1 Random Boolean networks as a model of dynamic networks; 2.5 Guided Self-Organisation; 2.6 Opportunity to quantify the information dynamics of computation; References; 3 Information Storage. 3.1 Excess Entropy as Total Information Storage3.1.1 Single-Agent and Collective Excess Entropy; 3.1.2 Local Excess Entropy; 3.2 Active Information Storage as Storage in Use; 3.2.1 Local Active Information Storage; 3.2.2 Active Information Storage and Entropy Rate; 3.3 Local Information Storage in Cellular Automata; 3.3.1 Appropriate History Lengths; 3.3.2 Periodic Blinker and Domain Processes as Dominant Storage; 3.3.3 Negative Informative Storage as Misinformation at Particles; 3.3.4 Particles Create New Information Storage; 3.3.5 Structured Information Storage in Domain of Rule 18. 3.3.6 Misinformation and New Storage Creation by Domain Walls3.3.7 Local Temporal Entropy Rate Highlights Moving Particles; 3.3.8 Absence of Coherent Information Storage Structure; 3.4 Summary; References; 4 Information Transfer; 4.1 Transfer Entropy as Predictive Information Transfer; 4.1.1 Transfer Entropy; 4.1.2 Local Transfer Entropy; 4.1.3 Apparent, Conditional and Complete Transfer Entropy; 4.1.4 Total Information Composition and Collective Information Transfer; 4.2 Local Information Transfer in Cellular Automata; 4.2.1 Inadequate Measures for Information Transfer. 4.2.2 Particles as Dominant, Coherent Information Transfer Structures4.2.3 Ambient Transfer in Backgrounds Domains; 4.2.4 Apparent and Complete Transfer Entropy are Complementary; 4.3 Information Flow as Causal Effect; 4.3.1 Information Flow; 4.3.2 Local Information Flow; 4.4 Local Causal Information Flow in Cellular Automata; 4.4.1 Information Transfer, Causal Flow and Emergent Structures; 4.4.2 Information Transfer to be Measured from Causal Sources Only; 4.4.3 Complete Transfer Entropy as an Inferrer for Information Flow; 4.5 Summary; References; 5 Information Modification. 5.1 Separable Information as a Detector for Non-Trivial Information Modification
Titelhinweis	Buchausg. u.d.T.: ‡Lizier, Joseph T.: ¬The¬ local information dynamics of distributed computation in complex systems
ISBN	ISBN 978-3-642-32952-4
Klassifikation	GPFC
	TEC000000
	*68-02
	68P20
	68M14
	68Q80
	92B05
	003.54
	620
	QA76.9.M35
	ST 200
Kurzbeschreibung	The nature of distributed computation in complex systems has often been described in terms of memory, communication and processing. This thesis presents a complete information-theoretic framework to quantify these operations on information (i.e. information storage, transfer and modification), and in particular their dynamics in space and time. The framework is applied to cellular automata, and delivers important insights into the fundamental nature of distributed computation and the dynamics of complex systems (e.g. that gliders are dominant information transfer agents). Applications to several important network models, including random Boolean networks, suggest that the capability for information storage and coherent transfer are maximized near the critical regime in certain order-chaos phase transitions. Further applications to study and design information structure in the contexts of computational neuroscience and guided self-organization underline the practical utility of the techniques presented here.
1. Schlagwortkette	Netzwerk
	Komplexes System
	Informationsübertragung
	Informationsspeicherung
	Informationstheorie
	Zellularer Automat
	Selbstorganisation
SWB-Titel-Idn	376064056
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-642-32952-4
Internetseite / Link	Volltext
Siehe auch	Inhaltsverzeichnis
Siehe auch	Inhaltstext
Siehe auch	Volltext
Siehe auch	Cover
Siehe auch	Inhaltstext

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