The Local Information Dynamics of Distributed Computation in Complex Systems
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 maximised 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-organisation underline the practical utility of the techniques presented here.
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The Local Information Dynamics of Distributed Computation in Complex Systems
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 maximised 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-organisation underline the practical utility of the techniques presented here.
169.99 In Stock
The Local Information Dynamics of Distributed Computation in Complex Systems

The Local Information Dynamics of Distributed Computation in Complex Systems

by Joseph T. Lizier
The Local Information Dynamics of Distributed Computation in Complex Systems

The Local Information Dynamics of Distributed Computation in Complex Systems

by Joseph T. Lizier

Paperback(2013)

$169.99 
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Overview

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 maximised 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-organisation underline the practical utility of the techniques presented here.

Product Details

ISBN-13: 9783642438196
Publisher: Springer Berlin Heidelberg
Publication date: 12/13/2014
Series: Springer Theses
Edition description: 2013
Pages: 236
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Introduction.-

Computation in complex systems.-

Information storage.-

Information transfer.-

Information modifications.-

Information dynamics in networks and phase transitions

.-

Coherent information structure in complex computation.-

Information transfer in biological and bio-inspired systems.-

Conclusion.

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