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Self-Organizing Systems

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Cover of 'Self-Organizing Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Automated Trading for Smart Grids: Can It Work?
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    Chapter 2 A Semantic-Based Algorithm for Data Dissemination in Opportunistic Networks
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    Chapter 3 Characteristic Analysis of Response Threshold Model and Its Application for Self-organizing Network Control
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    Chapter 4 Emergence of Global Speed Patterns in a Traffic Scenario
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    Chapter 5 On the Efficiency of Information-Assisted Search for Parking Space: A Game-Theoretic Approach
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    Chapter 6 The Relative Disagreement Model of Opinion Dynamics: Where Do Extremists Come From?
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    Chapter 7 Modeling the Emergence of a New Language: Naming Game with Hybridization
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    Chapter 8 Trust-Based Scenarios – Predicting Future Agent Behavior in Open Self-organizing Systems
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    Chapter 9 Addressing Phase Transitions in Wireless Networking Optimization
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    Chapter 10 On the Local Approximations of Node Centrality in Internet Router-Level Topologies
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    Chapter 11 Modelling Critical Node Attacks in MANETs
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    Chapter 12 Evolution as a Tool to Design Self-organizing Systems
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    Chapter 13 Self-organization Promotes the Evolution of Cooperation with Cultural Propagation
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    Chapter 14 Not All Paths Lead to Rome: Analysing the Network of Sister Cities
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    Chapter 15 A Hybrid Threat Detection and Security Adaptation System for Industrial Wireless Sensor Networks
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    Chapter 16 Mapping of Self-organization Properties and Non-functional Requirements in Smart Grids
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    Chapter 17 A Self-organising Approach for Smart Meter Communication Systems
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    Chapter 18 Unifying Sensor Fault Detection with Energy Conservation
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    Chapter 19 Towards a Distributed, Self-organising Approach to Malware Detection in Cloud Computing
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    Chapter 20 Demand Response by Decentralized Device Control Based on Voltage Level
Attention for Chapter 12: Evolution as a Tool to Design Self-organizing Systems
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Chapter title
Evolution as a Tool to Design Self-organizing Systems
Chapter number 12
Book title
Self-Organizing Systems
Published by
Springer Berlin Heidelberg, January 2014
DOI 10.1007/978-3-642-54140-7_12
Book ISBNs
978-3-64-254139-1, 978-3-64-254140-7

István Fehérvári, Wilfried Elmenreich


Wilfried Elmenreich, Falko Dressler, Vittorio Loreto

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Researcher 3 33%
Professor 1 11%
Student > Master 1 11%
Readers by discipline Count As %
Computer Science 6 67%
Engineering 2 22%
Social Sciences 1 11%