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Self-Organizing Systems

Overview of attention for book
Self-Organizing Systems
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Methods for Approximations of Quantitative Measures in Self-Organizing Systems
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    Chapter 2 Evolving Self-organizing Cellular Automata Based on Neural Network Genotypes
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    Chapter 3 Self-organized Middle-Out Abstraction
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    Chapter 4 On the Communication Range in Auction-Based Multi-Agent Target Assignment
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    Chapter 5 An Adaptive Control Technique for a Connection Weight of Agents in a Self-repairing Network
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    Chapter 6 Finding Routing Shortcuts Using an Internet Coordinate System
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    Chapter 7 Cache Capacity Allocation to Overlay Swarms
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    Chapter 8 Efficient Adaptation of Modulation and Coding Schemes in High Quality Home Networks
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    Chapter 9 Distributed Graph Clustering for Application in Wireless Networks
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    Chapter 10 Considerations on Quality Metrics for Self-localization Algorithms
Attention for Chapter 2: Evolving Self-organizing Cellular Automata Based on Neural Network Genotypes
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