Self-Organization in Continuous Adaptive Networks

Thilo Gross

ISBN 10: 8770045208 / ISBN 13: 9788770045209

Published by Taylor & Francis Ltd (Sales) Okt 2024, 2024

About this Item

Neuware - In the last years, adaptive networks have been discovered simultaneously in different fields as a universal framework for the study of self-organization phenomena. Understanding the mechanisms behind these phenomena is hoped to bring forward not only empirical disciplines such as biology, sociology, ecology, and economy, but also engineering disciplines seeking to employ controlled emergence in future technologies. This volume presents new analytical approaches, which combine tools from dynamical systems theory and statistical physics with tools from graph theory to address the principles behind adaptive self-organization. It is the first class of approaches that is applicable to continuous networks. The volume discusses the mechanisms behind three emergent phenomena that are prominently discussed in the context of biological and social sciences:¿ synchronization,¿ spontaneous diversification, and¿ self-organized criticality.Self-organization in continuous adaptive networks contains extended research papers. It can serve as both, a review of recent results on adaptive self-organization as well as a tutorial of new analytical methodsSelf-organization in continuous adaptive networks is ideal for academic staff and master/research students in complexity and network sciences, in engineering, physics and maths.

Seller Inventory # 9788770045209

Bibliographic Details

• Title: Self-Organization in Continuous Adaptive Networks
• Publisher: Taylor & Francis Ltd (Sales) Okt 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 8770045208
• ISBN 13: 9788770045209
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 6D millimeters 234 millimeters width by 156 millimeters height by 6 millimeters depth
• Weight: 163 grams

About this title

Synopsis

In the last years, adaptive networks have been discovered simultaneously in different fields as a universal framework for the study of self-organization phenomena. Understanding the mechanisms behind these phenomena is hoped to bring forward not only empirical disciplines such as biology, sociology, ecology, and economy, but also engineering disciplines seeking to employ controlled emergence in future technologies. This volume presents new analytical approaches, which combine tools from dynamical systems theory and statistical physics with tools from graph theory to address the principles behind adaptive self-organization. It is the first class of approaches that is applicable to continuous networks. The volume discusses the mechanisms behind three emergent phenomena that are prominently discussed in the context of biological and social sciences:• synchronization,• spontaneous diversification, and• self-organized criticality.Self-organization in continuous adaptive networks contains extended research papers. It can serve as both, a review of recent results on adaptive self-organization as well as a tutorial of new analytical methodsSelf-organization in continuous adaptive networks is ideal for academic staff and master/research students in complexity and network sciences, in engineering, physics and maths.