Organic Computing (Understanding Complex Systems)

Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociology can be tackled scientifically in a unified way. From the computer science point of view, the apparent ease in which living systems solve computationally difficult problems makes it inevitable to adopt strategies observed in nature for creating information processing machinery. In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering, routing, face recognition, and sign language understanding. Front Matter....Pages I-XI Introduction: Organic Computing....Pages 1-6 The Organic Future of Information Technology....Pages 7-24 Systems Engineering for Organic Computing: The Challenge of Shared Design and Control between OC Systems and their Human Engineers....Pages 25-80 Controlled Emergence and Self-Organization....Pages 81-103 Organic Computing and Complex Dynamical Systems – Conceptual Foundations and Interdisciplinary Perspectives....Pages 105-122 Evolutionary Design of Emergent Behavior....Pages 123-140 Genesis of Organic Computing Systems: Coupling Evolution and Learning....Pages 141-166 Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering....Pages 167-199 Artificial Development....Pages 201-219 Self-adaptive Worker-Helper Systems with Self-Organized Task Allocation....Pages 221-239 Concepts for Self-Adaptive and Self-Healing Networked Embedded Systems....Pages 241-260 An Artificial Hormone System for Self-Organizing Real-Time Task Allocation in Organic Middleware....Pages 261-283 Bio-Inspired Networking — Self-Organizing Networked Embedded Systems....Pages 285-302 Subspace Image Representation for Facial Expression Analysis and Face Recognition and its Relation to the Human Visual System....Pages 303-320 Self-organized Evaluation of Dynamic Hand Gestures for Sign Language Recognition....Pages 321-342 Back Matter....Pages 247-253