Organic Computing
Author(s)
Bibliographic Information
Organic Computing
（Understanding complex systems / founding editor, J.A. Scott Kelso）（Springer complexity）
Springer, c2008
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Note
"With 93 figures and 1 table"--on T.p.
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
Introduction: Organic Computing.- The Organic Future of Information Technology.- Systems Engineering for Organic Computing: The Challenge of Shared Design and Control between OC Systems and their Human Engineers.- Controlled Emergence and Self-Organization.- Organic Computing and Complex Dynamical Systems - Conceptual Foundations and Interdisciplinary Perspectives.- Evolutionary Design of Emergent Behavior.- Genesis of Organic Computing Systems: Coupling Evolution and Learning.- Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering.- Artificial Development.- Self-adaptive Worker-Helper Systems with Self-Organized Task Allocation.- Concepts for Self-Adaptive and Self-Healing Networked Embedded Systems.- An Artificial Hormone System for Self-Organizing Real-Time Task Allocation in Organic Middleware.- Bio-Inspired Networking - Self-Organizing Networked Embedded Systems.- Self-organized Evaluation of Dynamic Hand Gestures for Sign Language Recognition.- Subspace Image Representation for Facial Expression Analysis and Face Recognition and its Relation to the Human Visual System.
by "Nielsen BookData"
