Buch, Englisch, 355 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 557 g
Buch, Englisch, 355 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 557 g
Reihe: Understanding Complex Systems
ISBN: 978-3-642-09642-6
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik Mathematik Mathematische Analysis Differentialrechnungen und -gleichungen
- Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Statik, Dynamik, Kinetik, Kinematik
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Sozialwissenschaften Psychologie Allgemeine Psychologie Biologische Psychologie, Neuropsychologie
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
Weitere Infos & Material
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.
