Organic ComputingRolf P. Würtz Springer Science & Business Media, 21 oct 2008 - 355 páginas 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. |
Índice
1 | |
7 | |
The Challenge of Shared Design and Control between OC Systems and their Human Engineers | 25 |
4 Controlled Emergence and SelfOrganization | 81 |
5 Organic Computing and Complex Dynamical Systems Conceptual Foundations and Interdisciplinary Perspectives | 104 |
6 Evolutionary Design of Emergent Behavior | 123 |
Coupling Evolution and Learning | 141 |
Creating Decentralized Autonomous Systems by Embryomorphic Engineering | 167 |
10 Selfadaptive WorkerHelper Systems with SelfOrganized Task Allocation | 220 |
11 Concepts for SelfAdaptive and SelfHealing Networked Embedded Systems | 241 |
12 An Artificial Hormone System for SelfOrganizing RealTime Task Allocation in Organic Middleware | 261 |
13 BioInspired Networking SelfOrganizing Networked Embedded Systems | 284 |
14 Subspace Image Representation for Facial Expression Analysis and Face Recognition and its Relation to the Human Visual System | 303 |
15 Selforganized Evaluation of Dynamic Hand Gestures for Sign Language Recognition | 321 |
343 | |
9 Artificial Development | 201 |