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Organic Computing

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 scie...

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Detalles Bibliográficos
Autor principal: Würtz, Rolf P
Lenguaje:eng
Publicado: Springer 2008
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-540-77657-4
http://cds.cern.ch/record/1339220
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author Würtz, Rolf P
author_facet Würtz, Rolf P
author_sort Würtz, Rolf P
collection CERN
description 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.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2008
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spelling cern-13392202021-04-22T01:00:08Zdoi:10.1007/978-3-540-77657-4http://cds.cern.ch/record/1339220engWürtz, Rolf POrganic ComputingEngineeringOrganic 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.Springeroai:cds.cern.ch:13392202008
spellingShingle Engineering
Würtz, Rolf P
Organic Computing
title Organic Computing
title_full Organic Computing
title_fullStr Organic Computing
title_full_unstemmed Organic Computing
title_short Organic Computing
title_sort organic computing
topic Engineering
url https://dx.doi.org/10.1007/978-3-540-77657-4
http://cds.cern.ch/record/1339220
work_keys_str_mv AT wurtzrolfp organiccomputing