Organic Computing


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Organic Computing


Organic Computing

Author: Rolf P. Würtz

language: en

Publisher: Springer Science & Business Media

Release Date: 2008-10-21


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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.

Organic Computing


Organic Computing

Author: Sven Tomforde

language: en

Publisher: kassel university press GmbH

Release Date: 2018-05-07


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This book presents the results of the OC-DDC 2017. Successful participants have been invited to extend their abstracts submitted to the event towards a full book chapter by taking reviews and feedback received at the event in Bochum into account. Seven of the participants prepared a contribution to this book, helped to perform a sophisticated review process, and finally came up with interesting articles summarising their current work in the context of Organic Computing. Hence, the book also gives an overview of corresponding research activities in the field in Germany for the year 2017. The collection of contributions reflects the diversity of the different aspects of Organic Computing. Furthermore, group discussions during the OC-DDC resulted in a contribution that aggregates the ideas of the participants related to applied machine learning for Organic Computing systems.Keine Angaben

Organic Computing


Organic Computing

Author: Tomforde, Sven

language: en

Publisher: kassel university press GmbH

Release Date: 2015-01-01


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This book consists of fourteen different contributions that can be grouped into five major categories reflecting the different aspects of current OC research in general: (1) trustworthiness, (2) swarm behaviour, (3) security and testing, (4) self-learning, and (5) hardware aspects.