logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Organic Computing 1st Edition Rolf P Wrtz Auth

  • SKU: BELL-4192672
Organic Computing 1st Edition Rolf P Wrtz Auth
$ 31.00 $ 45.00 (-31%)

4.8

44 reviews

Organic Computing 1st Edition Rolf P Wrtz Auth instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 12.25 MB
Pages: 355
Author: Rolf P. Würtz (auth.)
ISBN: 9783540776567, 9783540776574, 3540776567, 3540776575
Language: English
Year: 2008
Edition: 1

Product desciption

Organic Computing 1st Edition Rolf P Wrtz Auth by Rolf P. Würtz (auth.) 9783540776567, 9783540776574, 3540776567, 3540776575 instant download after payment.

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.

Related Products