Organic Computing (Understanding Complex Systems) [Hardcover]

Rolf P. W�rtz (Editor)

Price:	�126.00 & this item Delivered FREE in the UK with Super Saver Delivery. See details and conditions
Deal Price:
	o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o

In stock but may require up to 2 additional days to deliver.
Dispatched from and sold by Amazon. Gift-wrap available.

Formats	Amazon Price		New from	Used from
Hardcover	�126.00		--	--
Paperback	�98.32		--	--

Amazon.co.uk Trade-In Store
Did you know you can trade in your old books for an Amazon.co.uk Gift Card to spend on the things you want? Visit the Books Trade-In Store for more details. Learn more.

› See more product promotions

Book Description

Publication Date: 28 Mar 2008 | ISBN-10: 3540776567 | ISBN-13: 978-3540776567 | Edition: 2008

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.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } 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.

Product details

Hardcover: 356 pages
Publisher: Springer; 2008 edition (28 Mar 2008)
Language: English
ISBN-10: 3540776567
ISBN-13: 978-3540776567
Product Dimensions: 15.5 x 2.8 x 23.5 cm
Amazon Bestsellers Rank: 5,527,474 in Books (See Top 100 in Books)

Would you like to update product info or give feedback on images?

See Complete Table of Contents

Product Description

From the Back Cover

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.

Inside This Book (Learn More)

Browse Sample Pages
Front Cover | Copyright | Table of Contents | Excerpt | Index

Sell a Digital Version of This Book in the Kindle Store

If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. Learn more

Customer Reviews

There are no customer reviews yet.

5 star

4 star

3 star

2 star

1 star

There are no customer reviews yet.

Write a customer review

.jsOffDisplayBlock { display: block; } .jsOffDisplayInline { display: inline; } .jsOffVisibility { visibility: visible; } .jsOnDisplayBlock { display: none; } .jsOnDisplayNoneBlock { display: block; } .jsOnDisplayNoneInline { display: inline; } .jsOnDisplayInline { display: none; } .jsOnVisibility { visibility: hidden; } .jqOnDisplayBlock { display: none; } .jqOnDisplayInline { display: none; } .jqOnVisibility { visibility: hidden; } .jqOnDisplayNoneBlock { display: block; } .jqOnDisplayNoneInline { display: inline; }