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Cognitive Agent-based Computing-I: A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods (SpringerBriefs in Cognitive Computation) Paperback – November 7, 2012

ISBN-13: 978-9400738515 ISBN-10: 940073851X Edition: 2013th

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Cognitive Agent-based Computing-I: A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods (SpringerBriefs in Cognitive Computation) + Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
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Product Details

  • Series: SpringerBriefs in Cognitive Computation (Book 1)
  • Paperback: 70 pages
  • Publisher: Springer; 2013 edition (November 7, 2012)
  • Language: English
  • ISBN-10: 940073851X
  • ISBN-13: 978-9400738515
  • Product Dimensions: 6.1 x 0.2 x 9.2 inches
  • Shipping Weight: 4 ounces (View shipping rates and policies)
  • Average Customer Review: 2.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #3,252,890 in Books (See Top 100 in Books)

Editorial Reviews

From the Back Cover

Complex Systems are made up of numerous interacting sub-components. Non-linear interactions of these components or agents give rise to emergent behavior observable at the global scale. Agent-based modeling
and simulation is a proven paradigm which has previously been used for effective computational modeling of complex systems in various domains. Because of its popular use across different scientific domains, research in agent-based modeling has primarily been
vertical in nature.
The goal of this book is to provide a single hands-on guide to developing cognitive agent-based models for the exploration of emergence across various types of complex systems. We present practical ideas and
examples for researchers and practitioners for the building of agent-based models using a horizontal approach - applications are demonstrated in a number of exciting domains as diverse as wireless sensors networks, peer-to-peer networks, complex social systems,
research networks and epidemiological HIV.


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1 of 1 people found the following review helpful By William A. Reed on October 17, 2013
Format: Paperback Verified Purchase
The subtitle of this book is "A unified framework for modeling complex adaptive systems using agent-based & complex network-based methods". But there is not much of a framework here, and only a cursory overview of many different complexity topics. When I purchased it, I didn't initially notice that there were only 55 pages rather than the advertised 70 pages and when subtracting the references, it is more like 46 pages of actual text.

In addition, the book is small in size so the content is more limited than might be expected. To be fair, the publisher labels this as one of the "briefs" in their 5-part series. The Springer website refers to the present book and a prior brief labeled "Sentic Computing (2012)" but at time of this writing, the publisher doesn't reference the future availability of the other four parts of this series, which are described briefly on page 20 of this volume. Assuming the other four parts are priced the same as this one, it will be quite expensive to obtain all 5 parts (about $240 US)!

This book is just puzzling on many levels. It seems more like an annotated table of contents for a future book than a work in itself. There are far too many topics for a tiny book. The unified framework consists of just two pages of simple flow charts indicating how the type of information available and the intent of the study will determine the approach. And many topics are just short single paragraphs. For example, section 4.5.5 is titled "Software Tools for Complex Networks" (p. 49). This topic includes just one paragraph and only 6 lines of text. Similarly, the section on quantitative measures (p. 47-49) is just over two pages in length.

The content quality seems scholarly and accurate, but there is just not much here for the price.
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