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Complex Adaptive Systems: An Introduction to Computational Models of Social Life
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Complex Adaptive Systems: An Introduction to Computational Models of Social Life

3.9 of 5 stars 3.90  ·  rating details  ·  176 ratings  ·  11 reviews

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical
Paperback, 263 pages
Published March 1st 2007 by Princeton University Press (first published 2007)
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A well-thought and clearly-written introduction to agent-based modeling, with main focus on its most popular application to social systems.

Such an introduction fills a vacancy in literature. Though the concept of ABM is intuitive, there are many aspects that need to be grasped before their full potentialities and limitations are entirely explicit. The first half of the book is dedicated to reflections on the concept of model itself, on its utility as a simplified map of the phenomena of interest
Rob T
My friend Jon loaned this to me as an academic read I might find interesting, and it lived up to the promise. Though it's written for an introductory course in complex systems, it reads like rigorous pop science for the first two-thirds with interesting examples of modeling systems with lots of agents (e.g. voting, biology, etc.). The last third gets harder to read at it shifts to proofs based on very simple systems, but by then you're so close to the end that you just have to finish.
John Carter McKnight
A tremendously useful introduction to a set of new lines of research in - every field imaginable. Moderate in its claims, starting from very elementary and easy to follow and developing to some moderately complex (for me) stats and algebra, at about the undergrad level, and eminently skippable for anyone not interested in mathematical modeling.

Really worth at least skimming for anyone looking to stay current in social science methods and their implications.
Alex Whalen
Really fantastic overview of the current state of CAS theories and models. So good, in fact, that its become an essential part of my dissertation!
Dona Baker
I am slogging my way through this as I don't have a statistics or economics education which would be helpful as a basis for understanding the math in this book.

Regardless, it is great information especially if it is supplemented with other courses that are produced by Scott Page through Coursera and The Great Courses series of DVD's
Brilliant introduction to the model of complex adaptive systems as applied to social organizations. A must read for social scientists who are interested in the application of the complex adaptive systems model to their own interests.
Hard work! Lots of references to scientific/academic papers particularly annoying when the references are to papers produced by the authors themselves, and not enough detail on the examples -. That said an interesting book – I am not sure I would call it an ‘introduction’ though a lot of prior knowledge is required to understand the topics or a desire to stop every few pages and investigate exactly what they mean by...
The most simple language text i could find on the topic. that being said, still very dense and hard to follow. more of a fault of the abstract and complex nature of CAS then the author but still.
Robin Berjon-berthezène
It's not a bad book, but it's a very slow introduction to the topic, primarily aimed as social scientists. I wouldn't recommend it to anyone who can grasp computer-related topics quickly.
The nerd guide to the Galaxy ...
I think if this can be combined with game theory and chaotic modeling scientists might be able to socialize like any normal human ..
Jul 22, 2010 DJ marked it as to-read
Shelves: networks
applications to social dynamics
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John Howard Miller, 1959-

Experiments with economic principles, c1997: t.p. (John H. Miller) p. iii (assoc. prof., economics, Carnegie Mellon U., Pittsburgh, 1989- ;Ph.D., U. of Michigan)
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“Models need to be judged by what they eliminate as much as by what they include—like stone carving, the art is in removing what you do not need.” 0 likes
“Good modeling requires that we have just enough of the “right” transparencies in the map. Of course, the right transparencies depend on the needs of a particular user.” 0 likes
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