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Robert M. Axelrod

The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration

by Robert Axelrod (Author)

4.6 32 ratings

Part of: Princeton Studies in Complexity (16 books)

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Robert Axelrod is widely known for his groundbreaking work in game theory and complexity theory. He is a leader in applying computer modeling to social science problems. His book The Evolution of Cooperation has been hailed as a seminal contribution and has been translated into eight languages since its initial publication. The Complexity of Cooperation is a sequel to that landmark book. It collects seven essays, originally published in a broad range of journals, and adds an extensive new introduction to the collection, along with new prefaces to each essay and a useful new appendix of additional resources. Written in Axelrod's acclaimed, accessible style, this collection serves as an introductory text on complexity theory and computer modeling in the social sciences and as an overview of the current state of the art in the field.

The articles move beyond the basic paradigm of the Prisoner's Dilemma to study a rich set of issues, including how to cope with errors in perception or implementation, how norms emerge, and how new political actors and regions of shared culture can develop. They use the shared methodology of agent-based modeling, a powerful technique that specifies the rules of interaction between individuals and uses computer simulation to discover emergent properties of the social system. The Complexity of Cooperation is essential reading for all social scientists who are interested in issues of cooperation and complexity.

ISBN-10

0691015678
ISBN-13

978-0691015675
Publisher

Princeton University Press
Publication date

August 18, 1997
Part of series

Princeton Studies in Complexity
Language

English
Dimensions

6 x 0.62 x 9 inches
Print length

248 pages
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4.6 out of 5

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G. Watson

Agent based models of Cooperation

Reviewed in the United States on January 21, 2009

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Axlerod's first book elucidated the "prisoner's dilemma" and why cooperation might be in our best interest. This book, an excellent follow on, does two things exceptionally well. First, it outlines a theory by which one can frame and think about the considerations agents take into account when cooperating and collaborating. From this point, it instantiates those theories with well thought examples of the theory. The second aspect that is remarkably useful for many, is the breadth of the examples. For example, Axlerod describes models that simulate emerging alliances among nations in World War II, as well as patterns in the dissemination of culture and norms. Axlerod's writing style is easy to follow and, in a field where complexity is typically described with long equations in set theory and logic, he avoids the proof through advanced math and provides access to these issues especially approriate for the novice. If one searches the internet you can find Axlerod's website, where the actual code and brief documentation is available for download, for both teaching and personal learning. Of course there are also two major weaknesses in the book. Because of this diversity of topics there is no developmental thread running through the book and the resource appendix is abysmal, but overall you can't do better for this topic.

14 people found this helpful

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Amazon Customer

Great Companion to'The Evolution of Cooperation'

Reviewed in the United States on September 25, 2003

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This books covers what Robert Axelrod been up to since "The Evolution of Cooperation." Extensions to the original "Prisoner's Dilemma" have required new agent behaviors for stable solutions.
"Coping with Noise" deals with agents that make mistakes in their defections and cooperation.
"Promoting Norms" covers the fact that pure self-interest isn't a stable strategy and to promote stability requires norms - common behaviors among agents. The most interesting result from his work is NOT that agents should punish defectors - that is intuitive - but agents who DON'T punish defectors (of norms) must be "persuaded" to punish defectors to keep the norm stable. I guess we all need both the carrot and stick!
"Choosing Sides" covers landscape theory - the creation of population aggregates because similar agents tend to clump together.
There are other interesting sections and I like this book. I would normally give a five to this book; however, this is also a thin book. If there were more coverage of the material and a more in depth discussion of other peoples work, I would have given it a five.

53 people found this helpful

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intrnst

It's not simple games. But it is.

Reviewed in the United States on July 22, 2017

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Don't let the math aspect of the book scars you. It's a philosophical analysis of the basics of life, some conclusions are deeper than many of us could guess. Worth every minute you engage your intelligence in it, if you dare.

One person found this helpful

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Ryan Compton

Good First Step into Practical Applications

Reviewed in the United States on September 26, 2013

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Had some nice examples and programming problems that were a good step into practical use of Agent-Based Modeling. This is much more for practical use than theoretical, since it is an expansion on Axelrod's previous book 'The Evolution of Cooperation'.

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Harlan R. Green

BRINGING COOPERATION BACK INTO VOGUE

Reviewed in the United States on February 5, 2009

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DR. AXLEROD IS A PIONEER IN EMERGING FIELD OF EVOLUTIONARY THINKING. HIS MODELS STUDY THE EFFICACY OF COOPERATION BOTH WITHIN AND WITHOUT COMPETITIVE ENVIRONMENTS, USING THE KISS METHOD--KEEP IT SIMPLE, STUPID. HIS STUDIES SHOW HOW WE REACH DECISIONS AND MAKE CHOICES IN THE REAL WORLD TAKING INTO ACCOUNT ALL ITS COMPLEXITIES, AS OPPOSED TO THE ARTIFICIAL WORLD OF RATIONAL CHOICE ASSUMPTIONS USED BY TRADITIONAL SOCIAL SCIENTISTS.

2 people found this helpful

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Andrew

Five Stars

Reviewed in the United States on July 3, 2018

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Hoping it would be as good as Evolution of Cooperation....and it delivered. Axelrod, in my opinion, is very underrated.

One person found this helpful

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Mehrdad Khakparaghi

Dynamics of cooperation and competition

Reviewed in the United States on June 7, 2023

"The Complexity of Cooperation" by Robert Axelrod delves into the intricate dynamics of cooperation and competition, exploring how these fundamental forces shape the behavior of individuals and groups. Drawing upon his extensive expertise in game theory, computer simulations, and social dynamics, Axelrod presents a compelling examination of cooperation and its complexities.

Analyzing Cooperation and Collaboration:
Axelrod sets the stage by delving into the nature of cooperation and the challenges it faces in various contexts. He emphasizes the importance of understanding the underlying mechanisms that drive cooperation, addressing questions such as why individuals cooperate, what strategies foster cooperation, and how cooperation emerges and sustains in the face of self-interest. Through a combination of theoretical frameworks, empirical studies, and agent-based models, Axelrod sheds light on the intricate interplay of individual incentives and collective outcomes in cooperative settings.

Agent-Based Modeling and Complexity:
A distinguishing feature of "The Complexity of Cooperation" is Axelrod's emphasis on agent-based modeling as a tool for exploring complex social phenomena. Axelrod demonstrates how agent-based models, which simulate the interactions of autonomous agents, can capture the dynamics of cooperation and competition in diverse scenarios. He illustrates the power of these models in uncovering the mechanisms underlying cooperation, examining the impact of different strategies, and understanding the robustness of cooperative behavior in the face of changing environments.

Case Studies and Empirical Evidence:
Throughout the book, Axelrod presents a range of captivating case studies and empirical evidence to support his arguments and illustrate the dynamics of cooperation. These examples span diverse domains, including biological systems, social networks, economic markets, and international relations. By analyzing real-world scenarios and drawing parallels with agent-based models, Axelrod provides a comprehensive understanding of the complexities and nuances of cooperation, enriching the reader's knowledge with empirical insights.

Comparative Analysis:
When compared to Axelrod's other notable work, "The Evolution of Cooperation," "The Complexity of Cooperation" delves deeper into the intricacies of cooperation and competition. While "The Evolution of Cooperation" focuses primarily on the emergence and evolution of cooperation, this book takes a broader perspective, exploring the interplay between cooperation and competition and the factors that influence their dynamics. By leveraging agent-based modeling and empirical evidence, Axelrod provides a more detailed and nuanced analysis of the complex nature of cooperation.

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Mark Collins

Very informative. Not excessively technical for the lay person ...

Reviewed in the United States on August 27, 2015

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Very informative. Not excessively technical for the lay person with some experience. Very encouraging to see this area being pursued.

2 people found this helpful

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Amazon Customer

Brilliant

Reviewed in the United Kingdom on May 28, 2010

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This book is containing several individual studies illustrating the usage of agent-based models and how to analyse the data from them. Good read for anyone interested in understanding complex behaviour in our society

八左衛門

社会科学の新しい方法論となるか?

Reviewed in Japan on October 9, 2004

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原著は1997年に出版されており、翻訳が出るのが待ちきれなかったので、数年前に原著で読みました。題名が原著と全く異なっていたため（直訳すれば「協調の複雑性」）、遅まきながら先日翻訳が出ていることに気づきました。翻訳文は読みやすく良くこなれていると思います。
本書で扱われているエージェントベース･アプローチとは、自律的に行動する主体（ｴｰｼﾞｪﾝﾄ）が集合的に相互作用を繰り返すことによって、全体として予想できないような現象を創発させる様子をコンピュータ･シミュレーションによって明らかにしようというものです。これによって、経済のみならず、国際政治、文化などの現象もシミュレートできるという研究事例が論文集という形で載せられています。
この方法論は数学的解析の限界を克服し、実験の困難な社会現象を扱うことができるという点で新しい研究の方法論として、複雑系ブームの去った今日でも、一部の研究者によって地道に研究が進められています。社会科学分野では、まだ完全に市民権を得たものとは言えないようですが、将来着実にその重要性を増す分野になるだろうと、個人的には期待しています。掲載されている論文も難解なものではないので、私のような専門外の者が読んでも十分知的刺激を味わえる内容です。

22 people found this helpful

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