Complexity Books
Related Subjects: Conferences
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It's an interesting approach for identifying opportunitiesReview Date: 2006-12-28
Insightful Business AnalysisReview Date: 2006-04-22
When Less Is MoreReview Date: 2006-09-16
- Eliminating complexity that customers will not pay for
- Exploiting the complexity customers will pay for, and
- Minimizing the cost of the complexity you offer
In part 1 the case is made for conquering complexity in your business' portfolio (number of offerings) and processes (number of ways of doing the same thing). Part 2 develops the conceptual framework for measuring and managing complexity. In part 3, you are shown how to apply these concepts to the elimination, exploitation and reducing the costs of complexity.
Lastly, part 4 shows how to create an organisational culture that supports complexity management, conquer the complexity in your value chain and even apply the principles in mergers and acquisitions.
Practical way to determine complexityReview Date: 2005-05-03
The books provides a roadmap and technique that organizations can use to identify the bad compelxities that customers will not pay for. The book goes further and identifies possible solutions with a plethora of real life examples that make the theory easy to understand and apply
Compelling Business Case for Conquering ComplexityReview Date: 2005-06-25
This is the best guide out there in terms of a comprehensive approach to identify, quantify and attack complexity. The book is a very practical and pragmatic read with a wealth of real world examples and illustrations that reinforce concepts layed out in a logical sequence.
In researching a number of books though there are many that contain bits and pieces of concepts that relate to complexity, I have found that none of them tackle the concept of complexity as a discipline that must be mastered as Conquering Complexity does. I found it to be a refreshing, compelling book that you can follow step by step to create a complexity focus and agenda in your organization. There is tremendous power in purchasing the book for co-workers or Managers to help raise their complexity IQ and see what is possible. I continue to learn from the book as I refer back to it frequently. I would highly recommend it to anyone or any organization that is looking to continuously improve or to create greater value. I really found the sections on Product/Service proliferation to be right on, and a wealth of information. - Rodney

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complex systems applied to societyReview Date: 2008-08-30
very good introduction to the subjectReview Date: 2008-07-23
My only complain is that the book scarcelly discuss aplications in social sciences!!! I have to use specific articles with applications for that. the author should supress the subtitle. but it is still an excellent book.
Depending on your interest..Review Date: 2008-03-31
Good OverviewReview Date: 2008-06-20
If you are looking for a book that discusses progamming, how to do, or other deeper aspects of the field, you will be disappointed. However, if you are just curious and want a good general introduction to the field, perhaps with the goal of further exploration, it is a good anchor from which to base your learning.
Best in Class, Very Technical, Saluting and Moving OnReview Date: 2008-05-31
This book, and Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity) are two such books. I got half-way through this one, did the introduction to the other, from which I was immediately grabbed by the concept of:
"instead of explaining it, can you grow it?"
Howard Bloom, in Global Brain: The Evolution of Mass Mind from the Big Bang to the 21st Century teaches us that the only way to create a sustainable peace in the Palestine region is to provide absolute security for an entire generation, and raise two whole generations, one on each side, from kindergarten on us, generations that do not consider "the other" to be "pigs and monkeys" by the age of five.
Similarly, the literature on wealth of networks and the fortune at the bottom of the pyramid is growing, and I am convinced that public intelligence (decision support, full disclosure, end of information asymmetries) is going to accomplish two things in the next twenty years:
1) Eradicate corruption and enforce the triple-bottom line
2) Elevate five billion poor by teaching them one cell call at a time so that they can create infinite stabilizing wealth.
See for example:
Infinite Wealth: A New World of Collaboration and Abundance in the Knowledge Era
The Wealth of Networks: How Social Production Transforms Markets and Freedom
Revolutionary Wealth: How it will be created and how it will change our lives
The Fortune at the Bottom of the Pyramid: Eradicating Poverty Through Profits (Wharton School Publishing Paperbacks)
So the very best thing I can say about this book is that I am glad I bought it, I am very glad to have a sense, however weak, of this important exploratory area, and now I know that I need a team of generative social scientists that can do complex modeling for peace and prosperity solutions.
See also, just published at Amazon and free online at Earth Intelligence Network, Collective Intelligence: Creating a Prosperous World at Peace
I urge one and all to become familiar with World Index of Social and Environmental Responsibility (WISER), as best I can tell that is the center of gravity for empowering individuals with deep knowledge of the true costs and many human rights abuses and other crimes that we support today for lack of knowledge. I also recommend the pioneering EarthGame work of Medard Gabel, at BigPictureSmallWorld.

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Great organization building book, but not related to ChaosReview Date: 2003-06-26
The reason I only give it 4-star is because I can't find a strong link between all these great lessons and Chaos/Complexity/Quantum. I think all these lessons exist everywhere in all great organization building book.
Net, I recommend this book to anyone who are interested in organization building, but not about Chaos/complexity theory, etc.
A GREAT book & a must-read for anyone in business today.Review Date: 1999-04-22
This isn't a good book: it is a GREAT book. And, it is a must-read for anyone doing business on the bridge into the 21st Century.
Mark Youngblood has done a masterful job of simply and succinctly helping us understand the promise of ever-present, fast-paced, and dynamic change in our businesses. Encouraging us to transcend the limitations of Newtonian organizations, he brings tangible application to what it means to lead and work in a quantum one. He offers the promise that when we learn to embrace with the fluidity of chaos that we will be both more effective and enjoy our lives and work more. His examples are simple and direct and bring crystal clarity to the concepts he presents.
My personal copy is always near at hand, well-marked with dog-eared pages, sticky notes, and a long list of page reference notations in the back. When readers show up at my book signing with books that look like this, I know they have been well used...and my copy Life at the Edge of Chaos has indeed been well used. I can't recommend this book too highly.
practical marriage of mgt, theory & quantum principlesReview Date: 1997-12-11
Courageous steps to create non-toxic organizations.Review Date: 1998-01-15
Some good insights in a miasma of thought.Review Date: 1999-08-14

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A radiant reviewReview Date: 2006-11-16
I'm not as crazy about this book.....Review Date: 2000-08-12
(Please don't hate me for writing this!!!!)
Good seed material on consciousness studiesReview Date: 2000-11-19
The best book on consciousnessReview Date: 1999-07-13
Complexity: A New Framework for Philosophical reasoningReview Date: 2000-04-18

A Pair of Resourceful Young BirdsReview Date: 2007-12-25
The Doves of the book's title are two orphaned children, Finn and Derval Dove. They live in England with their "Uncle" Toby, who is actually their step-father. Toby, once the family's lodger, married the children's mother after their father died in an accident. Unfortunately, as the book opens, the children's mother has been dead for two years - and Toby has not been treating the children at all well. When Toby comes home from work, he expects the house to be clean and tidy and his dinner to be on the table. Once eaten, he'll head out to the pub and won't return until the children are in bed. He appears to have a particular dislike for Finn - a twelve year old boy with red hair who regularly gets beaten by his step-father. Derval, the younger of the pair, is a seven year old girl with blonde hair. When Finn becomes afraid that Toby is going to start beating his sister, he decides it's time to run away. Although he does have a destination in mind - his Granny O'Flaherty's home in the west of Ireland - he isn't too sure exactly where she lives. The journey across the sea isn't made an easier by a notable lack of funds - but the children take off as soon as Toby goes out to the Red Dragon.
When Toby discovers the pair missing the following morning - and realises he'll have to make his own breakfast - he falls into the depths of despair. Nevertheless, he believes the children will soon return of their own accord and doesn't notify the police. However, things change when he arrives at work and discovers the children are due to inherit a tidy sum from relatives in America. He realises Finn and Derval may have gone to Ireland, and soon the runaways are being hunted onboth sides of the Irish Sea. Although the children aren't long in making friends, their journey to Granny O'Flaherty's isn't going to be easy - not with the newspaper coverage and a bounty of their heads...
A very easily read and enjoyable children's book.
Children's Book Stands the Test of TimeReview Date: 2007-03-30
good book for 9-12 year oldsReview Date: 2006-05-03
My teacher read this to me in 1979- It still fills my heart!Review Date: 2001-07-02
Not just for children....Review Date: 2001-05-22

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intelligent but alarmistReview Date: 2002-07-19
Intelligent, But NOT Alarmist In The Least! Should Be Required Reading Before Graduating College!Review Date: 2005-11-21
Unfortunately for us, kooky consevatives, and their ilk, are attacking science on many fronts, trying, and many times succeeding, in blocking scientific progress. What a shame! Now it's biology that's "alamist." While the globe is warming, glaciers are melting to such a degree, that it's benefiting archeology; human caused extinctions of flora and fauna are reaching epochal proportions; huge area of oceans, lakes, and bays, have dead zones due to the lack of oxygenation; our environmental laws, here in the States, such as the Endangered Species Act, are under constant attack by Neanderthals in Congress; ad nauseum, the rest of us should just bury our collective heads in the proverbial sand! But when an emminet biologist tells the truth about where our planet's precious biodiversity is heading, he's "alamist."
This one of the most apolitical books I've ever read! But I'm certainly glad the author didn't have his book vetted by conservative lunatics, or their corporate and government allies!
This book won't be read by everone, BUT IT SHOULD BE!!!Review Date: 1999-06-22
A delightful read for the scientist and non-scientist alike.Review Date: 1999-07-25
Levin's tireless devotion to accrue knowledge and to interact with each of his colleagues and students at universities and workshops around the globe has armed him with the intuit and insight which he imparts in Fragile Dominion. Levin is known for humbling his opponent on the squash court, for his command of biology and mathematics, and for his hilarious antics and quick wit. This revered scientist will now be known for synthesizing the field of ecology in a powerful, succinct novel. A delightful read for the scientist and nonscientist alike, Fragile Dominion, like the life about which it provides commentary, is worth the ride.
Broaching an important topicReview Date: 2000-03-08
Levin rationally discusses the Gaia hypothesis and touches upon subjects such as fitness landscapes in population genetics, evolutionary stable strategies, the evolution of altruism, disturbance and recolonization in forest and tidal systems, self-organizing criticality, and the important notion that pattern and process are not necessarily the same everywhere.
Throughout the book, Levin effectively uses economic examples, such as diversity in a stock portfolio, as parallels for ecological systems.
One drawback is that the book's level of mathematical and ecological sophistication is perhaps aimed a bit too high for the popular audience for which it is intended. Conversely, it is pitched too low for use in a scholarly setting.
It should be noted that the mathematical aesthetic for this work comes from only one school of thought, that of the Santa Fe Institute.

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A R-Evolutionary BookReview Date: 1999-02-11
Best of classReview Date: 1998-10-19
Ok but not the bestReview Date: 2000-01-04
TEACH YOUR COMPANY TO PREPARE, ADAPT, AND CHANGE FASTERReview Date: 1999-04-01
The best integration of complexity and management yet!!Review Date: 1998-10-31
Michael Lissack, Director, Organization Science Related Programs, New England Complex Systems Institute

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Muy BuenoReview Date: 2001-04-24
Worth taking time off to read!!Review Date: 2003-11-12
To get a big group of business hall-of-famers together in one work is an achievement in itself. Kudos to Rowan Gibson for making this happen.
A Review of Rethinking the FutureReview Date: 2000-02-29
Rethinking Principles - Charles Handy, Stephen Covey Rethinking Competition - Michael Porter, CK Prahalad, Gary Hamel Rethinking Control & Complexity - Michael Hammer, Eli Goldblatt, Peter Senge Rethinking Leadership - Warren Bennis, John Kotter Rethinking Markets - Al Ries & Jack Trout, Philip Kotler Rethinking the World - John Naisbitt, Lester Thurow, Kevin Kelly
These thinkers present diverse views about key issues within their fields at the dawn of the 21st century. There are some common themes. Technology is viewed by all as the catalyst for the rapid rate of change. The widespread availability of technology has led to the democratization of information throughout the workplace. The world's leading nations in the east and the west are experiencing a shift to a knowledge-based economy requiring knowledge workers. These knowledge workers must be highly educated and possess technology skills. Another theme with strong consensus is the notion that the path to the future won't be found by implementing models and strategies that have been successful in the past.
Technology has facilitated the globalization of the world economy. This trend has forced business to rethink itself in terms of competition, markets, and trade. Convergence within and between industries will continue. This is evidenced by project or product based alliances. The goal of business is the satisfaction of customer needs. The informed customer is demanding a higher level of products, services, and satisfaction.
The 21st century leader has a responsibility to generate intellectual capital within the organization. The leader focuses the company on its purpose and principles. The leader's key obligation is to articulate vision and lead by example.
This selection is engaging reading. Gibson provides us with a wide lens to view many pictures of the future. He showcases a group of specialists from different fields. Rethinking the Future dispels the myth that the future can be easily predicted.
Melanie Tucker Pepperdine University Doctoral Student Educational Technology
Muy BuenoReview Date: 2001-04-24
Thinking before rethinkingReview Date: 2000-02-28
A book about business priciples in the future should represent a diverse global workforce and customer base. This book, without a single female contributor, stands firmly planted in the past.

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Frontiers of ComplexityReview Date: 2003-11-08
The authors examined the concept of complexity in such scientific disciplines as mathematics, biology, chemistry and physics.
The authors traced and illustrated the evolution (from reductionism) of complexity in the works of such scientists as:
Charles Babbage - English mathematician, a celebrated icon in the prehistory of computing. Invented Difference Engine No. 1. The Charles Babbage Institute is an historical archive and research center of the University of Minnesota.
George Boole - Better known for the algebras named after him, and as one of the pioneers of modern logic.
Kurt Godel - First to demonstrate that certain mathematical statements can neither be proved or disproved.
Richard Feynmann - Nobel laureate, introduced "universal quantum simulator".
Stuart Kauffman - Author of At Home in the Universe: The search for the Las of Self-Organization and Complexity.
The authors also emphasized the beginnings and advances in computing through the pioneering works of:
John von Neumann - Invented a self-reproducing automation to show how machine could perform the most basic function of life - reproduction. He is known as the "father of artificial life."
Allan Turing - His work on computers and their relationship with brains made him the "Father of Artificial Intelligence."
John Hopfield - Showed that there is a mathematical mapping of the Sherrington-Kirkpatrick spin-glass model onto a simple type of fully connected neural network model called Hopfield network.
What I got from this book:
Nothing interests me more than artificial intelligence in my brief exposure to the science of complexity. This book dealt with neural networks so much, I just loved it. On the other hand, its too little - just enough to keep me craving for more!
The foreword by Baruch Blumberg, Nobel laureate, left me with a robust and distinct message that I would like to share with you, and I quote: "Each time an experiment is performed to test a hypothesis, more questions are revealed; there is no limit to the mysteries of nature and to our desire to understand them. The study of complexity offers an opportunity to stand back and consider the global interactions of fundamental units - atoms, elementary particles, genes - to create a synthesis that crosses the borders of scientific disciplines, to see a grand vision of nature.
An introduction to complexity for the intelligent readerReview Date: 2000-09-17
While there are currently a number of very good non-technical introductions to complexity theory by such skilled authors as John Casti, Mitchell Feigenbaum and others, this particular volume may well be the best of an excellent lot. Highly recommended to anyone looking for a a non-rigorous, but non-trivial, introduction to the field.
Response to other reviewsReview Date: 2002-04-24
Good beginning, iffy second half.Review Date: 2001-01-21
This may sound like an exaggeration, but it really isn't: at the beginning of their chapter on complexity in chemical reactions, they dismiss the idea that chemistry (and by extension, biochemistry) can be explanied by quantum physics because the calculations it requires are too complicated. I understand that it is difficult to use quantum physics, and that its effects are only significant on the atomic level, but that does not mean that quantum effects do not exist! The chapter on chemistry marks the end of any reasonable explanation of complexity, and by end of the book complexity is almost completely forgotten, as the writing gushes on about neural networks and aritficial life.
It is these later chapters on life and aritificial life that are the most poorly written. The authors commonly say things like "It is becoming clear that obstacles to creating aritfical consciousness may not be as formidable as we had thought", yet provide little proof of this. They basically claim that neural networks are only a few innovations away from becoming fully funcitoning human brains, but they provide a one-sided explanation of their usefulness and fail to mention their failings, especially in cognitive science (which is the study of the brain, of all things). They strongly hint that current ALife programs are creating new life, when they are pretty must just clever programs that manipulate computer memory according to a set of rules. They just don't seem to realize that simulating certain aspects of life with computers and life itself are very different things! We are not even certain that neurons are the basic building block of the brain, yet they are claiming that we now know enough about the brain to create a computerized one in no time. Their argument is very smug and one-sided: the only time they ever mention a criticism to current ALife and AI practices is when they present Roger Penrose's very reasonable hypothesis about how computers cannot simulate intelligence in large part due to their reliance on mathematical logic, which, as Godel proved, can sometimes break down. Yet they quickly dismiss this view, seeming to think that Godel's theorems are nothing more than irrelevant parlor tricks. Their claim that a neural network can be taught to do anything, and therfore can overcome Godel's theorems, is especially poor: we could never teach a human brain to fly, for example, because it (and the body it is in) are not equipped to do this. So why do they think that our arcane artificial neural networks are equipped to create consciousness?
Despite this heavy criticism, however, this book is still quite interesting if you are new to complexity, chaos, and artificial life. The author's overexcitement about their field seems to be common when new branches of science emerge, like when AI was first getting off the ground. If you read this book, just realize that its bold claims may be grounded in false hope.
Excellent Primer on ComplexityReview Date: 2001-04-26

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GREAT INSIGHTS INTO ACHIEVING ORGANIZATIONAL SUCCESS!Review Date: 2008-04-06
Really interesting material. Really irritating structure. Review Date: 2008-01-26
McMaster likes to see himself as a philosopher of business, and the book is smarter than most business books. (Even if I wouldn't go so far as to call him a philosopher of business, assuming that I knew what that would even mean.) I find that most business writers actively grate on me and I find their conclusions both obvious and unhelpful. By contrast, McMaster raises some really interesting points and he expresses himself both well and clearly without losing the necessary complexity.
Unfortunately, the way the he structured the book made it very nearly unreadable for me. I have uploaded a page to the image library for this book here at Amazon so that you can see what I mean about the page layout.
In addition to the main text, McMaster puts a summary of the points in the margin and calls out examples in the grey box in the bottom of the page. As an occasional trope, this isn't that bad, but this structure persists throughout the book. I assume that it was supposed to make it easier to read and digest for busy managers. The result for me, however, was that the reading experience was broken and that my eye and attention were constantly confused about where to focus. I ended up reading the main text first, and then going back and reading the grey box examples. This seriously irritated me, and I lost a lot of the impact of the book. Perhaps this says something about me as a linear thinking but I would far rather have seen the examples integrated into the text. I would actively avoid buying another book structured like this in the future.
I did appreciate the annotated pointers to further reading that McMaster included at the back of the book.
it has a unique and powerful articulation on organizationsReview Date: 1998-07-14
How to herd cats! Leading self-organizing organizations.Review Date: 1999-08-16
McMaster rivals Nonaka's Knowledge-Creating CompanyReview Date: 1997-04-24
Related Subjects: Conferences
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This book proposes methods that cross conventional organizational boundaries, so the mission and the methods must be adopted by senior people who can see the benefits of crossing the boundaries. To make a difference managing complexity, these senior people must have the people and power to calculate new business measures and deploy teams that may not align with current organizations and departments.
The method seems sound, although the case studies are few. Anecdotes fill in the gap between idea and practice, and the anecdotes seem forced or coincidental (for example, Wal-Mart and Toyota can be used to justify nearly every business improvement method, even if neither of these companies goes on record as having used the method).
As usual in the improvement business, it's a matter of cost versus benefits. It seems to be a low risk analysis method that can reveal a potentially high risk, but high reward, payback. Since the equations are patented, presumably the only way that one can actually try this method is to contact (and hire?) Mr. George's consulting company.