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Produktbeschreibungen
Pressestimmen
"Boston Globe
""Fisher makes intriguing connections" and "demonstrates that statistics don't always lie, and sometimes even tell important truths."
"Psychology Today"
"Fisher jumps with proficiency from locusts to pedestrians to computer algorithms to stock markets."
"BBC Focus" Magazine
"This would be my nominee for book of the year, if it wasn't still only January. Who knows what may turn up in the next 12 months? Whatever it is, though, will find Fisher a hard act to follow."
Scott M. Cooper, MIT research affiliate; co-author of "Coolhunting"
"It's a rare pleasure to read a book that builds on great ideas that have come before, pushes concepts forward, and challenges the intellect--while at the same time being eminently accessible. This is just such a book."
David Sumpter, professor of mathematics, Uppsala University
"Len Fisher reveals how the study of animal swarms allows us to better understand our own society. By blending personal stories with a clear presentation of new theoretical ideas he shows why rumors, ideas and information spread so rapidly through groups."
Gregory Sword, associate professor of biology, University of Sydney
"That complexity can be simple to explain might seem counterintuitive, but in "The Perfect Swarm: The Science of Complexity in Everyday Life," Len Fisher demonstrates just that. This book provides a thoughtful, entertaining, and--most important--easy to understand treatment of how patterns emerge and problems can be solved when many individuals interact in very simple ways. Clear and fluent, The Perfect Swarm is an enjoyable source of insight for those who would like to better understand how many seemingly complex things in the world really aren't so complex after all."
Peter A. Gloor, author of "Swarm Creativity" and "Coolhunting"
""The Perfect Swarm" does a marvelous job of explaining the network effects that determine our daily life. I highly recommend it to a
""Fisher makes intriguing connections" and "demonstrates that statistics don't always lie, and sometimes even tell important truths."
"Psychology Today"
"Fisher jumps with proficiency from locusts to pedestrians to computer algorithms to stock markets."
"BBC Focus" Magazine
"This would be my nominee for book of the year, if it wasn't still only January. Who knows what may turn up in the next 12 months? Whatever it is, though, will find Fisher a hard act to follow."
Scott M. Cooper, MIT research affiliate; co-author of "Coolhunting"
"It's a rare pleasure to read a book that builds on great ideas that have come before, pushes concepts forward, and challenges the intellect--while at the same time being eminently accessible. This is just such a book."
David Sumpter, professor of mathematics, Uppsala University
"Len Fisher reveals how the study of animal swarms allows us to better understand our own society. By blending personal stories with a clear presentation of new theoretical ideas he shows why rumors, ideas and information spread so rapidly through groups."
Gregory Sword, associate professor of biology, University of Sydney
"That complexity can be simple to explain might seem counterintuitive, but in "The Perfect Swarm: The Science of Complexity in Everyday Life," Len Fisher demonstrates just that. This book provides a thoughtful, entertaining, and--most important--easy to understand treatment of how patterns emerge and problems can be solved when many individuals interact in very simple ways. Clear and fluent, The Perfect Swarm is an enjoyable source of insight for those who would like to better understand how many seemingly complex things in the world really aren't so complex after all."
Peter A. Gloor, author of "Swarm Creativity" and "Coolhunting"
""The Perfect Swarm" does a marvelous job of explaining the network effects that determine our daily life. I highly recommend it to a
Kurzbeschreibung
IgNobel Prize-winner and author of "Rock, Paper, Scissors", Len Fisher applies science-based solutions to seemingly complex problems in life. One of the greatest discoveries of recent times is that the complex patterns we find in life are often produced when all of the individuals in a group follow the same simple rule. This process of 'self-organization' reveals itself in the inanimate worlds of crystals and seashells, but as Len Fisher shows, it is also evident in living organisms, from fish to ants to human beings. The coordinated movements of fish in shoals, for example, arise from the simple rule: 'Follow the fish in front.' Traffic flow arises from simple rules: 'Keep your distance' and 'Keep to the right'. Now, in his new book, Fisher shows how we can manage our complex social lives in an ever more chaotic world. His investigation encompasses topics ranging from 'swarm intelligence' to the science of parties and the best ways to start a fad. Finally, Fisher sheds light on the beauty and utility of complexity theory. An entertaining journey into the science of everyday life, "The Perfect Swarm" will delight anyone who wants to understand the complex situations in which we so often find ourselves.
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11 Rezensionen
38 von 41 Kunden fanden die folgende Rezension hilfreich
Science and mathematics of the most pleasurable sort
26. Dezember 2009
Format:Gebundene Ausgabe
As a glance at the "Look Inside" feature here on Amazon proves, Len Fisher writes a clear, interesting prose, raising important questions and suggesting rules that will help you make better decisions. He describes and applies 33 such rules in this latest contribution to popular science.
His basic thesis is that complex behaviors can be described by a simple rule. For example, gigantic numbers of fish seem to have a single mind -- but all a single fish has to know is to follow the fish immediately in front of it. Watching through your faceplate at gigantic schools of fish as they weave through the water -- you can see this rule in action in beautiful living color.
You can apply the same approach in trying to find a bargain, an approach that works best where there are many sellers and the products are fairly similar to each other.
The basic idea is "to estimate how many samples of the item might be available in total, and then look at a limited selection of these before choosing the next one that is at least as good (in terms of price and quality) as the best of those that we have so far seen. This procedure saves time and effort, and also reduces the possibility that we will spot a bargain, keep looking for a better one, decide on the original one, and go back only to find that it has been sold!"
Fisher explains the use of statistics in three scenarios:
"If we are going for the very best, we should look at one-third of all those available before going on to select the next one that is as good or better than the best that we have already seen (in terms of the lowest price for the same quality). This gives us a 33% chance of finding the very best bargain, and a very high chance of finding an extremely good bargain.
"If we are happy to accept a sample in the lowest 10% of prices, we need only look at 14% of the samples on offer before choosing the next one that we see which is at least as cheap as the cheapest of these. This gives us an 84% chance of settling on one among the cheapest 10%.
"If we are happy with a price in the lowest 25%, things get even better. We need only to look at 7% of the samples before choosing one that is at least as cheap as the cheapest we have seen. This gives you a whopping 92% chance of finding a bargain in your chosen range!"
Of course, if it's easy to find additional offers, or if it's fairly easy to get back to a better offer to see if it's still available, you may be able to get more/better/cheaper by spending a bit more time. Once you get the basic approach in mind, however, you'll be able to decide when to stop looking, make your choice, and get back to reading about other examples of how simple rules lead to great complexity.
Fisher's website is filled with additional examples, and his clear joy in reading and writing about science at work in our everyday life.
Robert C. Ross 2009
His basic thesis is that complex behaviors can be described by a simple rule. For example, gigantic numbers of fish seem to have a single mind -- but all a single fish has to know is to follow the fish immediately in front of it. Watching through your faceplate at gigantic schools of fish as they weave through the water -- you can see this rule in action in beautiful living color.
You can apply the same approach in trying to find a bargain, an approach that works best where there are many sellers and the products are fairly similar to each other.
The basic idea is "to estimate how many samples of the item might be available in total, and then look at a limited selection of these before choosing the next one that is at least as good (in terms of price and quality) as the best of those that we have so far seen. This procedure saves time and effort, and also reduces the possibility that we will spot a bargain, keep looking for a better one, decide on the original one, and go back only to find that it has been sold!"
Fisher explains the use of statistics in three scenarios:
"If we are going for the very best, we should look at one-third of all those available before going on to select the next one that is as good or better than the best that we have already seen (in terms of the lowest price for the same quality). This gives us a 33% chance of finding the very best bargain, and a very high chance of finding an extremely good bargain.
"If we are happy to accept a sample in the lowest 10% of prices, we need only look at 14% of the samples on offer before choosing the next one that we see which is at least as cheap as the cheapest of these. This gives us an 84% chance of settling on one among the cheapest 10%.
"If we are happy with a price in the lowest 25%, things get even better. We need only to look at 7% of the samples before choosing one that is at least as cheap as the cheapest we have seen. This gives you a whopping 92% chance of finding a bargain in your chosen range!"
Of course, if it's easy to find additional offers, or if it's fairly easy to get back to a better offer to see if it's still available, you may be able to get more/better/cheaper by spending a bit more time. Once you get the basic approach in mind, however, you'll be able to decide when to stop looking, make your choice, and get back to reading about other examples of how simple rules lead to great complexity.
Fisher's website is filled with additional examples, and his clear joy in reading and writing about science at work in our everyday life.
Robert C. Ross 2009
20 von 20 Kunden fanden die folgende Rezension hilfreich
Let's Vote On It
1. April 2010
Format:Gebundene Ausgabe|Von Amazon bestätigter Kauf
In many ways this book is a continuation of How We Decide by Jonah Lehrer. Whereas Lehrer explores the edge between actually thinking about our choices versus going with your gut, Len Fisher's The Perfect Swarm: The Science of Complexity in Everyday Life explores some of the surprising mathematics of decision-making. If you have 100 candidates for a job, you should interview the first 37 without hiring anybody, then hire the next one that looks better than the first 37. If you're shopping for bargains, you should look at 14 items then buy the next one that seems like a good deal. Asking a group of people to answer a question is almost 30% more likely to return the right answer than asking an expert - regardless of how knowledgable the group is.
These examples, and many more, are explained and discussed. Why would jury trials be more fair if the jurors didn't deliberate but simply voted? How can asymmetrical columns prevent crushing deaths in panicked crowds? How can passing a traffic jam actually make it worse?
Locusts swarm, ants swarm, bees swarm but they do it with very different rules. It's important to know whether to behave like an ant, a locust or a bee when deciding where to go or how to get there, or why. You can know when to trust your instincts and when to consult an expert -- or a random group of strangers. "Collective wisdom" such as the voters in a democracy are more likely to do the right thing than any -- repeat ANY -- single politician. Kind of restores your faith in the system, doesn't it? Unfortunately the flip side is that if there are three or more choices on a ballot, the winner is almost always the choice of a minority. And if each person has a less than 50/50 chance of coming up with the right answer, consultation is more likely to result in a disastrous "Group Think" than the correct answer (one example given: the lead-up to the Iraq invasion).
Swarm intelligence, as you can see, is a good bit more nuanced than the Toyota Production System: Beyond Large-Scale Production or What Color is Your Rainbow? would have us believe. Besides decision-making and collaborative thinking, Fisher discusses the six degrees of Kevin Bacon, military censorship, the World Wide Web, the Fibonacci sequence and the Golden Ratio, Benford's Law, Ramsey's Theorem, the 80/20 Rule, and dozens, maybe hundreds of other consequences. His writing reminds a bit of James Burke, whose mind races a million miles per hour bringing up unlikely but perfectly-logical Connections in his discussion. It's heady, brilliant and thrilling stuff.
The book proper is 172 pages followed by over 70 pages of notes, sidebars, elaborations, web links and bibliography for further reading.
These examples, and many more, are explained and discussed. Why would jury trials be more fair if the jurors didn't deliberate but simply voted? How can asymmetrical columns prevent crushing deaths in panicked crowds? How can passing a traffic jam actually make it worse?
Locusts swarm, ants swarm, bees swarm but they do it with very different rules. It's important to know whether to behave like an ant, a locust or a bee when deciding where to go or how to get there, or why. You can know when to trust your instincts and when to consult an expert -- or a random group of strangers. "Collective wisdom" such as the voters in a democracy are more likely to do the right thing than any -- repeat ANY -- single politician. Kind of restores your faith in the system, doesn't it? Unfortunately the flip side is that if there are three or more choices on a ballot, the winner is almost always the choice of a minority. And if each person has a less than 50/50 chance of coming up with the right answer, consultation is more likely to result in a disastrous "Group Think" than the correct answer (one example given: the lead-up to the Iraq invasion).
Swarm intelligence, as you can see, is a good bit more nuanced than the Toyota Production System: Beyond Large-Scale Production or What Color is Your Rainbow? would have us believe. Besides decision-making and collaborative thinking, Fisher discusses the six degrees of Kevin Bacon, military censorship, the World Wide Web, the Fibonacci sequence and the Golden Ratio, Benford's Law, Ramsey's Theorem, the 80/20 Rule, and dozens, maybe hundreds of other consequences. His writing reminds a bit of James Burke, whose mind races a million miles per hour bringing up unlikely but perfectly-logical Connections in his discussion. It's heady, brilliant and thrilling stuff.
The book proper is 172 pages followed by over 70 pages of notes, sidebars, elaborations, web links and bibliography for further reading.
8 von 8 Kunden fanden die folgende Rezension hilfreich
Entertaining discussion of crowd and swarm intelligence
22. Februar 2010
Format:Gebundene Ausgabe
As its title suggests, this lively book often makes its points with humor and wit. Physicist and author Len Fisher draws on laboratory experiments, observations of the natural world, well-known historical events, contemporary cases and examples from his own life, making a complex subject accessible. His book covers some ground that will be familiar from other books on group intelligence, collaboration and the wisdom of crowds, but the material on "swarm intelligence" is new. Fisher's numerous examples from all facets of nature provide highly fascinating case studies of group behavior. getAbstract recommends this book to professionals in marketing and strategy, and to trainers and readers who are interested in new ways of thinking.
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