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The Math Gene: How Mathematical Thinking Evolved and Why Numbers Are Like Gossip
 
 
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The Math Gene: How Mathematical Thinking Evolved and Why Numbers Are Like Gossip [Englisch] [Taschenbuch]

Keith J. Devlin
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Produktinformation

  • Taschenbuch: 348 Seiten
  • Verlag: Basic Books; Auflage: Pbk. (26. April 2001)
  • Sprache: Englisch
  • ISBN-10: 0465016197
  • ISBN-13: 978-0465016198
  • Größe und/oder Gewicht: 20,4 x 13,5 x 2,3 cm
  • Durchschnittliche Kundenbewertung: 5.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: Nr. 174.835 in Englische Bücher (Siehe Top 100 in Englische Bücher)

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Keith J. Devlin
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Produktbeschreibungen

Amazon.co.uk

For many, the mere word "mathematics" is enough to conjure up memories of incomprehension at school, and fear and loathing ever afterwards. Countless otherwise well-educated people see mathematics as the skeleton in their intellectual cupboard--the one key subject demanding a talent that they so obviously did not possess.

Or so it seems to anyone who has felt very much on the outside of the subject. British mathematician Keith Devlin is certainly on the inside--and in The Maths Gene he has wonderful news for everyone: we can all join him there. For Devlin argues that we all possess the ability to cope with mathematics, if only we recognise what's required. While a number of recent books, notably Stanislas Dehaene's The Number Sense, have focused on numerical ability, the scope of Devlin's book is much larger. He examines the evidence that we all possess, if not literally a gene, then at least an inherent ability not just for arithmetic but for real mathematics: algebra, calculus and the rest. Devlin even puts forward a Darwinian explanation for the origin of this ability, based on the idea that being able to handle abstract ideas and relationships confers key evolutionary advantages. Mathematics merely involves a relatively high level of abstraction--but one we can all cope with, if we work at it: "Doing mathematics is very much like running a marathon", says Devlin. "It does not require any special talent, and 'finishing' is largely a matter of wanting to succeed". In its wealth of wonderful examples supporting the central argument, The Maths Gene bears comparison with Steve Pinker's The Language Instinct and its plain common sense about this most misunderstood of subjects is truly inspirational. Thoroughly recommended for anyone seeking to rid their intellectual cupboard of the skeleton of mathematical "incompetence". --Robert Matthews -- Dieser Text bezieht sich auf eine vergriffene oder nicht verfügbare Ausgabe dieses Titels.

Amazon.com

For many, the mere word "mathematics" is enough to conjure memories of incomprehension at school, and fear and loathing ever afterward. Countless otherwise well-educated people see mathematics as the skeleton in their intellectual closet--the one key subject demanding a talent that they so obviously did not possess.

Or so it seems to anyone who has felt very much on the outside of the subject. British mathematician Keith Devlin is certainly on the inside, and in The Math Gene, he has wonderful news for everyone: we can all join him there. For Devlin argues that we all possess the ability to cope with mathematics--if only we recognize what's required. While a number of recent books, notably Stanislas Dehaene's The Number Sense, have focused on numerical ability, the scope of Devlin's book is much larger. He examines the evidence that we all possess, if not literally a gene, then at least an inherent ability not just for arithmetic but for real mathematics: algebra, calculus, and the rest. Devlin even puts forward a Darwinian explanation for the origin of this ability, based on the idea that being able to handle abstract ideas and relationships confers key evolutionary advantages.

Mathematics merely involves a relatively high level of abstraction--but one we can all cope with, if we work at it. "Doing mathematics is very much like running a marathon," writes Devlin. "It does not require any special talent, and 'finishing' is largely a matter of wanting to succeed."

In its wealth of wonderful examples supporting the central argument, The Math Gene bears comparison with Steven Pinker's The Language Instinct, and its plain common sense about this most misunderstood of subjects is inspirational. Thoroughly recommended for anyone seeking to rid their intellectual closet of the skeleton of mathematical "incompetence." --Robert Matthews, Amazon.co.uk -- Dieser Text bezieht sich auf eine vergriffene oder nicht verfügbare Ausgabe dieses Titels.


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Von Donald Mitchell TOP 500 REZENSENT
Format:Taschenbuch
Let's face it. Most people have trouble with math, and are delighted when they don't have to figure out any more when two trains are going to collide or pass each other. Personally, I always liked problems, so I found math interesting. My friends always thought that was one of my more peculiar characteristics.

Dean Keith Devlin deplores the fact that the way math (that which we learn after arithmetic is mastered) is taught obscures access to the most interesting parts of the subject. I agree with him on that. In this book, he tries to take away some of the fog for the reader by showing you thought processes that mathematicians use in some simple situations and problems that most people can grasp. These examples are nicely designed to build on one another, so you get a cumulative learning experience from them of how a mathematician may think. The "nested" design of the examples was impressive to me as an author.

This book is for those who think of themselves as nonmathematical and want to understand more about why they experience a weak skill set in that way. Mathematicians will probably find the book much too elementary to be interesting, except as a model of how to explain mathematics to the lay person. Those who study mind development will find the book full of logical proofs, but modest insight.

The author also tries to build a plausible scenario for how mathematical ability developed in primitive humans. I applaud his ambition. His speculations are interesting, but certainly did not persuade me. I think his problem was that he did not look far enough into the scientific research on how we learn.

Everyone has problems with something where we have no experience. As David Ingvar pointed out, we simply draw a blank until we can create experience in that area or connect to an existing experience. To help people learn, give them experience in the new thing that is structured to be connected to some familiar thing. This point is made indirectly by an example Dean Devlin provides: Children who have trouble doing simple arithmetic can make change perfectly well. The best educational techniques create simulations that encourage this approach focused in relevant experiences. Unfortunately, those who teach math are mostly immune to using this method. Higher math is taught in the way that makes it most difficult to understand -- as abstractions unconnected to other math or ordinary situations and people. You will often "feel" an underlying unity in math, but I never had a teacher who addressed it. The closest I came was in a calculus class where we wrote software programs to solve problems. Putting a virtually infinite set of rectangles together and adding their areas to approach the answer for the area under the curve was fascinating and useful to me.

The other problem with his arguments about the origins of mathematical ability is that he concentrates on the "formal proof" parts of this thinking which are conscious. Many people report that math for them is more unconscious and intuitive. I am one of those people. I can see the solution in a nonverbal, nonmathematical form. After I know the answer, then I sit down and painstakingly translate it into formal proofs. But that is merely for communication purposes. It doesn't help me at all. I was not surprised that Dean Devlin sees conscious mathematical thinking as being like language -- because that's the exact same purpose it serves. The more important question of how mathematical insight can be developed is not really addressed, as I understood the book. Dean Devlin alludes to those moments of inspiration, but doesn't tie them into his main themes. I suspect that "knowing" the answer in this unconscious way is much like "knowing" where to throw a rock to hit something, an example that Dean Devlin uses.

Reading this book made me realize that there are many disciplines where I do not understand the fundamental thought processes involved. Perhaps that is true of you, too. Since we often rely on other people to help us in these areas, we cannot hope to understand their advice if we do not understand the mental processes for how they arrive at that advice. I suggest that you and I start spending some time over lunch and drinks getting some more understanding of medicine, engineering, pscyhology, and teaching in this same way from professionals in those disciplines. I suspect we will be greatly helped by what we learn.

Peer out from the other person's mind from time to time to see more!
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24 von 25 Kunden fanden die folgende Rezension hilfreich
An exploration into the origins of mathematical ability 4. Oktober 2000
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
Devlin's "The Math Gene" is a wonderful book, well worth reading if you've an interest in how we think, and absolutely essential if your interest extends further to why we can do mathematics.

This is an intriguing question. After all, it's a fairly new part of human behavior - having been around maybe 10,000 years - that we all can do, at least a bit, and the rest of the animal kingdom can't, at least as far as we know.

Devlin's the first mathematician I know of who's looked deeply into this subject using recent research in the area; he's done a great job fitting the available data to a theory that starts to answer the question, how it is we can do mathematics?

First, though, you have to understand what mathematics really is. Devlin's definition is the "science of patterns" and he explains clearly and convincingly why it's the right one.

His premise, roughly, is that however we acquired language, and he stays mostly on the sidelines of the heated debates about that, mathematical ability came along for the ride. His reasoning is that "off-line reasoning" is an essentially equivalent to language, as you can't have one without the other, and that this plus some other abilities, such as a number sense and spatial reasoning, give us the ability to do mathematics.

He then explains why so many of us find the subject difficult. A simplified version is that we use language mainly to talk about interpersonal relationships. In a word, gossip. Note he's not claiming this to have been the purpose for it's development, just that it's what we mostly do with it now. And we're very good at gossiping. In fact, it's so easy we consider it to be a form of relaxation. To Devlin, you need to have the same kind of relationship with mathematical objects in order to be able to work with them.

The book's greatest strength, to my mind, is its gathering of results in cognitive psychology into a coherently developed thesis regarding the origins of mathematical ability. It's a worthy contribution to the discussion, even if the theory proposed is completely wrong, as it may well be. Devlin's open and clear about it being highly speculative.

I do have quibbles, but they're just that. Its major weakness, if the book can be said to have any, is that it doesn't make much by the way of predictions based on his theory, which would make it far more convincing. But this is a terrific starting point for other work.

27 von 31 Kunden fanden die folgende Rezension hilfreich
Fascinating, untestable, and plausible. Recommended. 31. Dezember 2000
Von Mike Christie - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe
"The Math Gene" presents a theory of how mathematical ability and language are related, and how they might have evolved. Devlin starts by separating "number sense" from mathematical ability. Many animals as well as humans can estimate the quantity of something; rats can be taught to press a lever about sixteen times to get a reward. The "about" is significant though; it's an estimate, not an exact count, as far as the rats are concerned. So if number sense and mathematical ability are not the same, what else is needed for mathematics? Devlin lists eight other attributes, including algorithmic ability, a sense of cause and effect, and relational reasoning ability.

Then there's a fairly long discussion of mathematics from the inside--are mathematician's brains different? What is it mathematicians do?--including a moderately detailed description of the basics of mathematical groups. I think Devlin does this to provide non-mathematicians with a sense of what mathematics is about, to make the rest of the book more plausible. This section is well-written and fluent, but I found myself getting a little impatient for the meat of his argument, which comes in the last half of the book. I suspect any reader with a good mathematics background would react the same way.

The next piece of the argument is to demonstrate that language is unlikely to have developed solely as a result of evolutionary pressure towards communication. This is a subtle point I haven't seen made before, but Devlin (who acknowledges his debts to other workers in this area) makes the case quite convincing. In summary: apart from extremely simple messages like "Danger!" and "Mammoth here" you can't communicate what you don't have a mental representation of. The evolution of communication can't have driven representation; it must have always lagged a half-step behind. So mental representation must have evolved first. I am not doing this argument justice here, but Devlin buttresses it well.

The inference is that language is simply a natural but lucky result of our ability to represent the world in our minds. Devlin's key point, however, is that since mathematics is essentially the ability to construct and work with increasingly abstract representations, the same mental changes that gave rise to language have also given rise to mathematics. His conclusion is that we all have the ability to do mathematics: there is no "math gene" except in the same way there is a "language gene": it's universal.

As a side note, not critical to his main argument, he points out that the most likely reason for the growth of representational ability in human brains was to foster understanding of other humans in the group; to encourage a sense of group-ness. For a creature that was more effective in group actions (e.g. hunting) there would have been a strong evolutionary advantage to having an emotional investment in the success of the group. Hence much of the early use of this ability would have been to represent others in the group; when language was added, it would have enabled people to talk about each other. In Devlin's words, "Having arisen as a side-effect of off-line thinking, language was immediately hijacked to facilitate gossip." (Off-line thinking is used to mean representational thinking that doesn't result in or from actions in the immediate environment.)

Two particular items in the book are worth mentioning. One is a followup to some famous experiments done by child psychologist Piaget in the 1930's. Piaget thought he'd demonstrated that children don't acquire a fully-developed number sense till around six years old. More recent work has demonstrated that children are much smarter than Piaget realized: there was a subtle and fascinating methodological flaw in Piaget's experiment. The second item is a little test of logical reasoning, presented with four cards on a table. Even mathematicians, who will probably get the test right, may be surprised at the coda to the test, which forms one of the few methods of direct verification of Devlin's claim that everyone can do mathematics.

The case is well-argued, but one problem with theories like these is that there *are* so few ways of finding out if they're true. "The Math Gene" is reminiscent of Julian Jaynes' "The Origin of Consciousness in the Breakdown of the Bicameral Mind" in this way; a fascinating argument that we may never be able to test. However, it's thought-provoking and plausible, and left me, at least, convinced of its likely truth.

8 von 9 Kunden fanden die folgende Rezension hilfreich
Wonderful insight into mathematics and human evolution 5. September 2002
Von "mathwhizuta" - Veröffentlicht auf Amazon.com
Format:Taschenbuch
The Math Gene is a wonderful insight into mathematics and how humans may have evolved the ability for mathematical thought. Dr Devlin gives a powerful argument for his theory in three parts. He begins with an explanation of the nature of mathematics, and dispells many misconceptions about math held by people outside of the mathematics community. He then spends the bulk of his text describing the nature and evolution of language and communication in humans and their differences with animals in that respect. He explains what pressures in the environment would be necessary to cause an evolutionary change in language and thought in a way that is understandable by a layperson and plausable to someone with a strong scientific background. He ends his book with a comparison of the mind's mathematical and language processes, why language (particularly gossip) must have preceded mathematical thought, and why mathematical thought is a direct product of any consciousness capable of language.

I thoroughly enjoyed this book, and have recommended it to friends and colleages alike. I would also recommend another one of Devlin's books, The Language of Mathematics, for a glimpse into the diverse and beautiful world of math any person could understand and appreciate.

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