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Obituary: John Maynard Smith

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General fitness, health and nutrition
Published
26 April 2004
Last activity
11 May 2004
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Robert Karl Sto
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  1. John Maynard Smith dies Evolutionary biologist applied
    game theory to evolution, defended neo-Darwinism By
    Catherine Brahic

    One of the most renowned and influential evolutionary
    biologists of his generation, John Maynard Smith, died of
    lung cancer on April 19, at the age of 84.

    Maynard Smith was probably most widely known for applying
    game theory to evolutionary biology. Originally developed in
    1944 by John von Neumann and Oskar Morgentern, game theory
    is a mathematical model used by economists to study the
    outcomes of interactions between "collaborators" and
    "enemies" in situations in which neither can entirely
    predict the actions of the other, but can adapt their
    behavior according to what they see the other doing.

    Maynard Smith applied game theory to interactions between
    competing individuals of the same species that use different
    stratagems for survival.

    Imagine combat in which each individual must decide whether
    or not to escalate the fight without knowing his opponent's
    decision. Maynard Smith showed, with George Price, that the
    interests of both combatants are best served if both decide
    not to escalate the fight.

    Read the rest at The Scientist.com
    biomedcentral.com02

    Posted by Robert Karl Stonjek.

  2. Robert Karl Stonjek said:

    John Maynard Smith dies Evolutionary biologist applied
    game theory to evolution, defended neo-Darwinism By
    Catherine Brahic

    One of the most renowned and influential evolutionary
    biologists of his generation, John Maynard Smith, died of
    lung cancer on April 19, at the age of 84.

    Maynard Smith was probably most widely known for applying
    game theory to evolutionary biology. Originally developed
    in 1944 by John von Neumann and Oskar Morgentern, game
    theory is a mathematical model used by economists to study
    the outcomes of interactions between "collaborators" and
    "enemies" in situations in which neither can entirely
    predict the actions of the other, but can adapt their
    behavior according to what they see the other doing.

    Maynard Smith applied game theory to interactions between
    competing individuals of the same species that use
    different stratagems for survival.

    Imagine combat in which each individual must decide
    whether or not to escalate the fight without knowing his
    opponent's decision. Maynard Smith showed, with George
    Price, that the interests of both combatants are best
    served if both decide not to escalate the fight.

    I heard somewhere that Smith actually employed Nash
    equilibria formulations. You know, the guy the movie 'A
    Beautiful Mind' was based on. If I'm wrong about this, I
    would certainly like to know it, because I've repeated it to
    a number of people. It makes for a hell of an interesting
    story and brings ev science much closer to home for lots of
    folks. Comments anyone?

    PR

  3. in article [email hidden], Phil Roberts, Jr. at
    [email hidden] wrote on 4/26/04 9:47 PM:

    Quoted message said:

    I heard somewhere that Smith actually employed Nash
    equilibria formulations. You know, the guy the movie 'A
    Beautiful Mind' was based on. If I'm wrong about this, I
    would certainly like to know it, because I've repeated it
    to a number of people. It makes for a hell of an
    interesting story and brings ev science much closer to
    home for lots of folks. Comments anyone?

    John Maynard Smith was a major player in the early
    development of game theory, and its primary proponent in
    applying game theory to biological systems. If you pay close
    attention to the dialogue in the movie "A Beautiful Mind"
    you will here a quick comment toward the end to the effect
    that Nash thought those non-mathematicians applying game
    theory in scientific contexts like Biology were messing it
    all up. I am pretty sure that he was referring specifically
    to Maynard Smith. I am not saying that I agree with Nash,
    but AFAIK he did not have much respect for Maynard Smith.

    Guy

  4. "Phil Roberts, Jr." <[email hidden]> wrote in message news:<[email hidden]>...

    Quoted message said:

    I heard somewhere that Smith actually employed Nash
    equilibria formulations. You know, the guy the movie 'A
    Beautiful Mind' was based on. If I'm wrong about this, I
    would certainly like to know it, because I've repeated it
    to a number of people. It makes for a hell of an
    interesting story and brings ev science much closer to
    home for lots of folks. Comments anyone?

    According to Myerson's textbook "Game Theory", an ESS is a
    Nash equilibrium with some extra conditions. It is stable in
    a stronger sense. However, a Nash equilibrium always exists
    - an ESS need not.

  5. [email hidden] (Jim Menegay) wrote in message news:<[email hidden]>...

    Quoted message said:

    "Phil Roberts, Jr." <[email hidden]> wrote in
    message news:<[email hidden]>...

    Quoted message said:

    I heard somewhere that Smith actually employed Nash
    equilibria formulations. You know, the guy the movie 'A
    Beautiful Mind' was based on. If I'm wrong about this, I
    would certainly like to know it, because I've repeated
    it to a number of people. It makes for a hell of an
    interesting story and brings ev science much closer to
    home for lots of folks. Comments anyone?

    According to Myerson's textbook "Game Theory", an ESS is a
    Nash equilibrium with some extra conditions. It is stable
    in a stronger sense. However, a Nash equilibrium always
    exists - an ESS need not.

    Here is something else I just learned about the relationship
    between Nash and ESS. As you may know, the usual economic or
    political interpretation of a mixed strategy is that a
    rational game player will randomize responses (because being
    predictable can be a disadvantage). In biological
    applications, however, the two players are randomly chosen
    from a population, and the individual doesn't need to
    randomize - the population does it for him. When traditional
    game theorists first became aware of how biology had
    reinterpreted the meaning of mixed strategies, they
    considered this a major innovation - nothing like this had
    been published before. But then someone looked back at
    Nash's PhD. dissertation, and discovered that Nash had
    suggested this "mass action" interpretation way back around
    1950 in his dissertation, but had never published it in a
    journal article. All this and more is described in Nash's
    Nobel prize seminar:

    nobel.senash
    lecture.html

  6. In article <[email hidden]>,

    Jim Menegay said:

    When traditional game theorists first became aware of how
    biology had reinterpreted the meaning of mixed strategies,
    they considered this a major innovation - nothing like this
    had been published before. But then someone looked back at
    Nash's PhD. dissertation, and discovered that Nash had
    suggested this "mass action" interpretation way back around
    1950 in his dissertation, but had never published it in a
    journal article. All this and more is described in Nash's
    Nobel prize seminar:

    nobel.senash
    lecture.html

    One should note, without diminishing the value of that
    lecture, that the seminar involved talks by several other
    people, and the material in question is described (well) by
    Eric Van Damme, not by Nash himself.

    --
    Joe Felsenstein [email hidden]
    Department of Genome Sciences and Department of
    Biology, University of Washington, Box 357730, Seattle,
    WA 98195-7730 USA

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