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  1. John Maynard Smith FRS (6 January 1920 – 19 April 2004) was a British theoretical and mathematical evolutionary biologist and geneticist. Originally an aeronautical engineer during the Second World War, he took a second degree in genetics under the well-known biologist J. B. S. Haldane.

  2. John Maynard Smith (Londres, 6 de janeiro de 1920 — Lewes, 19 de abril de 2004) foi um biólogo britânico. Foi professor emérito na Universidade de Sussex, especializado em genética e teoria evolucionária. Famoso por utilizar a teoria dos jogos como ferramenta para explicar certos fenômenos evolucionários. [1]

  3. 20 de mai. de 2004 · John Maynard Smith — widely known as JMS — was an exceptionally lucid thinker and a delightful man. He would talk about science to anyone and, in the same open-minded way, treat young and ...

    • Eörs Szathmáry, Peter Hammerstein
    • 2004
  4. 1 de nov. de 2004 · A personal and scholarly appreciation of the influential evolutionary biologist John Maynard Smith, who died in 2004. The article covers his life, career, achievements, and legacy in population genetics and evolutionary theory.

    • Brian Charlesworth
    • 2004
  5. 28 de jun. de 2004 · John Maynard Smith (1920-2004) — Maynard Smith ou simplesmente JMS –, um dos gigantes da biologia evolutiva do século 20, morreu no último dia 19 de abril, em sua casa, na Inglaterra, vítima de complicações decorrentes de um câncer no pulmão. Umas duas décadas antes, ele já havia enfrentado um outro câncer, no cólon.

  6. 20 de abr. de 2004 · One of evolutionary biology's leading theorists, John Maynard Smith, died peacefully yesterday at his home. He was 84. Among his numerous contributions, Maynard Smith pioneered the application of game theory to biology and made significant contributions towards understanding the evolution of sex.

  7. 30 de jan. de 2020 · 50 years ago, John Maynard Smith offered a blueprint, a powerful way to communicate a key aspect of evolutionary genetics, greatly increasing the depths of our understanding. Through revisiting it, we learn that analogies can help scientists better perform their craft, and navigate the increasingly intertwined expanse between science ...