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    Leonard J. Savage — Carmelics
    Thinkers/Leonard J. Savage
    LJ

    Leonard J. Savage

    contemporaryBayesian Decision Theory / Subjective Probability

    1917 – 1971

    Leonard J. Savage (1917-1971) was an American mathematician and statistician whose work laid the foundations of Bayesian decision theory and subjective probability. His 1954 book 'The Foundations of Statistics' established the axiomatic basis for expected utility theory under uncertainty, profoundly influencing economics, philosophy of science, and rational choice theory.

    WWikipedia

    Notable Achievements

    1

    Authored 'The Foundations of Statistics' (1954), establishing subjective expected utility theory

    2

    Developed the Savage axioms for rational decision-making under uncertainty

    3

    Introduced the concept of the 'sure-thing principle' in decision theory

    4

    Pioneered Bayesian approaches to statistical inference

    5

    Collaborated with Milton Friedman on the Friedman-Savage utility function

    Positions & Arguments

    (1)

    Skepticism

    claim

    Backward induction is self-undermining as a solution concept in certain extensive-form games

    Truth & Knowledge

    claim

    Backward induction is self-undermining as a solution concept in certain extensive-form games

    At a Glance

    Ideas

    1

    Topics

    2

    Era

    contemporary

    Tradition

    Bayesian Decision Theory / Subjective Probability

    Topic Influence

    Truth & Knowledge1
    Skepticism1

    Related Thinkers

    David Lewis2 sharedImmanuel Kant2 sharedBoyd2 sharedBrian Skyrms2 sharedStathis Psillos2 sharedBertrand Russell2 sharedDavid Hume2 sharedAristotle2 shared

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