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    Patrick Maher — Carmelics
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    Patrick Maher

    contemporaryBayesian Epistemology

    Patrick Maher is an American philosopher of science who spent his career at the University of Illinois at Urbana-Champaign. He is best known for his work on Bayesian epistemology, inductive logic, and the foundations of probability, particularly his pragmatic defense of Bayesian reasoning in his book Betting on Theories (1993). He has also made notable contributions to debates on probabilistic abduction and its advantages over standard Bayesian updating.

    Notable Achievements

    1

    Authored Betting on Theories (1993), advancing a pragmatic foundation for Bayesian confirmation theory

    2

    Developed arguments for probabilistic abduction as a superior alternative to strict Bayesian conditionalization

    3

    Contributed to the formal analysis of convergence-to-truth properties of competing inference rules

    4

    Advanced the philosophical foundations of inductive logic and subjective probability

    Positions & Arguments(9)

    Skepticism

    claim

    The principle of maximum entropy is a more cautious and broadly applicable version of the Principle of Indifference.

    Truth & Knowledge

    claim

    The principle of maximum entropy is a more cautious and broadly applicable version of the Principle of Indifference.

    premise

    A loss in one respect may be outweighed by a benefit in another

    At a Glance

    Ideas

    9

    Topics

    5

    Era

    contemporary

    Tradition

    Bayesian Epistemology

    Topic Influence

    Truth & Knowledge9
    Consequentialism4
    Causation3
    Skepticism
    premise

    Advantages not expressible in monetary terms can still be rationally decisive

    claim

    Following a probabilistically incoherent rule is not necessarily irrational

    premise

    Approaching the truth faster—assigning probability above a threshold to the true hypothesis more quickly—is an advantage that should factor into choosing an inference rule

    premise

    A probabilistic version of abduction may perform better than Bayes' rule in our world by approaching the truth faster

    claim

    Probabilistic abduction may be preferable to Bayes' rule as an inference rule

    premise

    Approaching the truth faster (assigning high probability to the true hypothesis more quickly) is a benefit not readily expressed in monetary terms but should be taken into account when choosing an inference rule

    premise

    Probabilistic abduction approaches the truth faster than Bayes' rule on average in our world

    Consequentialism

    premise

    A loss in one respect may be outweighed by a benefit in another

    premise

    Advantages not expressible in monetary terms can still be rationally decisive

    premise

    Approaching the truth faster—assigning probability above a threshold to the true hypothesis more quickly—is an advantage that should factor into choosing an inference rule

    premise

    Approaching the truth faster (assigning high probability to the true hypothesis more quickly) is a benefit not readily expressed in monetary terms but should be taken into account when choosing an inference rule

    Moral Responsibility

    claim

    Following a probabilistically incoherent rule is not necessarily irrational

    Causation

    premise

    A probabilistic version of abduction may perform better than Bayes' rule in our world by approaching the truth faster

    claim

    Probabilistic abduction may be preferable to Bayes' rule as an inference rule

    premise

    Probabilistic abduction approaches the truth faster than Bayes' rule on average in our world

    1
    Moral Responsibility1

    Related Thinkers

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