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    The Principle of Indifference requires uniform distributi... — Carmelics
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    Home/Skepticism
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    Supports→The principle of maximum entropy is a more cautious and broadly applicable version of the Principle of Indifference.

    The Principle of Indifference requires uniform distribution but produces contradictions when the partition is not fixed.

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    Maximizing entropy generalizes uniform distribution while remaining applicable t...The principle of maximum entropy is a more cautious and broadly applicable versi...The principle of maximum entropy selects the probability measure that maximizes ...

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    The Principle of Indifference leads to contradictory results when the ...86%These two applications of the Principle of Indifference yield conflict...80%The No-Free-Lunch theorems show that if a uniform distribution is plac...74%The Geach–Boolos consistency proof for Frege Arithmetic works only whe...74%

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    SEP: formal-belief
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    Subjective probability theory models ignorance with respect to a proposition \(A\) by assigning probability of .5 to \(A\) and its complement \(\neg A\). More generally, an agent with subjective probability Pr is said to be ignorant with respect to the partition \(\{A_{1},\ldots,A_{n}\}\) if and only if \(\Pr(A_{i}) = 1/n\). The Principle of Indifference requires a doxastic agent to distribute her subjective probabilities in this fashion whenever, roughly, the agent lacks evidence of the relevan

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