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    An axiomatic model of non bayesian updating

    I had dinner with Tom’s son and his wife once and I described Tom to them as a national treasure.

    He is a nationally-recognized educator and his writing and presentations are devoured by fanatics like me across the globe.

    Craig is an excellent debater, although I wouldn’t say that gives any merit to his arguments.

    I think Craig won that debate rather easily, though Tabash offered more criticisms, in terms of volume, than Craig’s opponents usually do.

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    an axiomatic model of non bayesian updating-79an axiomatic model of non bayesian updating-20an axiomatic model of non bayesian updating-21an axiomatic model of non bayesian updating-86

    We show that any learning rule that satisfies general axioms of label neutrality, independence of irrelevance alternatives, history neglect, monotonicity, and unanimity will result in bounded rational updates that result in learning in strongly connected networks.

    This was when Mr Humphreys raised the vitally important topic of Star Trek.

    That, however, seemed to be his strategy: talk very fast, ‘dump’ as many arguments out as possible, and hope that Craig can’t find time to respond to them all.

    It was further developed by Pierre-Simon Laplace, who first published the modern formulation in his 1812 “Théorie analytique des probabilités.” Sir Harold Jeffreys put Bayes’ algorithm and Laplace's formulation on an axiomatic basis.

    I’m not the only one to benefit from Tom’s wisdom and generosity.

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