1. Jürgen Landes & Jon Williamson, Objective Bayesianism and the Maximum Entropy Principle.
    Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabilities, they should be calibrated to our evidence of physical probabilities, and they should otherwise equivocate sufficiently between the basic propositions that we can express. The three norms are sometimes explicated by appealing to the maximum entropy principle, which says that a belief function should be a probability function, from all those that are calibrated to evidence, that has maximum entropy. However, the three norms of objective Bayesianism (...)
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  2. Jürgen Landes, Jeff B. Paris & Alena Vencovská (2010). A Characterization of the Language Invariant Families Satisfying Spectrum Exchangeability in Polyadic Inductive Logic. Annals of Pure and Applied Logic 161 (6):800-811.
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  3. Jürgen Landes, Jeff Paris & Alena Vencovská (2008). Some Aspects of Polyadic Inductive Logic. Studia Logica 90 (1):3 - 16.
    We give a brief account of some de Finetti style representation theorems for probability functions satisfying Spectrum Exchangeability in Polyadic Inductive Logic, together with applications to Non-splitting, Language Invariance, extensions with Equality and Instantial Relevance.
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