8 found
Order:
  1.  13
    James Hawthorne, Jürgen Landes, Christian Wallmann & Jon Williamson (forthcoming). The Principal Principle Implies the Principle of Indifference. British Journal for the Philosophy of Science:axv030.
    We argue that David Lewis’s principal principle implies a version of the principle of indifference. The same is true for similar principles that need to appeal to the concept of admissibility. Such principles are thus in accord with objective Bayesianism, but in tension with subjective Bayesianism. 1 The Argument2 Some Objections Met.
  2.  11
    Jürgen Landes & Jon Williamson, Justifying Objective Bayesianism on Predicate Languages.
    Objective Bayesianism says that the strengths of one’s beliefs ought to be probabilities, calibrated to physical probabilities insofar as one has evidence of them, and otherwise sufficiently equivocal. These norms of belief are often explicated using the maximum entropy principle. In this paper we investigate the extent to which one can provide a unified justification of the objective Bayesian norms in the case in which the background language is a first-order predicate language, with a view to applying the resulting formalism (...)
    Direct download (3 more)  
     
    Export citation  
     
    My bibliography  
  3.  55
    George Darby & Jürgen Landes (2014). There Is More to a Paradox Than Credence. Thought: A Journal of Philosophy 3 (2):99-109.
    Besides the usual business of solving paradoxes, there has been recent philosophical work on their essential nature. Lycan characterises a paradox as “an inconsistent set of propositions, each of which is very plausible.” Building on this definition, Paseau offers a numerical measure of paradoxicality of a set of principles: a function of the degrees to which a subject believes the principles considered individually (all typically high) and of the degree to which the subject believes the principles considered together (typically low). (...)
    Direct download (7 more)  
     
    Export citation  
     
    My bibliography  
  4.  18
    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.
    Direct download (5 more)  
     
    Export citation  
     
    My bibliography   3 citations  
  5.  3
    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.
    A necessary and sufficient condition in terms of a de Finetti style representation is given for a probability function in Polyadic Inductive Logic to satisfy being part of a Language Invariant family satisfying Spectrum Exchangeability. This theorem is then considered in relation to the unary Carnap and Nix–Paris Continua.
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography   2 citations  
  6.  25
    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 (...)
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography  
  7.  1
    Jürgen Landes, Min–Max Decision Rules for Choice Under Complete Uncertainty: Axiomatic Characterizations for Preferences Over Utility Intervals.
    We introduce two novel frameworks for choice under complete uncertainty. These frameworks employ intervals to represent uncertain utility attaching to outcomes. In the first framework, utility intervals arising from one act with multiple possible outcomes are aggregated via a set-based approach. In the second framework the aggregation of utility intervals employs multi-sets. On the aggregated utility intervals, we then introduce min–max decision rules and lexicographic refinements thereof. The main technical results are axiomatic characterizations of these min–max decision rules and these (...)
    Direct download (2 more)  
     
    Export citation  
     
    My bibliography  
  8.  0
    Jürgen Landes (2015). Tychomancy: Inferring Probability From Causal Structure. International Studies in the Philosophy of Science 28 (4):446-448.
    Direct download (4 more)  
     
    Export citation  
     
    My bibliography