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  1. Towards a probability logic based on statistical reasoning.Niki Pfeifer & G. D. Kleiter - 2006 - In Niki Pfeifer & G. D. Kleiter (eds.), Towards a probability logic based on statistical reasoning. pp. 2308--2315.
    Logical argument forms are investigated by second order probability density functions. When the premises are expressed by beta distributions, the conclusions usually are mixtures of beta distributions. If the shape parameters of the distributions are assumed to be additive (natural sampling), then the lower and upper bounds of the mixing distributions (P´olya-Eggenberger distributions) are parallel to the corresponding lower and upper probabilities in conditional probability logic.
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  • Implications of natural sampling in base-rate tasks.Gernot D. Kleiter - 2007 - Behavioral and Brain Sciences 30 (3):270-271.
    The hypothesis that structural properties and not frequencies per se improve base-rate sensitivity is supported from the perspective of natural sampling. Natural sampling uses a special frequency format that makes base-rates redundant. Unfortunately, however, it does not allow us to empirically investigate human understanding of essential properties of uncertainty – most importantly, the understanding of conditional probabilities in Bayes' Theorem.
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  • Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference.Tim Van Allen, Ajit Singh, Russell Greiner & Peter Hooper - 2008 - Artificial Intelligence 172 (4-5):483-513.
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  • Abductive inference in defeasible reasoning: a model for research programmes.Claudio Delrieux - 2004 - Journal of Applied Logic 2 (4):409-437.
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