Abstract
The paper investigates the generalization, the composition, and the chaining of argument forms in conditional probability logic. Adding premises to probabilistic argument forms does not necessarily improve the information transmitted to the conclusions, but quite contrary, usually leads to probabilistic less informative conclusions. Selecting the one or two most relevant premises results in a good Ockham razor in probability logic. The consequences for modeling human uncertain reasoning and human judgment and decision making are discussed.
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Kleiter, G.D. (2013). Ockham’s Razor in Probability Logic. In: Kruse, R., Berthold, M., Moewes, C., Gil, M., Grzegorzewski, P., Hryniewicz, O. (eds) Synergies of Soft Computing and Statistics for Intelligent Data Analysis. Advances in Intelligent Systems and Computing, vol 190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33042-1_44
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DOI: https://doi.org/10.1007/978-3-642-33042-1_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33041-4
Online ISBN: 978-3-642-33042-1
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