Titlebook: Mathematical Models for Handling Partial Knowledge in Artificial Intelligence; Giulianella Coletti,Didier Dubois,Romano Scozzafav Book 199

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Andrea Capotortinsformation (Held .., 1999; Holsti, 2004; Sorensen, 2003). Several scholars argue that the form, agents and scale of governance are changing as part of a broader process of denationalization or globalization. In a particularly eloquent formulation of this argument, Bernhard Zangl and Michael aim poi

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Giuseppe Di Biase,Antonio Maturoy improve quality of life. Although a great deal of experimental data supports the beneficial effects of estrogen treatments on (arterial) cardiovascular prevention and brain function, it was recently discovered that some of the doses used, as well as certain routes of administration or different co

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Serena Doria,Antonio Maturose animals revealed loss of estrogen signaling. We now know that this first ER. knockout was not perfect and that some truncated forms of ER. are expressed in these mice (Couse et al. 1995). We also know that there is another ER, ER. (Kuiper et al. 1996), so that some estrogen signaling is still int

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Coherent Prevision as a Linear Functional without an Underlying Measure Space: The Purely Arithmeticive statistical outlook to numerically specified systems of uncertain knowledge. In this concluding discussion I shall emphasize the formal aspects of these activities that appear critically different from the structures associated with recent work on conditional events that derives its outlook at l

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Revision Rules for Convex Sets of Probabilitiesare many different justifications of the theory; however, all of these assume that for any proposition ., the beliefs in . and ⌝. are strongly tied together. Without compelling justification, this assumption greatly restricts the type of information that can be satisfactorily represented, e.g., it m