Whereas probabilistic logics in precept may be utilized to resolve more than a few difficulties, in perform they're hardly utilized - might be simply because they appear disparate, complex, and computationally intractable. This programmatic booklet argues that a number of techniques to probabilistic common sense healthy right into a easy unifying framework within which logically complicated proof is used to affiliate likelihood periods or possibilities with sentences. in particular, half I exhibits that there's a ordinary technique to current a query posed in probabilistic good judgment, and that quite a few inferential methods supply semantics for that query, whereas half II exhibits that there's the capability to strengthen computationally possible ways to mesh with this framework. The booklet is meant for researchers in philosophy, good judgment, laptop technology and data. A familiarity with mathematical innovations and notation is presumed, yet no complicated wisdom of common sense or chance concept is needed.
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Extra resources for Probabilistic Logics and Probabilistic Networks (Synthese Library)
A. (1922). at the mathematical foundations of theoretical records. Philosophical Transactions of the Royal Society of London, 222:309–368. Fisher, R. A. (1930). Inverse likelihood. lawsuits of the Cambridge Philosophical Society, 26:528–535. Fisher, R. A. (1935). The fiducial argument in statistical inference. Annals of Eugenics, 6:317–324. Fisher, R. A. (1936). doubtful inference. lawsuits of the yank Academy of Arts and Sciences, 71:245–258. Fisher, R. A. (1956). Statistical equipment and clinical Inference. Oliver and Boyd, Edinburgh. one hundred forty four References Gaifman, H. and Snir, M. (1982). chances over wealthy languages. magazine of Symbolic common sense, 47(3):495–548. Galavotti, M. C. (2005). A Philosophical creation to chance, quantity 167 of CSLI Lecture Notes. middle for the research of Language and data. Gelman, A. , Carlin, J. B. , Stern, H. S. , and Rubin, D. B. (2003). Bayesian information research, second variation, Chapman & corridor, Boca Raton, FL. stable, I. J. (1965). The Estimation of possibilities. MIT Press, Cambridge. Hacking, I. (1965). The good judgment of Statistical Inference. Cambridge college Press, Cambridge, MA. Haenni, R. (2002). A query-driven every time set of rules for argumentative and abductive reasoning. In Bustard, D. , Liu, W. , and Sterrit, R. , editors, Soft-Ware 2002, 1st foreign convention on Computing in a less than excellent international, LNCS 2311, pages 114–127. Springer, Belfast, united kingdom. Haenni, R. (2003). each time argumentative and abductive reasoning. tender Computing – A Fusion of Foundations, Methodologies and functions, 8(2):142–149. Haenni, R. (2005a). in the direction of a unifying concept of logical and probabilistic reasoning. In Cozman, F. B. , Nau, R. , and Seidenfeld, T. , editors, ISIPTA’05, 4th foreign Symposium on vague percentages and Their purposes, pages 193–202, Pittsburgh, united states. Haenni, R. (2005b). utilizing probabilistic argumentation for key validation in publickey cryptography. foreign magazine of Approximate Reasoning, 38(3):355– 376. Haenni, R. (2007). hiking the hills of compiled credal networks. In de Cooman, G. , Vejnarov´a, J. , and Zaffalon, M. , editors, ISIPTA’07, fifth foreign Symposium on obscure possibilities and Their purposes, pages 213–222, Prague, Czech Republic. Haenni, R. (2009). Probabilistic argumentation. magazine of utilized common sense, 7(2):155– 176. Haenni, R. and Hartmann, S. (2006). Modeling in part trustworthy details resources: a basic strategy according to Dempster-Shafer thought. overseas magazine of data Fusion, 7(4):361–379. Haenni, R. , Kohlas, J. , and Lehmann, N. (2000). Probabilistic argumentation platforms. In Gabbay, D. M. and Smets, P. , editors, guide of Defeasible Reasoning and Uncertainty administration structures, quantity five: Algorithms for Uncertainty and Defeasible Reasoning, pages 221–288. Kluwer educational Publishers, Dordrecht, Netherlands. Haenni, R. and Lehmann, N. (2003). Probabilistic argumentation structures: a brand new standpoint on Dempster-Shafer conception. foreign magazine of clever platforms, specific factor at the Dempster-Shafer idea of facts, 18(1):93–106.