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Model theory / Logical consequence / Probability interpretations / Probability theory / Probabilistic logic / Probability / Bayesian probability / Interpretation / Inductive inference / Logic / Science / Philosophy of mathematics


IJCAI-13 Workshop on Weighted Logics for Artiticial Intelligence (WL4AI[removed]Unifying Probability and Logic for Learning Marcus Hutter John W. Lloyd
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Document Date: 2013-07-24 19:36:59


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City

Berlin / Cambridge / New York / Paris / /

Company

MIT Press / IOS Press / Lehigh University Press / Russell / Blackwell Publishing / Israel Journal / /

Country

Netherlands / /

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Facility

University of Illinois / /

IndustryTerm

inductive reasoning systems / logic networks / finite equation systems / computer applications / probabilistic reasoning systems / interpretaThe solution / /

Organization

Universal Artificial Intelligence / University of Illinois / ICT Centre of Excellence / Learning Marcus Hutter John W. Lloyd Research School / MIT / Australian Government / University of New South Wales / Lehigh University / Artiticial Intelligence / Australian Research Council / Australian National University / Department of Broadband / Communications and the Digital Economy / /

Person

Jacob Bernoulli / John W. Lloyd / Williamson / Ben Taskar / Inductive Logic / Nat / Ai / Introduction / Haim Gaifman / N. D. Goodman / V / Ng / William T. B. Uther / Contemporary Debates / Marcus Hutter John / Kee Siong Ng William / /

Position

editor / problem head / representative / General / /

ProvinceOrState

Illinois / California / New York / Massachusetts / /

PublishedMedium

Journal of the ACM / Annals of Mathematics / Machine Learning / the Philosophy of Science / The Blackwell Guide / Philosophy of Science / /

Region

South Wales / /

Technology

Broadband / artificial intelligence / machine learning / /

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http /

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