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Changes of Relational Probabilistic Belief States and Their Computation under Optimum Entropy Semantics

N. Potyka, C. Beierle, and G. Kern-Isberner. German Conference on Artificial Intelligence (KI), volume 8077 of Lecture Notes in Computer Science, page 176-187. Springer, (2013)
DOI: 10.1007/978-3-642-40942-4\_16

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Christoph Schulz University of Stuttgart

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Knowledge Representation for Natural Language Understanding: The LLILOG Approach.C. Beierle, U. Pletat, and R. Studer. IEEE Trans. Knowl. Data Eng., 5 (3): 386-401 (1993)Observations on the Minimality of Ranking Functions for Qualitative Conditional Knowledge Bases and Their Computation.C. Beierle, R. Hermsen, and G. Kern-Isberner. FLAIRS Conference, AAAI Press, (2014)A Software System for the Computation, Visualization, and Comparison of Conditional Structures for Relational Probabilistic Knowledge Bases.C. Beierle, S. Kuche, M. Finthammer, and G. Kern-Isberner. FLAIRS Conference, page 558-563. AAAI Press, (2015)Semantische Aspekte des algebraischen Programmierens / Semantical Aspects of Algebraic Programming.C. Beierle. it - Informationstechnik, 30 (6): 446-455 (1988)Persistente Datenspeicherung in einer logischen Programmiersprache mit relationalen und deduktiven DatenbankenG. Meyer, C. Beierle, and R. Scheubrein. IWBS Report, (1992)An Overview on Planning Applications in PROTOS-LC. Beierle. IWBS Report, (1991)How to Combine the Benefits of Strict and Soft Typing.M. Widera, and C. Beierle. Scottish Functional Programming Workshop, volume 1 of Trends in Functional Programming, page 68-78. Intellect, (1999)Extending the Warren Abstract Machine to Polymorphic Order-Sorted Resolution.C. Beierle, G. Meyer, and H. Semle. ISLP, page 272-286. MIT Press, (1991)Dynamics of Knowledge and Belief.C. Beierle, and G. Kern-Isberner. J. Applied Logic, (2016)Relational Probabilistic Conditionals and Their Instantiations under Maximum Entropy Semantics for First-Order Knowledge Bases.C. Beierle, M. Finthammer, and G. Kern-Isberner. Entropy, 17 (2): 852-865 (2015)