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» Axiomatic First-Order Probability
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SYNTHESE
2010
102views more  SYNTHESE 2010»
13 years 5 months ago
Coherent choice functions under uncertainty
We discuss several features of coherent choice functions – where the admissible options in a decision problem are exactly those which maximize expected utility for some probabil...
Teddy Seidenfeld, Mark J. Schervish, Joseph B. Kad...
APAL
2002
101views more  APAL 2002»
13 years 7 months ago
The logic of tasks
The paper introduces a semantics for the language of classical first order logic supplemented with the additional operators and . This semantics understands formulas as tasks. An ...
Giorgi Japaridze
IJAR
2010
91views more  IJAR 2010»
13 years 6 months ago
Logical and algorithmic properties of stable conditional independence
The logical and algorithmic properties of stable conditional independence (CI) as an alternative structural representation of conditional independence information are investigated...
Mathias Niepert, Dirk Van Gucht, Marc Gyssens
AAAI
2006
13 years 9 months ago
Decision Making in Uncertain Real-World Domains Using DT-Golog
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
Mikhail Soutchanski, Huy Pham, John Mylopoulos
AAAI
2010
13 years 9 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...