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AAAI
2008
13 years 11 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu
ARGMAS
2005
Springer
13 years 11 months ago
A Logic of Abstract Argumentation
of Abstract Argumentation Guido Boella1 , Joris Hulstijn2 , and Leendert van der Torre3 1 Universit´a di Torino 2 Vrije Universiteit, Amsterdam 3 CWI Amsterdam and Delft Universit...
Guido Boella, Joris Hulstijn, Leendert W. N. van d...
AAAI
1996
13 years 10 months ago
Irrelevance and Conditioning in First-Order Probabilistic Logic
First-order probabilistic logic is a powerful knowledge representation language. Unfortunately, deductive reasoning based on the standard semantics for this logic does not support...
Daphne Koller, Joseph Y. Halpern
AAAI
2012
11 years 11 months ago
A Tractable First-Order Probabilistic Logic
Tractable subsets of first-order logic are a central topic in AI research. Several of these formalisms have been used as the basis for first-order probabilistic languages. Howev...
Pedro Domingos, William Austin Webb
AAAI
2007
13 years 11 months ago
A Modal Logic for Beliefs and Pro Attitudes
Agents’ pro attitudes such as goals, intentions, desires, wishes, and judgements of satisfactoriness play an important role in how agents act rationally. To provide a natural an...
Kaile Su, Abdul Sattar, Han Lin, Mark Reynolds