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» A probabilistic approach to default reasoning
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TPLP
2010
135views more  TPLP 2010»
15 years 4 months ago
Formalization of psychological knowledge in answer set programming and its application
In this paper we explore the use of Answer Set Programming (ASP) to formalize, and reason about, psychological knowledge. In the field of psychology, a considerable amount of kno...
Marcello Balduccini, Sara Girotto
ECAI
1990
Springer
15 years 10 months ago
Probabilistic Belief Logics
Modal logics based on Kripke style semantics are the prominent formalismin AI for modeling beliefs. Kripke semantics involve a collection of possible worlds and a relation among t...
Fahiem Bacchus
NMR
2004
Springer
15 years 11 months ago
Logic programs with annotated disjunctions
Current literature offers a number of different approaches to what could generally be called “probabilistic logic programming”. These are usually based on Horn clauses. Here, ...
Joost Vennekens, Sofie Verbaeten, Maurice Bruynoog...
IROS
2007
IEEE
125views Robotics» more  IROS 2007»
16 years 9 days ago
Probabilistic inference for structured planning in robotics
Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
Marc Toussaint, Christian Goerick
ILP
2007
Springer
16 years 4 days ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik