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» Answer Sets for Propositional Theories
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AAAI
1994
13 years 10 months ago
Learning to Reason
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
Roni Khardon, Dan Roth
AI
2006
Springer
13 years 9 months ago
Solving logic program conflict through strong and weak forgettings
We consider how to forget a set of atoms in a logic program. Intuitively, when a set of atoms is forgotten from a logic program, all atoms in the set should be eliminated from thi...
Yan Zhang, Norman Y. Foo
AAAI
2000
13 years 10 months ago
From Causal Theories to Successor State Axioms and STRIPS-Like Systems
We describe a system for specifying the effects of actions. Unlike those commonly used in AI planning, our system uses an action description language that allows one to specify th...
Fangzhen Lin
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
14 years 2 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
AI
2011
Springer
13 years 4 months ago
Approximation of action theories and its application to conformant planning
This paper describes our methodology for building conformant planners, which is based on recent advances in the theory of action and change and answer set programming. The develop...
Phan Huy Tu, Tran Cao Son, Michael Gelfond, A. Ric...