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» Merging Belief Bases Represented by Logic Programs
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ECML
2003
Springer
14 years 9 days ago
Robust k-DNF Learning via Inductive Belief Merging
A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
Frédéric Koriche, Joël Quinquet...
IJCAI
1993
13 years 8 months ago
A Metalogic Programming Approach to Reasoning about Time in Knowledge Bases
The problem of representing and reasoning about two notions of time that are relevant in the context of knowledge bases is addressed. These are called historical time and belief t...
Suryanarayana M. Sripada
ECAI
2004
Springer
14 years 15 days ago
From Knowledge-Based Programs to Graded Belief-Based Programs Part I: On-Line Reasoning
Knowledge-based programs (KBPs) are a powerful notion for expressing action policies in which branching conditions refer to implicit knowledge and call for a deliberation task at e...
Noël Laverny, Jérôme Lang
ATAL
2007
Springer
13 years 11 months ago
Model-based belief merging without distance measures
Merging operators try to define the beliefs of a group of agents according to the beliefs of each member of the group. Several model-based propositional belief merging operators h...
Verónica Borja Macías, Pilar Pozos P...
ICLP
2009
Springer
14 years 7 months ago
Merging Logic Programs under Answer Set Semantics
This paper considers a semantic approach for merging logic programs under answer set semantics. Given logic programs P1, . . . , Pn, the goal is to provide characterisations of the...
James P. Delgrande, Torsten Schaub, Hans Tompits, ...