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AAAI
2008
13 years 7 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
ECAI
2008
Springer
13 years 6 months ago
Belief Revision through Forgetting Conditionals in Conditional Probabilistic Logic Programs
Abstract. In this paper, we present a revision strategy of revising a conditional probabilistic logic program (PLP) when new information is received (which is in the form of probab...
Anbu Yue, Weiru Liu
ICLP
2004
Springer
13 years 10 months ago
Possible Worlds Semantics for Probabilistic Logic Programs
Abstract. In this paper we consider a logic programming framework for reasoning about imprecise probabilities. In particular, we propose a new semantics, for the Probabilistic Logi...
Alex Dekhtyar, Michael I. Dekhtyar
ECAI
2004
Springer
13 years 10 months 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
ILP
2007
Springer
13 years 11 months ago
Learning to Assign Degrees of Belief in Relational Domains
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
Frédéric Koriche