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AAAI
2008
13 years 9 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 8 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
14 years 5 days 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
14 years 5 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
ILP
2007
Springer
14 years 28 days 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