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AAAI
2011
13 years 13 days ago
Abductive Markov Logic for Plan Recognition
Plan recognition is a form of abductive reasoning that involves inferring plans that best explain sets of observed actions. Most existing approaches to plan recognition and other ...
Parag Singla, Raymond J. Mooney
CORR
2011
Springer
143views Education» more  CORR 2011»
13 years 4 months ago
Probabilistic Logic: Many-valuedness and Intensionality
The probability theory is a well-studied branch of mathematics, in order to carry out formal reasoning about probability. Thus, it is important to have a logic, both for computati...
Zoran Majkic
APIN
1998
78views more  APIN 1998»
14 years 4 days ago
The Method of Assigning Incidences
Incidence calculus is a probabilistic logic in which incidences, standing for the situations in which formulae may be true, are assigned to some formulae, and probabilities are as...
Weiru Liu, David McBryan, Alan Bundy
JAL
2008
83views more  JAL 2008»
14 years 12 days ago
Objective Bayesian probabilistic logic
This paper develops connections between objective Bayesian epistemology--which holds that the strengths of an agent's beliefs should be representable by probabilities, should...
Jon Williamson
IJAR
2008
106views more  IJAR 2008»
14 years 13 days ago
Probabilistic logic with independence
This paper investigates probabilistic logics endowed with independence relations. We review propositional probabilistic languages without and with independence. We then consider g...
Fabio Gagliardi Cozman, Cassio Polpo de Campos, Jo...
IJCAI
1989
14 years 1 months ago
Maximum Entropy in Nilsson's Probabilistic Logic
Nilsson's Probabilistic Logic is a set theoretic mechanism for reasoning with uncertainty. We propose a new way of looking at the probability constraints enforced by the fram...
Thomas B. Kane
AAAI
2008
14 years 2 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
ICLP
2010
Springer
14 years 4 months ago
Abductive Inference in Probabilistic Logic Programs
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...
Gerardo I. Simari, V. S. Subrahmanian
ECAI
1998
Springer
14 years 4 months ago
Probabilistic Logic Programming
We present probabilistic logic programming under inheritance with overriding. This approach is based on new notions of entailment for reasoning with conditional constraints, which...
Thomas Lukasiewicz
ISIPTA
2005
IEEE
137views Mathematics» more  ISIPTA 2005»
14 years 6 months ago
Basing Probabilistic Logic on Gambles
This article presents a probabilistic logic whose sentences can be interpreted as asserting the acceptability of gambles described in terms of an underlying logic. This probabilis...
Peter R. Gillett, Richard B. Scherl, Glenn Shafer