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ML
2006
ACM
122views Machine Learning» more  ML 2006»
13 years 8 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
AAAI
2006
13 years 9 months ago
MPE and Partial Inversion in Lifted Probabilistic Variable Elimination
It is often convenient to represent probabilistic models in a first-order fashion, using logical atoms such as
Rodrigo de Salvo Braz, Eyal Amir, Dan Roth
ECAI
2006
Springer
13 years 10 months ago
On the Logic of Theory Change: Relations Between Incision and Selection Functions
This work elaborates on the connection between partial meet contractions and kernel contractions in belief change theory. We present a way to define incision functions (used in ker...
Marcelo A. Falappa, Eduardo L. Fermé, Gabri...
IGPL
2010
111views more  IGPL 2010»
13 years 6 months ago
A logic of trust and reputation
Reputation and trust are useful instruments in multi-agent systems to evaluate agent behaviour. Most of the works on trust and reputation adopt a quantitative representation of the...
Andreas Herzig, Emiliano Lorini, Jomi Fred Hü...
ATAL
2007
Springer
13 years 12 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...