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» Language, Logic, and the Brain
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AAAI
2007
15 years 9 months ago
Logical Generative Models for Probabilistic Reasoning about Existence, Roles and Identity
In probabilistic reasoning, the problems of existence and identity are important to many different queries; for example, the probability that something that fits some description...
David Poole
DLOG
2010
15 years 4 months ago
Distance-based Measures of Inconsistency and Incoherency for Description Logics
Abstract. Inconsistency and incoherency are two sorts of erroneous information in a DL ontology which have been widely discussed in ontology-based applications. For example, they h...
Yue Ma, Pascal Hitzler
DLOG
2010
15 years 4 months ago
On the feasibility of Description Logic knowledge bases with rough concepts and vague instances
Abstract. A usage scenario of bio-ontologies is hypothesis testing, such as finding relationships or new subconcepts in the data linked to the ontology. Whilst validating the hypot...
C. Maria Keet
POPL
2009
ACM
16 years 7 months ago
Relaxed memory models: an operational approach
Memory models define an interface between programs written in some language and their implementation, determining which behaviour the memory (and thus a program) is allowed to hav...
Gérard Boudol, Gustavo Petri
ICLP
2009
Springer
16 years 7 months ago
Generative Modeling by PRISM
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
Taisuke Sato