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» Logical Information Systems: from Taxonomies to Logics
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FUZZIEEE
2007
IEEE
16 years 1 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
SEKE
2005
Springer
16 years 4 days ago
Generating Properties for Runtime Monitoring from Software Specification Patterns
The paper presents an approach to support run-time verification of software systems that combines two existing tools, Prospec and Java-MaC, into a single framework. Prospec can be...
Oscar Mondragon, Ann Q. Gates, Humberto Mendoza, O...
ECSQARU
1999
Springer
15 years 11 months ago
Nonmonotonic and Paraconsistent Reasoning: From Basic Entailments to Plausible Relations
In this paper we develop frameworks for logical systems which are able to re ect not only nonmonotonic patterns of reasoning, but also paraconsistent reasoning. For this we conside...
Ofer Arieli, Arnon Avron
IJAR
2008
92views more  IJAR 2008»
15 years 6 months ago
Predicting causality ascriptions from background knowledge: model and experimental validation
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
Jean-François Bonnefon, Rui Da Silva Neves,...
KES
2006
Springer
15 years 6 months ago
Solving power and trust conflicts through argumentation in agent-mediated knowledge distribution
Distributing pieces of knowledge in large, usually distributed organizations is a central problem in Knowledge and Organization management. Policies for distributing knowledge and...
Carlos Iván Chesñevar, Ramón ...