Title :
On Extracting Arguments in Favor of One Given Conclusion
Author_Institution :
Univ. d´Artois, Lens, France
Abstract :
An any-time approach to extract the deductive arguments in favor of a given conclusion from a set of formulas is proposed. Since the number of such arguments can be exponential in the worst-case, the approach focuses first on a series of arguments with mutually independent supports before it considers additional arguments. It is developed in the standard clausal Boolean framework and it is based on a refutation-like method that benefits from recent progress in the practical extraction of minimal unsatisfiable subsets of Boolean clauses.
Keywords :
"Benchmark testing","Standards","Computational modeling","Ports (Computers)","Conferences","Data mining","Lenses"
Conference_Titel :
Information Reuse and Integration (IRI), 2015 IEEE International Conference on
DOI :
10.1109/IRI.2015.51