Integrative functional statistics in logic programming

dc.contributor.author Angelopoulos,N en
dc.contributor.author Vítor Santos Costa en
dc.contributor.author Azevedo,J en
dc.contributor.author Wielemaker,J en
dc.contributor.author Rui Camacho en
dc.contributor.author Wessels,L en
dc.date.accessioned 2018-01-19T01:33:21Z
dc.date.available 2018-01-19T01:33:21Z
dc.date.issued 2013 en
dc.description.abstract We present r..eal , a library that integrates the R statistical environment with Prolog. Due to R's functional programming affinity the interface introduced has a minimalistic feel. Programs utilising the library syntax are elegant and succinct with intuitive semantics and clear integration. In effect, the library enhances logic programming with the ability to tap into the vast wealth of statistical and probabilistic reasoning available in R. The software is a useful addition to the efforts towards the integration of statistical reasoning and knowledge representation within an AI context. Furthermore it can be used to open up new application areas for logic programming and AI techniques such as bioinformatics, computational biology, text mining, psychology and neuro sciences, where R has particularly strong presence. © 2013 Springer-Verlag. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/7032
dc.identifier.uri http://dx.doi.org/10.1007/978-3-642-45284-0_13 en
dc.language eng en
dc.relation 5444 en
dc.relation 5129 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Integrative functional statistics in logic programming en
dc.type conferenceObject en
dc.type Publication en
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