Computing a Probabilistic Extension of Answer Set Program Language Using ASP and Markov Logic Solvers

Computing a Probabilistic Extension of Answer Set Program Language Using ASP and Markov Logic Solvers

abstract: LPMLN is a recent probabilistic logic programming language which combines both Answer Set Programming (ASP) and Markov Logic. It is a proper extension of Answer Set programs which allows for reasoning about uncertainty using weighted rules under the stable model semantics with a weight sch...

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Bibliographic Details
Other Authors: Talsania, Samidh (Author)
Format: Dissertation
Language:English
Published: 2017
Subjects:
Computer science
Online Access:http://hdl.handle.net/2286/R.I.45538

Internet

http://hdl.handle.net/2286/R.I.45538

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