Exploring Asu Cse 579 Knowledge Representation 2018 Lec8

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  • LPMLN examples LPMLN systems Representing Bayes nets in LPMLN.
  • first-order logic: syntax, interpretation.
  • Learning in MLN Using Alchemy for MLN Learning.
  • stable models.
  • blocks world nondeterministic actions concurrent actions non-inertial fluents.

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negation as failure, clingo programs. LPMLN to ASP Ontology RDF, RDFS. LPMLN vs. ASP vs. MLN. Intro to probability theory Bayes nets Markov nets.

Markov Logic Applications LPMLN: Syntax and Semantics.

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