Exploring Asu Cse 579 Knowledge Representation 2018 Lec17

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  • LPMLN to ASP Ontology RDF, RDFS.
  • Variations of Sudoku Elaboration Tolerance Aggregates.
  • LPMLN examples LPMLN systems Representing Bayes nets in LPMLN.
  • Markov Logic semantics: template for markov networks MAP inference in Markov Logic Walksat/MaxWalkSAT.
  • LPMLN vs. ASP vs. MLN.

In-Depth Information on Asu Cse 579 Knowledge Representation 2018 Lec17

Intro to probability theory Bayes nets Markov nets. blocks world nondeterministic actions concurrent actions non-inertial fluents. first-order logic: syntax, interpretation. stable models.

Planning, prediction, postdiction.

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