Understanding What May Have Happened in Dynamic, Partially Observable Environments

Simple item page
dc.contributor.advisorTecuci, Gheorghe
dc.contributor.authorMolineaux, Matthew
dc.creatorMolineaux, Matthew
dc.date.accessioned2018-10-22T01:21:19Z
dc.date.available2018-10-22T01:21:19Z
dc.date.issued2017
dc.description.abstractIn this work, we address the problem of understanding what may have happened in a
dc.format.extent173 pages
dc.identifier.urihttps://hdl.handle.net/1920/11320
dc.language.isoen
dc.rightsCopyright 2017 Matthew Molineaux
dc.subjectArtificial intelligence
dc.subjectComputer science
dc.subjectAutonomous Agents
dc.subjectDeliberative Action
dc.subjectExplanation Generation
dc.subjectGoal Achievement
dc.subjectLearning Environment Models
dc.subjectPartially Observable Environments
dc.titleUnderstanding What May Have Happened in Dynamic, Partially Observable Environments
dc.typeDissertation
thesis.degree.disciplineComputer Science
thesis.degree.grantorGeorge Mason University
thesis.degree.levelPh.D.

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Molineaux_gmu_0883E_11544.pdf
Size:
2.45 MB
Format:
Adobe Portable Document Format
Download

Collections

College of Engineering and Computing