QML-Morven: A Novel Framework for Learning Qualitative Models

Wei Pang, George M. Coghill

Research output: Book/ReportBook


In this report, a novel qualitative model learning (QML) framework namedQML-Morven is presented. QML-Morven is an extensible framework and currently includes three QML subsystems, which employ either symbolic or evolutionary approachesas their learning strategies. QML-Morven uses the formalism of Morven, a fuzzy qualitative simulator, to represent and reason about qualitative models, and it also utilisesMorven to verify candidate models. Based on this framework, a series of experiments weredesigned and carried out to: (1) verify the results obtained by the previous QML systemILP-QSI; (2) investigate factors that in¿uence the learning precision and minimum datarequirement for successful learning; (3) address the scalability issue of QML systems.
Original languageEnglish
Place of PublicationAberdeen
PublisherDepartment of Computing Science, University of Aberdeen
Publication statusPublished - Jun 2012

Publication series

NameTechnical Report ABDN–CS–12–03


  • qualitative reasoning
  • qualitative model learning
  • artificial immune systems
  • backtracking with forward checking


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