TY - BOOK
T1 - QML-Morven
T2 - A Novel Framework for Learning Qualitative Models
AU - Pang, Wei
AU - Coghill, George M.
PY - 2012/6
Y1 - 2012/6
N2 - 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.
AB - 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.
KW - qualitative reasoning
KW - qualitative model learning
KW - artificial immune systems
KW - backtracking with forward checking
M3 - Book
T3 - Technical Report ABDN–CS–12–03
BT - QML-Morven
PB - Department of Computing Science, University of Aberdeen
CY - Aberdeen
ER -