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Golem (ILP)
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{{Short description|Inductive logic programming algorithm}} '''Golem''' is an [[inductive logic programming]] algorithm developed by [[Stephen Muggleton]] and Cao Feng in 1990.<ref>{{Cite journal |last=Muggleton |first=Stephen H. |last2=Feng |first2=Cao |date=1990 |editor-last=Arikawa |editor-first=Setsuo |editor2-last=Goto |editor2-first=Shigeki |editor3-last=Ohsuga |editor3-first=Setsuo |editor4-last=Yokomori |editor4-first=Takashi |title=Efficient Induction of Logic Programs |url=https://dblp.org/rec/conf/alt/MuggletonF90.bib |journal=Algorithmic Learning Theory, First International Workshop, ALT '90, Tokyo, Japan, October 8-10, 1990, Proceedings |publisher=Springer/Ohmsha |pages=368β381}}</ref> It uses the technique of [[Inductive logic programming#Least general generalisation|relative least general generalisation]] proposed by [[Gordon Plotkin]], leading to a bottom-up search through the [[theta-subsumption|subsumption lattice]].<ref name=":0">{{Cite book |last=Nienhuys-Cheng |first=Shan-hwei |title=Foundations of inductive logic programming |last2=Wolf |first2=Ronald de |date=1997 |publisher=Springer |isbn=978-3-540-62927-6 |series=Lecture notes in computer science Lecture notes in artificial intelligence |location=Berlin Heidelberg |pages=354β358}}</ref> In 1992, shortly after its introduction, Golem was considered the only inductive logic programming system capable of scaling to tens of thousands of examples.<ref name=":1" />
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