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・ Knowledge balance sheet
・ Knowledge base
・ Knowledge based community sharing system
・ Knowledge Based Software Assistant
・ Knowledge Bowl
・ Knowledge broker
・ Knowledge building
・ Knowledge building communities
・ Knowledge by acquaintance
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・ Knowledge Cafe
・ Knowledge Channel
・ Knowledge Collection from Volunteer Contributors
・ Knowledge commons
・ Knowledge community
Knowledge compilation
・ Knowledge Corridor
・ Knowledge Day
・ Knowledge deficit
・ Knowledge Discovery Metamodel
・ Knowledge divide
・ Knowledge Ecology International
・ Knowledge Economic City, Medina
・ Knowledge Economic Index
・ Knowledge economy
・ Knowledge ecosystem
・ Knowledge encyclopædia
・ Knowledge engineer
・ Knowledge engineering
・ Knowledge Engineering and Machine Learning Group


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Knowledge compilation : ウィキペディア英語版
Knowledge compilation

Knowledge compilation is a family of approaches for addressing the intractability of
a number of artificial intelligence problems.
A propositional model is compiled in an off-line phase in order to support some queries in polytime. Many ways of compiling a propositional models exist.〔Adnan Darwiche, Pierre Marquis, "(A Knowledge Compilation Map )", Journal of Artificial Intelligence Research 17 (2002) 229-264〕
Among others: NNF, DNNF, d-DNNF, BDD, SDD, MDD, DNF and CNF.
Different compiled representations have different properties.
The three main properties are:
* The compactness of the representation
* The queries that are supported in polytime
* The transformations of the representations that can be performed in polytime
== References ==



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