| 词条 | Knowledge compilation |
| 释义 |
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.[1] Among others: NNF, DNNF, d-DNNF, BDD, SDD, MDD, DNF and CNF. Different compiled representations have different properties. The three main properties are:
References1. ^Adnan Darwiche, Pierre Marquis, "A Knowledge Compilation Map", Journal of Artificial Intelligence Research 17 (2002) 229-264 {{DEFAULTSORT:Knowledge Compilation}}{{Compu-AI-stub}} 1 : Artificial intelligence |
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