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Propositional DAGs: a New Graph-Based Language for Representing Boolean Functions

机译:命题DAG:一种代表布尔函数的新图形语言

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This paper continues the line of research on knowledge compilation in the context of Negation Normal Forms (NNF) and Binary Decision Diagrams (BDD). The idea is to analyze different target languages according to their succinctness and the classes of queries and transformations supported in polytime. We identify a new property called simple-negation, which is an implicit restriction of all NNFs and BDDs. The removal of this restriction leads to Propositional Directed Acyclic Graphs (PDAG), a more general family of graph-based languages for representing Boolean functions or propositional theories. With respect to certain NNF-based languages, we will show that corresponding PDAG-based languages are at least as succinct and support the same transformations. The most interesting language even supports the same queries and an additional transformation, making it more flexible.
机译:本文在否定正常形式(NNF)和二进制决策图(BDD)的背景下继续研究知识汇编的研究。该想法是根据其简洁度和多次值支持的查询和转换类分析不同的目标语言。我们确定一个名为简单否定的新属性,这是对所有NNFS和BDD的隐含限制。删除该限制导致命题定向的非循环图(PDAG),一种用于代表布尔函数或命题理论的基于图形语言的一般族。关于某些基于NNF语言的语言,我们将显示相应的基于PDAG的语言至少与简洁一样并支持相同的转换。最有趣的语言甚至支持相同的查询和额外的转换,使其更灵活。

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