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Cliquewidth and Knowledge Compilation

机译:群体宽度和知识汇编

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In this paper we study the role of cliquewidth in succinct representation of Boolean functions. Our main statement is the following: Let Z be a Boolean circuit having cliquewidth k. Then there is another circuit Z~* computing the same function as Z having treewidth at most 18k+2 and which has at most 4|Z| gates where |Z| is the number of gates of Z. In this sense, cliquewidth is not more 'powerful' than treewidth for the purpose of representation of Boolean functions. We believe this is quite a surprising fact because it contrasts the situation with graphs where an upper bound on the treewidth implies an upper bound on the cliquewidth but not vice versa. We demonstrate the usefulness of the new theorem for knowledge compilation. In particular, we show that a circuit Z of cliquewidth k can be compiled into a Decomposable Negation Normal Form (dnnf) of size O(9~(18k)k~2|Z|) and the same runtime. To the best of our knowledge, this is the first result on efficient knowledge compilation parameterized by cliquewidth of a Boolean circuit.
机译:在本文中,我们研究了cliquewidth在布尔函数的简洁表示中的作用。我们的主要陈述如下:令Z为具有集团宽度k的布尔电路。然后还有另一个电路Z〜*计算与Z相同的功能,Z的树宽最多18k + 2,最多4 | Z |。 | Z |的门是Z的门数。从这个意义上讲,出于表示布尔函数的目的,cliquewidth并不比treewidth更“强大”。我们认为这是一个非常令人惊讶的事实,因为它与图的情况形成了对比,在图上树宽的上限暗示了集团宽度的上限,反之亦然。我们证明了新定理对知识汇编的有用性。特别地,我们表明,可以将群宽为k的电路Z编译为大小为O(9〜(18k)k〜2 | Z |)的可分解求反范式(dnnf),并且运行时间相同。据我们所知,这是通过布尔电路的集团宽度参数化的有效知识汇编的第一个结果。

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