首页> 外文会议>European Conference on Artificial Intelligence >Top-Down Algorithms for Constructing Structured DNNF: Theoretical and Practical Implications
【24h】

Top-Down Algorithms for Constructing Structured DNNF: Theoretical and Practical Implications

机译:用于构建结构化DNNF的自上而下的算法:理论和实践意义

获取原文

摘要

We introduce a top-down compilation algorithm for constructing structured DNNF for any Boolean function. With appropriate restrictions, the algorithm can produce various subsets of DNNF such as deterministic DNNF and OBDD. We derive a size upper bound for structured DNNF based on this algorithm and use the result to generalize similar upper bounds known for several Boolean functions in the case of OBDD. We then discuss two realizations of the algorithm that work on CNF formulas. We show that these algorithms have time and space complexities that are exponential in the treewidth and the dual treewidth of the input.
机译:我们介绍了一种自上而下的编译算法,用于构造任何布尔函数的结构化DNNF。通过适当的限制,该算法可以产生DNNF的各个子集,例如确定性DNNF和OBDD。基于该算法,我们从结构化DNNF获得了大小的上限,并使用结果概括了在OBDD的情况下为多个布尔函数已知的类似上限。然后,我们讨论了两个在CNF公式上工作的算法的实现。我们表明这些算法有时间和空间复杂性在树宽和输入的双树宽中是指数的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号