Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions

Author:

Huang Xuanxiang,Fang Kehang,Fang Liangda,Chen Qingliang,Lai Zhao-Rong,Wei Linfeng

Abstract

In this paper, we present a novel data structure for compact representation and effective manipulations of Boolean functions, called Bi-Kronecker Functional Decision Diagrams (BKFDDs). BKFDDs integrate the classical expansions (the Shannon and Davio expansions) and their bi-versions. Thus, BKFDDs are the generalizations of existing decision diagrams: BDDs, FDDs, KFDDs and BBDDs. Interestingly, under certain conditions, it is sufficient to consider the above expansions (the classical expansions and their bi-versions). By imposing reduction and ordering rules, BKFDDs are compact and canonical forms of Boolean functions. The experimental results demonstrate that BKFDDs outperform other existing decision diagrams in terms of sizes.

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Subject

General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Novel Reduction Methods for Decision Diagrams;IEEE Access;2023

2. Toward more efficient heuristic construction of Boolean functions;Applied Soft Computing;2021-08

3. Dynamic minimization of bi-kronecker functional decision diagrams;Proceedings of the 39th International Conference on Computer-Aided Design;2020-11-02

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