Implementation of Boolean minimization in an abductive framework

V. Dasigi
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Abstract

This work represents the final phase in establishing a firm relationship between the Boolean minimization problem (BMP) and the abduction problem (AP). Specifically, it demonstrates how the BMP could be solved using an algorithm based on the parsimonious covering model, which in turn models a class of APs. The implementation of the algorithm that solves the BMP in an abductive framework provides a much needed empirical validation of the theoretical properties of the algorithm, in addition to providing a different method for computing the minimized form for a Boolean function.
在派生框架中实现布尔最小化
这项工作代表了在布尔最小化问题(BMP)和溯因问题(AP)之间建立牢固关系的最后阶段。具体来说,它演示了如何使用基于简约覆盖模型的算法来求解BMP,该模型反过来对一类ap进行建模。在派生框架中解决BMP的算法的实现为算法的理论特性提供了急需的经验验证,此外还为计算布尔函数的最小化形式提供了一种不同的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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