We propose in this article a translation from quantified Boolean formulae to answer set programming. The computation of a solution of a quantified Boolean formula is then equivalent to the computation ...

About L. Ai, et al., ‘Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models’, 2024, arXiv.

Through simulation experiments using our approaches of Reinforcement Learning and Boolean Programming, we obtain good results in finding solutions for Optimal Stopping in American Options Pricing.

About The official repository of "Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models".

Learn how to use Boolean algebra to program PLCs efficiently and effectively. Discover the rules, laws, and techniques of logic operations.