Probabilistic Satisfiability: Logic-Based Algorithms and Phase Transition

This problem involves imprecise probability judgements, widening the scope of application areas. In fact, there is a In this paper, we study algorithms for probabilistic large number of potential application areas for PSAT, from satisfiability (PSAT), an NPcomplete problem, machine learning to the modelling of biological processes, and their empiric complexity distribution. We define from hardware and software verification to economics and a PSAT normal form, based on which we propose econometrics. However, there are very few, if any, practical two logic-based algorithms: a reduction of algorithms available, used in limited applications.