Verification of Command and Control Models

Abstract

Command and control models, often represented as rules or fuzzy rules, are key components in most military simulations. Although there exist some verification techniques for rule bases, they are not enough to assure the correctness of command and control models. Based on an analysis of the characteristics of command and control models, this paper presents a fuzzy causality diagram-based verification method for command and control models. Firstly, a formal description method is developed to describe command and control models. Secondly, formally described command and control models are mapped to fuzzy causality diagram. Thirdly, formal verification criteria for command and control models are developed in order to validly and formally verify them, based on which verification is grouped into two classes: weak verification and strong verification. Finally, algorithms for weak and strong verification are developed, thus implementing formal verification of command and control models.