Modeling Agent-Based Systems Using X-Machine and Z Notation

Abstract

Developing correct and complete real-world software applications is a difficult task in terms of the number and flexibility of the essential components and their interrelationship. As the field of agent-based computing matures, the requirements of well-founded techniques and methodology for such systems modeling will increased. This paper used integration of two well known modeling techniques, X-machines and Z notation for modeling and writing the specification of agent-based systems. This modeling approach supports the behavioral modeling, data modeling and property analysis of agent-based systems. It also provides a mechanism for translating the formal model to executable code.