SMACS: A framework for formal verification of complex adaptive systems

Abstract Self-adaptive systems (SASs) have the capability to evaluate and change their behavior according changes occurring in environment. Research this field is being held since mid-60, over last decade, importance of self-adaptivity increased. In proposed research, colored petri nets (CPN) formal language used model self-adaptive multiagent system. CPN increasingly complex concurrent due its flexible specification verification behavior. visually more expressive than simple, Petri Nets enable diverse modeling approaches provides a richer framework for such formalism. The main goal research apply multi-agent system (SMACS) architectures. our previous SMACS verified through traffic monitoring All agents are also known as intelligent self-adaptation Due decentralized approach framework, each agent will intelligently adapt environment send updates other agents. we choosing smart computer lab (SCL) case study. For internal structure modal, μ \mu -calculus be used, then checker TAPAs: tool analysis process algebras applied verify these properties. CPN-based state space done behavioral properties model. general objective maximize utility generated some predetermined time horizon.