Abstract: The emergence of decentralized autonomous organizations and operations (DAOs), equipped with innovative mechanisms, enables new possibilities for transforming traditional social collaborative relationships. Mechanisms are the underlying driver for DAOs. However, as a complex system encompassing both social complexity and engineering complexity, DAO mechanisms need to dynamically adapt to the changing external environment. Traditional top-down approaches cannot effectively deal with these problems. The circular causality theory views the operation of complex systems as a continuously evolving dynamic process, providing new perspectives to address these challenges. This paper proposes an engineering methodology grounded in the principles of parallel intelligence and circular causality theory to develop and specialize DAO mechanisms. Computer-aided dynamic design for complex adaptive systems (cad2CAS) is employed to streamline the design of DAO mechanisms and the complex adaptive system for computer-aided dynamic design (casCAD2) is used to verify and guide these mechanisms, thus establishing a causality loop. By proposing this methodology, we aim to enhance the efficiency, security, and adaptability of DAO governance systems, laying the foundation for more robust and resilient decentralized organizations.

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