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Introduces a next-generation model for city operating systems that integrates autopoiesis, collective intelligence, and City DNA to enable adaptive, self-regulating urban environments. The paper positions AI as the orchestrating layer harmonizing human, machine, and ecological systems for real-time urban governance.

Develops a theoretical framework showing how cities function as living, self-producing systems shaped by feedback, anticipation, and convergence across human, artificial, and natural intelligence. The chapter establishes autopoiesis as a foundation for designing sustainable, resilient, and self aware cities.

Presents an integrated approach to planning, designing, and operating smart cities through the convergence of AI technologies, geospatial systems, and real-time data intelligence. The book offers both conceptual foundations and practical methodologies for building adaptive, human-centered urban ecosystems.
Urban operating systems must incorporate diverse frames of reference, ranging from the macro to the individual point of view of the end users, each dimension influencing the organizational structure and behavior of the system. In the attempt to create a holistic, interdisciplinary approach to the complex task of designing urban operating systems, this paper applies the philosophical basis of phenomenology, and its schools of thought, to explore a unified theory and approach to OS design.