Christopher Grant Kirwan

Smart Cities and Artificial Intelligence: Convergent Systems for Planning, Design, and Operations

Smart Cities and Artificial Intelligence offers a comprehensive view of how cities are evolving as smart ecosystems through the convergence of technologies incorporating machine learning and neural network capabilities, geospatial intelligence, data analytics and visualization, sensors, and smart connected objects. These recent advances in AI move us closer to developing urban operating systems that simulate human, machine, and environmental patterns from transportation infrastructure to communication networks. Exploring cities as real-time, living, dynamic systems, and providing tools and formats including generative design and living lab models that support cities to become self-regulating, this book provides readers with a conceptual and practical knowledge base to grasp and apply the key principles required in the planning, design, and operations of smart cities.

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Cities as Convergent Autopoietic Systems

The aim of this paper is to explore the epistemological evolution of systems thinking, from cybernetics to autopoiesis and anticipatory systems in search of common characteristics, themes, and behaviors that define living, intelligent systems. Building on this theoretical foundation, we seek to establish the guiding principles behind a new bio-determinist paradigm for the future design and operations of complex urban systems (smart cities). We introduce the concept and vision of Autopoietic Operating Systems (AOS) to describe the total convergence of autopoietic properties required to manage diverse urban functions (Smart Environment, Smart Economy, Smart Mobility, Smart Governance, Smart People, and Smart Living) and the mechanisms that will enable cities to become intelligent, self-regulating ecosystems, coexisting in harmony with the natural environment.