A nonlinear-dynamical algorithm for city planning is proposed as an Impulse Pattern Formulation (IPF) for predicting relevant parameters like health, artistic freedom, or financial developments of different social or political stakeholders over the cause of a planning process. The IPF has already shown high predictive precision at low computational cost in musical instrument simulations, brain dynamics, and human-human interactions. The social and political IPF consists of three basic equations of system state developments, self-adaptation of stakeholders, two adaptive interactions, and external impact terms suitable for respective planning situations. Typical scenarios of stakeholder interactions and developments are modeled by adjusting a set of system parameters. These include stakeholder reaction to external input, enhanced system stability through self-adaptation, stakeholder convergence due to adaptive interaction, as well as complex dynamics in terms of fixed stakeholder impacts. A workflow for implementing the algorithm in real city planning scenarios is outlined. This workflow includes machine learning of a suitable set of parameters suggesting best-practice planning to aim at the desired development of the planning process and its output.

Artificial Intelligence in Urban Planning and Design: Technologies, Implementation, and Impacts is the most comprehensive resource available on the state of Artificial Intelligence (AI) as it relates to smart city planning and urban design. The book explains nascent applications of AI technologies in urban design and city planning, providing a thorough overview of AI-based solutions. It offers a framework for discussion of theoretical foundations of AI, AI applications in the urban design, AI-based research and information systems, and AI-based generative design systems. The concept of AI generates unprecedented city planning solutions without defined rules in advance, a development raising important questions issues for urban design and city planning. This book articulates current theoretical and practical methods, offering critical views on tools and techniques and suggests future directions for the meaningful use of AI technology.

While artificial intelligence is a loaded term that for some may conjure up images of a malicious Skynet system from the Terminator movie franchise, the reality is not as ominous. And when Sen. Ted Cruz, R-Texas, argued during the U.S. Congress' first AI hearing -- dubbed "The Dawn of Artificial Intelligence" -- that it is already at work in the United States, improving the efficiency and productivity of systems across the map, he was right. "Artificial intelligence is already seeping into our daily lives," said Cruz, who is chairman of the Senate subcommittee on Space, Science and Competitiveness. The hearing, which included representatives from Microsoft, Carnegie Mellon University and NASA, among others, focused on the potential implications machine learning will have on the country's labor market, national security and transportation. One of the largest areas for growth through artificial intelligence is smart city planning and smart infrastructure.

I remember walking into that place, which always sent you through a kitchen full of good things to eat and then into a study full of several fascinating objects, including oscilloscopes, as well as a giant model of a fly that was several feet long. The place had amazing couches and beds where the students listened carefully to Fresco. During our last talk, Fresco surprised me by arguing city planning had become more important to people than flying around on flying wings and driving in curvy cars. He reminded me of a term that I first heard when I attended school at his lab. The word was "cybernetics" -- the design of machines to make better machines than those produced by human hands.