"A History of Artificially Intelligent Architecture: Case Studies from the USA, UK, Europe and Japan, 1949-1987 provides a comprehensive survey of architectural projects exhibiting intelligence since the Late First Century right up to the present day. Tracing the social, scientific and technological developments, this book analyses case studies from both conceived and executed architectural projects by Architects and Cyberneticians from the United States, United Kingdom, Europe and Japan from 1949-87. From the Late First Century through to the Seventeenth Century, the scientific endeavors of the Hero of Alexandria, Ramon Llull, Paracelsus, René Descartes, Jacques de Vaucanson, Pierre Jacquet-Droz, and Charles Babbage have been presented in which they attempted to review, analyse and conclude the notion of artificial intelligence. Coming to the Twenty-First Century and witnessing a period, particularly from 1949-87, where nothing had been constant, Architects and Cyberneticians whose architectural projects attempted to simulate intelligence include Cedric Price, Richard Saul Wurman, Nicholas Negroponte, Kenzo Tange, Arata Isozaki, Charles Eames, Ezra D. Ehrenkrantz, Richard Rogers, Renzo Piano, and Gordon Pask respectively. This book asks: How have Polymaths, Architects and Cyberneticians simulated artificial intelligence in their scientific/architectural projects? Is it possible to define intelligence purely based on the history of architecture? Or, on a more extensive level, is it possible to view artificial intelligence originating from the history of architecture instead of computational paradigm? The transdisciplinarity of the book makes it of interest to researchers and students of technologically advanced architecture's history, theory, and criticism, artificial intelligence, cybernetics, information and communications, urban and sustainable design, ergonomics, computer applications, and digital design and fabrication"--

Artificial intelligence is everywhere – from the apps on our phones to the algorithms of search engines. Without us noticing, the AI revolution has arrived. But what does this mean for the world of design? The first volume in a two-book series, Architecture in the Age of Artificial Intelligence introduces AI for designers and considers its positive potential for the future of architecture and design. Explaining what AI is and how it works, the book examines how different manifestations of AI will impact the discipline and profession of architecture. Highlighting current case-studies as well as near-future applications, it shows how AI is already being used as a powerful design tool, and how AI-driven information systems will soon transform the design of buildings and cities. Far-sighted, provocative and challenging, yet rooted in careful research and cautious speculation, this book, written by architect and theorist Neil Leach, is a must-read for all architects and designers – including students of architecture and all design professionals interested in keeping their practice at the cutting edge of technology.

Künstliche Intelligenz (KI) hat Eingang in unzählige Branchen gefunden. In der Architektur steckt der Einsatz von KI noch in den Kinderschuhen, doch die Entwicklung der letzten Jahre hat vielversprechende Ergebnisse gebracht. Das Buch ist eine gut verständliche Einführung. Sie bietet einen Überblick über die Geschichte der KI und ihre ersten Anwendungen in der Architektur. Im zweiten Teil präsentiert der Autor konkrete Beispiele für den kreativen Einsatz von KI in der Praxis. Führende Experten, von der Havard-University bis zur Bauhaus Universität, eröffnen schließlich in Essays vielfältige Perspektiven auf das Potenzial von KI. Als Einführung zeigt das Buch ein Panorama dieser neuen technologischen Möglichkeiten und verdeutlicht so das Versprechen, das sie für die Architektur darstellen.

A History of Artificially Intelligent Architecture: Case Studies from the USA, UK, Europe and Japan, 1949-1987 provides a comprehensive survey of architectural projects exhibiting intelligence since the Late First Century right up to the present day. Tracing the social, scientific and technological developments, this book analyses case studies from both conceived and executed architectural projects by Architects and Cyberneticians from the United States, United Kingdom, Europe and Japan from 1949-87. From the Late First Century through to the Seventeenth Century, the scientific endeavors of the Hero of Alexandria, Ramon Llull, Paracelsus, René Descartes, Jacques de Vaucanson, Pierre Jacquet-Droz, and Charles Babbage have been presented in which they attempted to review, analyse and conclude the notion of artificial intelligence. Coming to the Twenty-First Century and witnessing a period, particularly from 1949-87, where nothing had been constant, Architects and Cyberneticians whose architectural projects attempted to simulate intelligence include Cedric Price, Richard Saul Wurman, Nicholas Negroponte, Kenzo Tange, Arata Isozaki, Charles Eames, Ezra D. Ehrenkrantz, Richard Rogers, Renzo Piano, and Gordon Pask respectively. This book asks: How have Polymaths, Architects and Cyberneticians simulated artificial intelligence in their scientific/architectural projects? Is it possible to define intelligence purely based on the history of architecture? Or, on a more extensive level, is it possible to view artificial intelligence originating from the history of architecture instead of computational paradigm? The transdisciplinarity of the book makes it of interest to researchers and students of technologically advanced architecture’s history, theory, and criticism, artificial intelligence, cybernetics, information and communications, urban and sustainable design, ergonomics, computer applications, and digital design and fabrication.

Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference.

‘The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.’ - Phil Bernstein The profession is changing. A new era is rapidly approaching when computers will not merely be instruments for data creation, manipulation and management, but, empowered by artificial intelligence, they will become agents of design themselves. Architects need a strategy for facing the opportunities and threats of these emergent capabilities or risk being left behind. Architecture’s best-known technologist, Phil Bernstein, provides that strategy. Divided into three key sections – Process, Relationships and Results – Machine Learning lays out an approach for anticipating, understanding and managing a world in which computers often augment, but may well also supplant, knowledge workers like architects. Armed with this insight, practices can take full advantage of the new technologies to future-proof their business. Features chapters on: Professionalism Tools and technologies Laws, policy and risk Delivery, means and methods Creating, consuming and curating data Value propositions and business models.

Architects who engaged with cybernetics, artificial intelligence, and other technologies poured the foundation for digital interactivity. In Architectural Intelligence, Molly Wright Steenson explores the work of four architects in the 1960s and 1970s who incorporated elements of interactivity into their work. Christopher Alexander, Richard Saul Wurman, Cedric Price, and Nicholas Negroponte and the MIT Architecture Machine Group all incorporated technologies—including cybernetics and artificial intelligence—into their work and influenced digital design practices from the late 1980s to the present day. Alexander, long before his famous 1977 book A Pattern Language, used computation and structure to visualize design problems; Wurman popularized the notion of “information architecture”; Price designed some of the first intelligent buildings; and Negroponte experimented with the ways people experience artificial intelligence, even at architectural scale. Steenson investigates how these architects pushed the boundaries of architecture—and how their technological experiments pushed the boundaries of technology. What did computational, cybernetic, and artificial intelligence researchers have to gain by engaging with architects and architectural problems? And what was this new space that emerged within these collaborations? At times, Steenson writes, the architects in this book characterized themselves as anti-architects and their work as anti-architecture. The projects Steenson examines mostly did not result in constructed buildings, but rather in design processes and tools, computer programs, interfaces, digital environments. Alexander, Wurman, Price, and Negroponte laid the foundation for many of our contemporary interactive practices, from information architecture to interaction design, from machine learning to smart cities.