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.

This companion investigates the ways in which designers, architects, and planners address ecology through the built environment by integrating ecological ideas and ecological thinking into discussions of urbanism, society, culture, and design. Exploring the innovation of materials, habitats, landscapes, and infrastructures, it furthers novel ecotopian ideas and ways of living, including human-made settings on water, in outer space, and in extreme environments and climatic conditions. Chapters of this extensive collection on ecotopian design are grouped under five different ecological perspectives: design manifestos and ecological theories, anthropocentric transformative design concepts, design connectivity, climatic design, and social design. Contributors provide plausible, sustainable design ideas that promote resiliency, health, and well-being for all living things, while taking our changing lifestyles into consideration. This volume encourages creative thinking in the face of ongoing environmental damage, with a view to making design decisions in the interest of the planet and its inhabitants. With contributions from over 79 expert practitioners, educators, scientists, researchers, and theoreticians, as well as planners, architects, and engineers from the U.S., Canada, Europe, and Asia, this book engages theory, history, technology, engineering, and science, as well as the human aspects of ecotopian design thinking and its implications for the outlook of the planet.

This comprehensive companion surveys intelligent design thinking in architecture and urbanism, investigates multiple facets of "smart" approaches to design thinking that augment the potentials of user experiences as well as his/her physical and mental interactions with the built environment. Split into six paradigms, this volume looks at the theoretical and historical background of smart design, smart design methodologies and typologies, smart materials, smart design for extreme weather and climatic regions, as well as climate change issues and side effects, smart mobility, and the role of digital technologies and simulations in architectural and urban design. Often at odds with each other, this volume places emphasis on smart design for various typologies and user groups, emphasizing on advancements in form-making and implementation of technology for healthy and sustainable living environments. Written by emerging and established architects, planners, designers, scientists, and engineers from around the globe, this will be an essential reference volume for architecture and urban design students and scholars as well as those in related fields interested in the implications, various facets and futures of smart design.

Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics, and postgraduate students across AI, technology and innovation management, and a wide range of business disciplines.

The Routledge Companion to Paradigms of Performativity in Design and Architecture focuses on a non-linear, multilateral, ethical way of design thinking, positioning the design process as a journey. It expands on the multiple facets and paradigms of performative design thinking as an emerging trend in design methodology. This edited collection explores the meaning of performativity by examining its relevance in conjunction with three fundamental principles: firmness, commodity and delight. The scope and broader meaning of performativity, performative architecture and performance-based building design are discussed in terms of how they influence today’s design thinking. With contributions from 44 expert practitioners, educators and researchers, this volume engages theory, history, technology and the human aspects of performative design thinking and its implications for the future of design.

ARTIFICIAL INTELLIGENCE IN PERFORMANCE-DRIVEN DESIGN A definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of artificial intelligence (AI), specifically machine learning (ML), for performance modeling within the built environment. This work develops the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems. The book examines relevant practices, case studies, and computational tools that harness AI’s capabilities in modeling frameworks, enhancing the efficiency, accuracy, and integration of physics-based simulation, optimization, and automation processes. Furthermore, it highlights the integration of intelligent systems and digital twins throughout the lifecycle of the built environment, to enhance our understanding and management of these complex environments. This book also: Incorporates emerging technologies into practical ideas to improve performance analysis and sustainable design Presents data-driven methodologies and technologies that integrate into modeling and design platforms Shares valuable insights and tools for developing decarbonization pathways in urban buildings Includes contributions from expert researchers and educators across a range of related fields Artificial Intelligence in Performance-Driven Design is ideal for architects, engineers, planners, and researchers involved in sustainable design and the built environment. It’s also of interest to students of architecture, building science and technology, urban design and planning, environmental engineering, and computer science and engineering.