Compositional Intelligence: Architectural Typology Through Generative AI

Author:   Daniel Koehler
Publisher:   Taylor & Francis Ltd
ISBN:  

9781041030560


Pages:   242
Publication Date:   12 September 2025
Format:   Hardback
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Compositional Intelligence: Architectural Typology Through Generative AI


Overview

*With a foreword by Mario Carpo* Given the extensive data sources represented by urban environments, this book investigates the potential of architecting for cities using large-scale models – the technological underpinning of Generative AI. Koehler examines Large Language Models (LLMs) in relation to architectural questions of typology – those critical junctures where architecture engages with the city itself. Typology becomes the interface between an AI model and its modeled audiences, represented languages, and scales of operation. The investigation reveals how LLMs represent a fundamental shift from comprehending discrete elements to understanding entire languages – introducing a stochastic perspective that transforms how we read and shape urban reality. At the heart of this framework lies the concept of “inductive types” – threshold interfaces that superpose multiple value regimes and actively reconfigure themselves in response to changing urban conditions. By treating architecture as a form of representational materialism rather than a fixed language, designers can engage with complex urban systems while maintaining critical agency. This approach envisions architecture as an embedding of languages, where buildings become processors of information that compute through their spatial arrangements. The synthetic knowledge produced by LLMs enables access to plural values and stakeholder perspectives, allowing architects to participate in broader material ecologies through computational superposition rather than traditional dialectical methods. Providing a robust theoretical framework as well as practical insights into how architects can adapt their notational tools and design processes to embrace AI, this will be an essential read for any practicing or researching architect or urban designer interested in the implications of AI on the built environment.

Full Product Details

Author:   Daniel Koehler
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.634kg
ISBN:  

9781041030560


ISBN 10:   1041030568
Pages:   242
Publication Date:   12 September 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Author Information

Daniel Koehler is an urbanist, architect, and Assistant Professor of Architecture Computation at UT Austin. His research, previously conducted at the Bartlett in London and Innsbruck University, led to his first book The Mereological City (Transcript/Columbia Press), examining part-relationships in modernist urbanism. Koehler’s work has been exhibited internationally and is included in the Centre Pompidou’s permanent collection. He serves on the ACADIA board of directors and the IJAC editorial board. At the intersection of architecture and computation, his research navigates the paradoxes and potentials of AI and digitalization, developing typological interventions that reveal environmental, economic, and societal synergies.

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