Augmented Computational Design

Book chapter (2024)

Authors

Pirouz Nourian University of Twente
Shervin Azadi Eindhoven University of Technology
Roy Uijtendaal Nieman Raadgevende Ingenieurs
N. Bai Heritage & Architecture - Architecture and the Built Environment
Research Group
Heritage & Architecture (Architecture and the Built Environment) (TU Delft)
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Published Date

2024

Language

English

Reuse Rights

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Faculty

Architecture and the Built Environment

Department

Architectural Engineering +Technology

Research Group

Heritage & Architecture

Abstract

This chapter presents methodological reflections on the necessity and utility of artificial intelligence (AI) in generative design. Specifically, the chapter discusses how generative design processes can be augmented by AI to deliver in terms of a few outcomes of interest or performance indicators while dealing with hundreds or thousands of small decisions. The core of the performance-based generative design paradigm is about making statistical or simulation-driven associations between these choices and their consequences for mapping and navigating such a complex decision space. This chapter will discuss promising directions in AI for augmenting decision-making processes in architectural design for mapping and navigating complex design spaces.

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