Work

Augmented Computational Design: Methodical Application of Artificial Intelligence in Generative Design

Year: 2023

Type: preprint

Abstract: This chapter presents methodological reflections on the necessity and utility of artificial intelligence 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 consequences for mapping and navigating such a complex decision space. This chapter will discuss promising directions in Artificial Intelligence for augmenting decision-making processes in architectural design for mapping and navigating complex design spaces.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2310.09243

Authors: Nourian, Pirouz, Azadi, Shervin, Uijtendaal, Roy, Bai, Nan

Institutions: University of Twente, Eindhoven University of Technology, Delft University of Technology

Language: English

Topic: Architecture and Computational Design

Subfield: Architecture

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4387688079

Cites:

Cited by: 2

Related to: 10