AI, design and planning processes

Michael Batty

Chapter 2 in Handbook on Big Data, Artificial Intelligence and Cities, 2025, pp 5-14 from Edward Elgar Publishing

Abstract: This chapter sketches the brief history of artificial intelligence (AI), emphasising the fact that it has always been assumed to have potential as a basis for planning, design and problem-solving in city planning. The history of AI has become more and more ‘black-box’-like as the focus on deep learning has become ever greater and as models – digital twins – have emerged that provide richer and richer methods and tools. To give some perspective to this history, we briefly examine network models that focus on learning and illustrate how these enable us to explore patterns in the data or help in generating patterns that imply some optimality in developing more sustainable and equitable cities. We make the point that simulating cities and simulating planning throws up the fact that AI has two very different uses in city planning, and a major quest is to explore how they may be integrated.

Keywords: Defining AI; Strong and weak AI; Digital twins; ChatGPT; Machine learning; Network processes (search for similar items in EconPapers)
Date: 2025
ISBN: 9781803928043
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781803928050.00008 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:21797_2

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Jack Sweeney ().