Journal of Digital Landscape Architecture

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Pursuing an AI Ontology for Landscape Architecture

Technological advancements have become ubiquitous within landscape architecture. One of the latest advancements is in Artificial Intelligence, including techniques such as Machine Learning, Artificial Neural Networks and problem optimization. These advancements have already worked their way into landscape architecture. In this theoretical paper we briefly identify what the state of the art in AI is, as well as its potential and limitations in the discipline. Specifically, we argue for the need to create a disciplinary ontology to make knowledge explicit and shared amongst humans and machines.

Autor / Author: Fernberg, Phillip; Sturla, Paola; Chamberlain, Brent
Institution / Institution: Utah State University/USA; Politecnico di Milano/Italy; Utah State University/USA
Seitenzahl / Pages: 9
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA − Journal of Digital Landscape Architecture, 6-2021
Tagung / Conference: Digital Landscape Architecture 2021 – Resilient Landscape Architecture and Global Change
Veranstaltungsort, -datum / Venue, Date: Anhalt University, Dessau, Köthen and Bernburg, Germany 26-05-21 - 28-05-21
Schlüsselwörter (de):
Keywords (en): Artificial intelligence, computational design, landscape architecture practice
Paper review type: Full Paper Review
DOI: doi:10.14627/537705040
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