Work

Pursuing an AI Ontology for Landscape Architecture

Year: 2021

Type: article

Abstract: 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.

Source: Virtual Community of Pathological Anatomy (University of Castilla La Mancha)

DOI: 10.14627/537705040

Authors: Fernberg, Phillip, Sturla, Paola, Chamberlain, Brent

Institutions: Utah State University, Politecnico di Milano

Language: English

Topic: Urban Planning and Landscape Design

Subfield: Management, Monitoring, Policy and Law

Field: Environmental Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6961591041

FWCI: 0.25

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Cited by: 1

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