Building Simulations with Generative Artificial Intelligence

Jon McCormack; Mick Grierson

doi:10.1007/978-3-031-56114-6_11

Building Simulations with Generative Artificial Intelligence

Jon McCormack, Mick Grierson

Department of Human Centred Computing

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review

Abstract

n this chapter, we explore the possibilities of generative artificial intelligence (AI) technologies for building realistic simulations of real-world scenarios, such as preparedness for extreme climate events. Our focus is on immersive simulation and narrative rather than scientific simulation for modelling and prediction. Such simulations allow us to experience the impact and effect of dangerous scenarios in relative safety, allowing for planning and preparedness in critical situations before they occur. We examine the current state of the art in generative AI models and look at what future advancements will be necessary to develop realistic simulations.

Original language	English
Title of host publication	Climate Disaster Preparedness
Subtitle of host publication	Reimagining Extreme Events through Art and Technology
Editors	Dennis Del Favero, Susanne Thurow, Michael J. Ostwald, Ursula Frohne
Place of Publication	Cham Switzerland
Publisher	Springer
Chapter	11
Pages	137-150
Number of pages	13
ISBN (Electronic)	9783031561146
ISBN (Print)	9783031561139
DOIs	https://doi.org/10.1007/978-3-031-56114-6_11
Publication status	Published - 2024

Keywords

Augmented reality
Diffusion models
Generative artificial intelligence
Immersion
Machine learning
Simulation
Virtual reality
Visualisation

Access to Document

10.1007/978-3-031-56114-6_11Licence: CC BY

607961962-oaFinal published version, 698 KBLicence: CC BY

Cite this

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abstract = "n this chapter, we explore the possibilities of generative artificial intelligence (AI) technologies for building realistic simulations of real-world scenarios, such as preparedness for extreme climate events. Our focus is on immersive simulation and narrative rather than scientific simulation for modelling and prediction. Such simulations allow us to experience the impact and effect of dangerous scenarios in relative safety, allowing for planning and preparedness in critical situations before they occur. We examine the current state of the art in generative AI models and look at what future advancements will be necessary to develop realistic simulations.",

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Building Simulations with Generative Artificial Intelligence. / McCormack, Jon; Grierson, Mick.
Climate Disaster Preparedness: Reimagining Extreme Events through Art and Technology. ed. / Dennis Del Favero; Susanne Thurow; Michael J. Ostwald; Ursula Frohne. Cham Switzerland: Springer, 2024. p. 137-150.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review

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AB - n this chapter, we explore the possibilities of generative artificial intelligence (AI) technologies for building realistic simulations of real-world scenarios, such as preparedness for extreme climate events. Our focus is on immersive simulation and narrative rather than scientific simulation for modelling and prediction. Such simulations allow us to experience the impact and effect of dangerous scenarios in relative safety, allowing for planning and preparedness in critical situations before they occur. We examine the current state of the art in generative AI models and look at what future advancements will be necessary to develop realistic simulations.

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KW - Diffusion models

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KW - Immersion

KW - Machine learning

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KW - Virtual reality

KW - Visualisation

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