Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3641236.3664419acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
abstract

Experimenting with Artificial Intelligence: Programming Pathfinding Algorithms in C++ with Unreal Engine 5

Published: 13 July 2024 Publication History

Abstract

No abstract available.

References

[1]
Epic Games. 2023. Unreal Engine 5.3.2. https://www.unrealengine.com
[2]
Game Engineering Group. [n. d.]. AI - Simple Pathfinding. https://research.ncl.ac.uk/game/mastersdegree/gametechnologies/aitutorials/2pathfinding/AI%20-%20Simple%20Pathfinding.pdf
[3]
Muhammad A Moniem. 2016. Mastering Unreal Engine 4. X. Packt Publishing Ltd.
[4]
Paul Roberts. 2022. Artificial intelligence in games. CRC Press.
[5]
Xinyuan Zhang and Xinyou Zhang. 2023. Based on Navmesh to implement AI intelligent pathfinding in three-dimensional maps in UE4. In Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence (, Sanya, China, ) (ACAI ’22). Association for Computing Machinery, New York, NY, USA, Article 93, 5 pages. https://doi.org/10.1145/3579654.3579752

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SIGGRAPH '24: ACM SIGGRAPH 2024 Labs
July 2024
27 pages
ISBN:9798400705182
DOI:10.1145/3641236
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 July 2024

Check for updates

Author Tags

  1. computer games
  2. education

Qualifiers

  • Abstract
  • Research
  • Refereed limited

Conference

SIGGRAPH '24
Sponsor:

Acceptance Rates

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 59
    Total Downloads
  • Downloads (Last 12 months)59
  • Downloads (Last 6 weeks)8
Reflects downloads up to 26 Sep 2024

Other Metrics

Citations

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media