Towards a Taxonomy of AI in Hybrid Board Games

Marcello A. Gómez-Maureira, Giulio Barbero, Maria Freese, Mike Preuss

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

With hybrid board games rising in popularity and game AI algorithms becoming more sophisticated, there is potential in involving AI to create novel game experiences and tools that can support developers. However, examples of hybrid board games that involve AI remain relatively sparse. In this work, we propose that creating a taxonomy of AI in hybrid board games can help the development of games that occupy as-of-yet unexplored areas of the design space. By mapping out different dimensions through which the involvement of AI in such games can be understood, we seek to encourage further academic discussions and applied explorations.

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on the Foundations of Digital Games, FDG 2020
EditorsGeorgios N. Yannakakis, Antonios Liapis, Kyburz Penny, Vanessa Volz, Foaad Khosmood, Phil Lopes
PublisherAssociation for Computing Machinery (ACM)
Number of pages6
ISBN (Electronic)9781450388078
DOIs
Publication statusPublished - 2020
Event15th International Conference on the Foundations of Digital Games, FDG 2020 - Bugibba, Malta
Duration: 15 Sep 202018 Sep 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference15th International Conference on the Foundations of Digital Games, FDG 2020
CountryMalta
CityBugibba
Period15/09/2018/09/20

Keywords

  • board games
  • game ai
  • game artificial intelligence
  • hybrid board games
  • hybrid games
  • video games

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