Towards a Taxonomy of AI in Hybrid Board Games

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

doi:10.1145/3402942.3409607

Towards a Taxonomy of AI in Hybrid Board Games

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	FDG '20
Subtitle of host publication	International Conference on the Foundations of Digital Games, Bugibba, Malta, September 15-18, 2020
Editors	Georgios N. Yannakakis, Antonios Liapis, Kyburz Penny, Vanessa Volz, Foaad Khosmood, Phil Lopes
Place of Publication	New York, NY
Publisher	Association for Computing Machinery
ISBN (Electronic)	978-1-4503-8807-8
DOIs	https://doi.org/10.1145/3402942.3409607
Publication status	Published - 15 Sept 2020
Externally published	Yes
Event	15th International Conference on the Foundations of Digital Games, FDG 2020 - Bugibba, Malta Duration: 15 Sept 2020 → 18 Sept 2020 Conference number: 15

Conference

Conference	15th International Conference on the Foundations of Digital Games, FDG 2020
Abbreviated title	FDG 2020
Country/Territory	Malta
City	Bugibba
Period	15/09/20 → 18/09/20

Keywords

Board games
Game AI
Game artificial intelligence
Hybrid board games
Hybrid games
Video games
n/a OA procedure

Access to Document

10.1145/3402942.3409607

Cite this

Gómez-Maureira, M. A., Barbero, G., Freese, M., & Preuss, M. (2020). Towards a Taxonomy of AI in Hybrid Board Games. In G. N. Yannakakis, A. Liapis, K. Penny, V. Volz, F. Khosmood, & P. Lopes (Eds.), FDG '20: International Conference on the Foundations of Digital Games, Bugibba, Malta, September 15-18, 2020 Article 105 Association for Computing Machinery. https://doi.org/10.1145/3402942.3409607

Gómez-Maureira, Marcello A. ; Barbero, Giulio ; Freese, Maria et al. / Towards a Taxonomy of AI in Hybrid Board Games. FDG '20: International Conference on the Foundations of Digital Games, Bugibba, Malta, September 15-18, 2020. editor / Georgios N. Yannakakis ; Antonios Liapis ; Kyburz Penny ; Vanessa Volz ; Foaad Khosmood ; Phil Lopes. New York, NY : Association for Computing Machinery, 2020.

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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.",

keywords = "Board games, Game AI, Game artificial intelligence, Hybrid board games, Hybrid games, Video games, n/a OA procedure",

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note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 15th International Conference on the Foundations of Digital Games, FDG 2020, FDG 2020 ; Conference date: 15-09-2020 Through 18-09-2020",

year = "2020",

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doi = "10.1145/3402942.3409607",

language = "English",

editor = "Yannakakis, {Georgios N.} and Antonios Liapis and Kyburz Penny and Vanessa Volz and Foaad Khosmood and Phil Lopes",

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Gómez-Maureira, MA, Barbero, G, Freese, M & Preuss, M 2020, Towards a Taxonomy of AI in Hybrid Board Games. in GN Yannakakis, A Liapis, K Penny, V Volz, F Khosmood & P Lopes (eds), FDG '20: International Conference on the Foundations of Digital Games, Bugibba, Malta, September 15-18, 2020., 105, Association for Computing Machinery, New York, NY, 15th International Conference on the Foundations of Digital Games, FDG 2020, Bugibba, Malta, 15/09/20. https://doi.org/10.1145/3402942.3409607

Towards a Taxonomy of AI in Hybrid Board Games. / Gómez-Maureira, Marcello A.; Barbero, Giulio; Freese, Maria et al.
FDG '20: International Conference on the Foundations of Digital Games, Bugibba, Malta, September 15-18, 2020. ed. / Georgios N. Yannakakis; Antonios Liapis; Kyburz Penny; Vanessa Volz; Foaad Khosmood; Phil Lopes. New York, NY: Association for Computing Machinery, 2020. 105.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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KW - Game artificial intelligence

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KW - Hybrid games

KW - Video games

KW - n/a OA procedure

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A2 - Yannakakis, Georgios N.

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Gómez-Maureira MA, Barbero G, Freese M, Preuss M. Towards a Taxonomy of AI in Hybrid Board Games. In Yannakakis GN, Liapis A, Penny K, Volz V, Khosmood F, Lopes P, editors, FDG '20: International Conference on the Foundations of Digital Games, Bugibba, Malta, September 15-18, 2020. New York, NY: Association for Computing Machinery. 2020. 105 doi: 10.1145/3402942.3409607

Towards a Taxonomy of AI in Hybrid Board Games

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