Towards a Taxonomy of AI in Hybrid Board Games

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Towards a Taxonomy of AI in Hybrid Board Games

Conference Paper (2020)

Author(s)

Marcello A. Gómez-Maureira (Universiteit Leiden)

Giulio Barbero (Universiteit Leiden)

Maria Freese (TU Delft - Technology, Policy and Management)

Mike Preuss (Universiteit Leiden)

Research Group

Policy Analysis

Video games Board games Game ai Game artificial intelligence Hybrid board games Hybrid games

DOI related publication

https://doi.org/10.1145/3402942.3409607 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:443d939c-6eab-42ac-b6ab-9bbe2260c2f7

More Info

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Publication Year

2020

Language

English

Research Group

Policy Analysis

Article number

105

ISBN (electronic)

9781450388078

Event

15th International Conference on the Foundations of Digital Games, FDG 2020 (2020-09-15 - 2020-09-18), Bugibba, Malta

Downloads counter

236

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.