Towards a Taxonomy of AI in Hybrid Board Games

Conference paper (2020)

Authors

Marcello A. Gómez Maureira Universiteit Leiden

Giulio Barbero Universiteit Leiden

M. Freese Policy Analysis -

Mike Preuss Universiteit Leiden

Research Group

Policy Analysis () (TU Delft)

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

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

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Published Date

2020

Language

English

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Faculty

Technology, Policy and Management

Department

Multi Actor Systems

Research Group

Policy Analysis

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.

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