Hernandez, Daniel, Gbadamosi, Charles, Goodman, James et al. (1 more author) (2020) Metagame Autobalancing for Competitive Multiplayer Games. In: Proceedings of the IEEE Conference on Games 2020. IEEE .
Abstract
Automated game balancing has often focused on single-agent scenarios. In this paper we present a tool for balancing multi-player games during game design. Our approach requires a designer to construct an intuitive graphical representation of their meta-game target, representing the relative scores that high-level strategies (or decks, or character types) should experience. This permits more sophisticated balance targets to be defined beyond a simple requirement of equal win chances. We then find a parameterization of the game that meets this target using simulation-based optimization to minimize the distance to the target graph. We show the capabilities of this tool on examples inheriting from Rock-Paper-Scissors, and on a more complex asymmetric fighting game.
Metadata
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Copyright, Publisher and Additional Information: | © 2020 Crown. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. | ||||||
Dates: |
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Institution: | The University of York | ||||||
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) | ||||||
Funding Information: |
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Depositing User: | Pure (York) | ||||||
Date Deposited: | 19 Jun 2020 10:10 | ||||||
Last Modified: | 31 Jan 2024 01:33 | ||||||
Status: | Published online | ||||||
Publisher: | IEEE | ||||||
Refereed: | No |
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