An empirical evaluation of two general game systems: Ludii and RBG

Eric Piette; Matthew Stephenson; Dennis J.N.J. Soemers; Cameron Browne

doi:10.1109/CIG.2019.8847994

An empirical evaluation of two general game systems: Ludii and RBG

Eric Piette, Matthew Stephenson, Dennis J.N.J. Soemers, Cameron Browne

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

3 Citations (Scopus)

Abstract

Although General Game Playing (GGP) systems can facilitate useful research in Artificial Intelligence (AI) for game-playing, they are often computationally inefficient and somewhat specialised to a specific class of games. However, since the start of this year, two General Game Systems have emerged that provide efficient alternatives to the academic state of the art - the Game Description Language (GDL). In order of publication, these are the Regular Boardgames language (RBG), and the Ludii system. This paper offers an experimental evaluation of Ludii. Here, we focus mainly on a comparison between the two new systems in terms of two key properties for any GGP system: simplicity/clarity (e.g. human-readability), and efficiency.

Original language	English
Title of host publication	IEEE Conference on Games 2019, CoG 2019
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	4
ISBN (Electronic)	9781728118840
ISBN (Print)	9781728118857
DOIs	https://doi.org/10.1109/CIG.2019.8847994
Publication status	Published - Aug 2019
Externally published	Yes
Event	2019 IEEE Conference on Games, CoG 2019 - London, United Kingdom Duration: 20 Aug 2019 → 23 Aug 2019

Publication series

Name	IEEE Conference on Computatonal Intelligence and Games, CIG
Volume	2019-August
ISSN (Print)	2325-4270
ISSN (Electronic)	2325-4289

Conference

Conference	2019 IEEE Conference on Games, CoG 2019
Country/Territory	United Kingdom
City	London
Period	20/08/19 → 23/08/19

Keywords

General Game AI.
General Game Playing
Knowledge representation
Computer games
game theory
Monte Carlo methods
cognition
Java

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10.1109/CIG.2019.8847994Licence: In Copyright

Cite this

Piette, E., Stephenson, M., Soemers, D. J. N. J., & Browne, C. (2019). An empirical evaluation of two general game systems: Ludii and RBG. In IEEE Conference on Games 2019, CoG 2019 Article 8847994 (IEEE Conference on Computatonal Intelligence and Games, CIG; Vol. 2019-August). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CIG.2019.8847994

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title = "An empirical evaluation of two general game systems: Ludii and RBG",

abstract = "Although General Game Playing (GGP) systems can facilitate useful research in Artificial Intelligence (AI) for game-playing, they are often computationally inefficient and somewhat specialised to a specific class of games. However, since the start of this year, two General Game Systems have emerged that provide efficient alternatives to the academic state of the art - the Game Description Language (GDL). In order of publication, these are the Regular Boardgames language (RBG), and the Ludii system. This paper offers an experimental evaluation of Ludii. Here, we focus mainly on a comparison between the two new systems in terms of two key properties for any GGP system: simplicity/clarity (e.g. human-readability), and efficiency.",

keywords = "General Game AI., General Game Playing, Knowledge representation, Computer games, game theory, Monte Carlo methods, cognition, Java",

author = "Eric Piette and Matthew Stephenson and Soemers, {Dennis J.N.J.} and Cameron Browne",

year = "2019",

month = aug,

doi = "10.1109/CIG.2019.8847994",

language = "English",

isbn = "9781728118857",

series = "IEEE Conference on Computatonal Intelligence and Games, CIG",

publisher = "Institute of Electrical and Electronics Engineers",

booktitle = "IEEE Conference on Games 2019, CoG 2019",

address = "United States",

note = "2019 IEEE Conference on Games, CoG 2019 ; Conference date: 20-08-2019 Through 23-08-2019",

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Piette, E, Stephenson, M, Soemers, DJNJ & Browne, C 2019, An empirical evaluation of two general game systems: Ludii and RBG. in IEEE Conference on Games 2019, CoG 2019., 8847994, IEEE Conference on Computatonal Intelligence and Games, CIG, vol. 2019-August, Institute of Electrical and Electronics Engineers, 2019 IEEE Conference on Games, CoG 2019, London, United Kingdom, 20/08/19. https://doi.org/10.1109/CIG.2019.8847994

An empirical evaluation of two general game systems: Ludii and RBG. / Piette, Eric; Stephenson, Matthew; Soemers, Dennis J.N.J. et al.
IEEE Conference on Games 2019, CoG 2019. Institute of Electrical and Electronics Engineers, 2019. 8847994 (IEEE Conference on Computatonal Intelligence and Games, CIG; Vol. 2019-August).

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

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AB - Although General Game Playing (GGP) systems can facilitate useful research in Artificial Intelligence (AI) for game-playing, they are often computationally inefficient and somewhat specialised to a specific class of games. However, since the start of this year, two General Game Systems have emerged that provide efficient alternatives to the academic state of the art - the Game Description Language (GDL). In order of publication, these are the Regular Boardgames language (RBG), and the Ludii system. This paper offers an experimental evaluation of Ludii. Here, we focus mainly on a comparison between the two new systems in terms of two key properties for any GGP system: simplicity/clarity (e.g. human-readability), and efficiency.

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KW - Knowledge representation

KW - Computer games

KW - game theory

KW - Monte Carlo methods

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An empirical evaluation of two general game systems: Ludii and RBG

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