An Empirical Evaluation of Two General Game Systems: Ludii and RBG

Eric Piette; Matthew Stephenson; Dennis 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 Soemers, Cameron Browne

^*Corresponding author for this work

Advanced Computing Sciences

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

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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 Board games 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	2019 IEEE CONFERENCE ON GAMES (COG)
Subtitle of host publication	(COG'19)
Publisher	IEEE
Pages	626-629
Number of pages	4
ISBN (Print)	9781728118840
DOIs	https://doi.org/10.1109/CIG.2019.8847994
Publication status	Published - 23 Aug 2019
Event	IEEE Conference on Games (IEEE COG) - London, United Kingdom Duration: 20 Aug 2019 → 23 Aug 2019 https://ieee-cog.org/2019/

Publication series

Series	IEEE Conference on Computational Intelligence and Games
ISSN	2325-4270

Conference

Conference	IEEE Conference on Games (IEEE COG)
Country/Territory	United Kingdom
City	London
Period	20/08/19 → 23/08/19
Internet address	https://ieee-cog.org/2019/

Keywords

General Game Playing
knowledge representation
General Game AI

Access to Document

10.1109/CIG.2019.8847994

Full TextFinal published version, 127 KBLicence: Taverne
cog19-5

Cite this

@inproceedings{3a461b516c1e421d91251f86487b7352,

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 Board games 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 Playing, knowledge representation, General Game AI",

author = "Eric Piette and Matthew Stephenson and Dennis Soemers and Cameron Browne",

note = "Funding Information: This research is part of the European Research Council-funded Digital Ludeme Project (ERC Consolidator Grant #771292) run by Cameron Browne at Maastricht University{\textquoteright}s Department of Data Science and Knowledge Engineering. Funding Information: This research is part of the European Research Councilfunded Digital Ludeme Project (ERC Consolidator Grant #771292) run by Cameron Browne at Maastricht University's Department of Data Science and Knowledge Engineering. Publisher Copyright: {\textcopyright} 2019 IEEE.; IEEE Conference on Games (IEEE COG) ; Conference date: 20-08-2019 Through 23-08-2019",

year = "2019",

month = aug,

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doi = "10.1109/CIG.2019.8847994",

language = "English",

isbn = "9781728118840",

series = "IEEE Conference on Computational Intelligence and Games",

publisher = "IEEE",

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booktitle = "2019 IEEE CONFERENCE ON GAMES (COG)",

address = "United States",

url = "https://ieee-cog.org/2019/",

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An Empirical Evaluation of Two General Game Systems: Ludii and RBG. / Piette, Eric ; Stephenson, Matthew ; Soemers, Dennis et al.
2019 IEEE CONFERENCE ON GAMES (COG): (COG'19). IEEE, 2019. p. 626-629 (IEEE Conference on Computational Intelligence and Games).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › 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 Board games 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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