Abstract
While current General Game Playing (GGP) systems
facilitate useful research in Artificial Intelligence (AI) for gameplaying, they are often somewhat specialised and computationally
inefficient. In this paper, we describe the “ludemic” general game
system Ludii, which has the potential to provide an efficient tool for
AI researchers as well as game designers, historians, educators and
practitioners in related fields. Ludii defines games as structures of ludemes – high-level, easily understandable game concepts – which allows for concise and human-understandable game descriptions. We formally describe Ludii and outline its main benefits: generality, extensibility, understandability and efficiency. Experimentally, Ludii outperforms one of the most efficient Game Description Language (GDL) reasoners, based on a propositional network, in all games available in the Tiltyard GGP repository. Moreover, Ludii is also competitive in terms of performance with the more recently proposed Regular Boardgames (RBG) system, and has various advantages in qualitative aspects such as generality.
facilitate useful research in Artificial Intelligence (AI) for gameplaying, they are often somewhat specialised and computationally
inefficient. In this paper, we describe the “ludemic” general game
system Ludii, which has the potential to provide an efficient tool for
AI researchers as well as game designers, historians, educators and
practitioners in related fields. Ludii defines games as structures of ludemes – high-level, easily understandable game concepts – which allows for concise and human-understandable game descriptions. We formally describe Ludii and outline its main benefits: generality, extensibility, understandability and efficiency. Experimentally, Ludii outperforms one of the most efficient Game Description Language (GDL) reasoners, based on a propositional network, in all games available in the Tiltyard GGP repository. Moreover, Ludii is also competitive in terms of performance with the more recently proposed Regular Boardgames (RBG) system, and has various advantages in qualitative aspects such as generality.
Original language | English |
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Title of host publication | ECAI 2020 : 24th European Conference on Artificial Intelligence |
Editors | Giuseppe De Giacomo, Alejandro Catala, Bistra Dilkina, Michela Milano, Senén Barro, Alberto Bugarín, Jérôme Lang |
Publisher | IOS Press |
Pages | 411-418 |
Number of pages | 8 |
Volume | 325 |
ISBN (Print) | 978-1-64368-100-9 |
DOIs | |
Publication status | Published - 2020 |
Event | 24th European Conference on Artificial Intelligence - Santiago de Compastela, Santiago de Compastela, Spain Duration: 29 Aug 2020 → 5 Sept 2020 http://www.ecai2020.eu |
Publication series
Series | Frontiers in Artificial Intelligence and Applications |
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ISSN | 0922-6389 |
Conference
Conference | 24th European Conference on Artificial Intelligence |
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Abbreviated title | ECAI 2020 |
Country/Territory | Spain |
City | Santiago de Compastela |
Period | 29/08/20 → 5/09/20 |
Internet address |
Keywords
- RULES