51. Ludii as a Competition Platform
- Author
-
Éric Piette, Dennis J. N. J. Soemers, Cameron Browne, Matthew Stephenson, RS: FSE DACS, DKE Scientific staff, and Piette, Eric
- Subjects
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI] ,FOS: Computer and information sciences ,Ludii ,Computer science ,Computer Science - Artificial Intelligence ,General game ,02 engineering and technology ,POKER ,[INFO] Computer Science [cs] ,Ludemes ,computer.software_genre ,General game playing ,Competition (economics) ,03 medical and health sciences ,ARCADE LEARNING-ENVIRONMENT ,Artificial Intelligence ,0202 electrical engineering, electronic engineering, information engineering ,030304 developmental biology ,0303 health sciences ,Board games ,Competitions ,Data science ,Artificial Intelligence (cs.AI) ,AI ,General Game Playing ,020201 artificial intelligence & image processing ,computer ,Strengths and weaknesses - Abstract
Ludii is a general game system being developed as part of the ERC-funded Digital Ludeme Project (DLP). While its primary aim is to model, play, and analyse the full range of traditional strategy games, Ludii also has the potential to support a wide range of AI research topics and competitions. This paper describes some of the future competitions and challenges that we intend to run using the Ludii system, highlighting some of its most important aspects that can potentially lead to many algorithm improvements and new avenues of research. We compare and contrast our proposed competition motivations, goals and frameworks against those of existing general game playing competitions, addressing the strengths and weaknesses of each platform., Accepted at the IEEE Conference on Games (CoG) 2019
- Published
- 2019