VGC AI Competition - A New Model of Meta-Game Balance AI Competition

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2021

Autores

Reis, S (Autor) Outra; reis, lp (Autor) FEUP; lau, n (Autor) Outra

Ata de Conferência Internacional

Título: 2021 IEEE Conference on Games (CoG), Copenhagen, Denmark, August 17-20, 2021

Páginas: 31-38

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00W-0NY

DOI: 10.1109/cog52621.2021.9618985

Abstract (EN): This work presents a framework for a new type of meta-game balance AI Competition based on Pokemon. Pokemon battles can be viewed as adversarial games played by AIs. Around these games, there is also a meta-game: which Pokemon to include in a team for battles, which moves to pick for every Pokemon in the team, etc. This meta-game is itself a game with a set of rules that govern which Pokemon and which moves are available in the roster that can be selected from, or which attributes (health points, damage, etc.) a Pokemon or moves should have. The aim of the framework is to facilitate competitions in creating the most balanced meta-game possible; one where there is a large variety of Pokemon and moves to choose from, and many possible combinations that are effective. AI agents could assist human designers in achieving strategically expressive meta-games, and this type of benchmark could incentivize game designers and researchers alike to advance knowledge on this type of domain.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8