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Memorias de investigación
Communications at congresses:
Towards the Automatic Generation of Card Games through Grammar-Guided Genetic Programming
Year:2013
Research Areas
  • Information technology and adata processing
Information
Abstract
We demonstrate generating complete and playable card games using evolutionary algorithms. Card games are represented in a previously devised card game description language, a context-free grammar. The syntax of this language allows us to use grammar-guided genetic programming. Candidate card games are evaluated through a cascading evaluation function, a multi-step process where games with undesired properties are progressively weeded out. Three representa- tive examples of generated games are analysed. We observed that these games are reasonably balanced and have skill ele- ments, they are not yet entertaining for human players. The particular shortcomings of the examples are discussed in re- gard to the generative process to be able to generate quality games
International
No
Congress
Foundations of Digital Games
960
Place
Reviewers
Si
ISBN/ISSN
978-0-9913982-0-1
Start Date
14/05/2013
End Date
17/05/2013
From page
360
To page
363
Proceedings of the 8th International Conference on the Foundations of Digital Games
Participants
  • Autor: Daniel Manrique Gamo (UPM)
  • Autor: José María Font Fernández (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
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