Towards the automatic generation of card games through Grammar-Guided Genetic Programming

Font Fernández, José María and Manrique Gamo, Daniel and Mahlmann, Tobias and Togelius, Julian (2013). Towards the automatic generation of card games through Grammar-Guided Genetic Programming. In: "8th International Conference on the Foundations of Digital Games", 14-17 May 2013, Chania, creta, Grecia. pp. 360-363.

Description

Title: Towards the automatic generation of card games through Grammar-Guided Genetic Programming
Author/s:
  • Font Fernández, José María
  • Manrique Gamo, Daniel
  • Mahlmann, Tobias
  • Togelius, Julian
Item Type: Presentation at Congress or Conference (Article)
Event Title: 8th International Conference on the Foundations of Digital Games
Event Dates: 14-17 May 2013
Event Location: Chania, creta, Grecia
Date: 2013
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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

More information

Item ID: 26730
DC Identifier: http://oa.upm.es/26730/
OAI Identifier: oai:oa.upm.es:26730
Official URL: http://www.fdg2013.org/program/papers.html
Deposited by: Memoria Investigacion
Deposited on: 10 Jun 2014 12:12
Last Modified: 22 Sep 2014 11:42
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