Modelling and evaluation of complex scenarios with the Strategy Game Description Language

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Mahlmann:2011:CIG,

• author = "Tobias Mahlmann and Julian Togelius and Georgios N. Yannakakis",
• title = "Modelling and evaluation of complex scenarios with the Strategy Game Description Language",
• booktitle = "Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games",
• year = "2011",
• pages = "174--181",
• address = "Seoul, South Korea",
• month = "31 " # aug # " - 3 " # sep,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://cilab.sejong.ac.kr/cig2011/proceedings/CIG2011/papers/paper45.pdf",
• size = "8 pages",
• abstract = "The Strategy Game Description Game Language (SGDL) is intended to become a complete description of all aspects of strategy games, including rules, parameters, scenarios, maps, and unit types. Our aim is to be able to model a wide variety of strategy games, simple ones as well as complex commercially available titles. In our previous work [1] we introduced the basic concepts of modelling game rules in a tree structure and evaluating them through simulated playthrough. In this paper we present some additions to the language and discuss and compare three methods to evaluate the quality of a set of game rules in two different scenarios. We find that the proposed evaluation measures are complementary, and depend on the artificial agent used.",

}

Genetic Programming entries for Tobias Mahlmann Julian Togelius Georgios N Yannakakis

Citations