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

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@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