Modelling and evaluation of complex scenarios with the Strategy Game Description Language
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- @InProceedings{Mahlmann:2011:CIG,
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author = "Tobias Mahlmann and Julian Togelius and
Georgios N. Yannakakis",
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title = "Modelling and evaluation of complex scenarios with the
Strategy Game Description Language",
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booktitle = "Proceedings of the 2011 IEEE Conference on
Computational Intelligence and Games",
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year = "2011",
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pages = "174--181",
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address = "Seoul, South Korea",
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month = "31 " # aug # " - 3 " # sep,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://cilab.sejong.ac.kr/cig2011/proceedings/CIG2011/papers/paper45.pdf",
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size = "8 pages",
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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