Title :
Modelling and evaluation of complex scenarios with the Strategy Game Description Language
Author :
Mahlmann, T. ; Togelius, Julian ; Yannakakis, Georgios N.
Author_Institution :
Center For Comput. Games Res., IT Univ. of Copenhagen, Copenhagen, Denmark
fDate :
Aug. 31 2011-Sept. 3 2011
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.
Keywords :
artificial intelligence; computer games; specification languages; trees (mathematics); SGDL; artificial agent; complex scenarios; game rules; strategy game description language; tree structure; Complexity theory; Computers; Games; Lead; Mathematical model; Rocks; Uncertainty;
Conference_Titel :
Computational Intelligence and Games (CIG), 2011 IEEE Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4577-0010-1
Electronic_ISBN :
978-1-4577-0009-5
DOI :
10.1109/CIG.2011.6032004