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Inferring Design Constraints From Game Ruleset Analysis
2018 IEEE Conference on Computational Intelligence and Games (CIG)
Designing game rulesets is an important part of automated game design, and often serves as a foundation for all other parts of the game, from levels to visuals. Popular ways of understanding game rulesets include using AI agents to play the game, which can be unreliable and computationally expensive, or restricting the design space to a set of known good game concepts, which can limit innovation and creativity. In this paper we detail how ANGELINA, an automated game designer, uses an abductivedoi:10.1109/cig.2018.8490412 dblp:conf/cig/CookCR18 fatcat:2vqkzrzs4jennfj3rtpf5sflre