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Towards a Generic Method of Evaluating Game Levels Antonios Liapis1 , Georgios N. Yannakakis1,2 , Julian Togelius1 1: Center for Computer Games Research, IT University of Copenhagen, Copenhagen, Denmark 2: Institute of D
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Document Date: 2013-10-12 10:14:22

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Company

Super Mario Bros / Nintendo / /

Country

Denmark / /

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Event

Natural Disaster / /

Facility

Team Fortress / IT University of Copenhagen / Institute of Digital Games / University of Malta / /

IndustryTerm

search-based game level generation / search-based processes / genetic algorithm / optimization algorithm / genetic algorithms / procedural content generation algorithms / evolutionary algorithm / flood fill algorithm / game design tools / search-based variety / Search-based procedural content generation / constrained genetic algorithm / /

Organization

Congress / AI / United Nations / University of Malta / Center for Computer Games Research / Italian Association / Artificial Copyright Intelligence / Institute of Digital Games / Association for the Advancement / Computational Intelligence / University of Copenhagen / Copenhagen / /

Person

Rogue / Ai / /

Position

designer / player / human designer / artificial designer / /

Technology

artificial intelligence / evolutionary algorithm / constrained genetic algorithm / Feasible-Infeasible two-population Genetic Algorithm / genetic algorithm / genotype / FeasibleInfeasible two-population Genetic Algorithm / flood fill algorithm / Recombination / 3g / optimization algorithm / procedural content generation algorithms / generated using a constrained genetic algorithm / /

URL

www.aaai.org / /

SocialTag