TOWARDS OPTIMIZING ENTERTAINMENT IN COMPUTER GAMES
Applied Artificial Intelligence
Evolving content in the galactic arms race video game
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
Bandit based monte-carlo planning
ECML'06 Proceedings of the 17th European conference on Machine Learning
Search-based procedural content generation
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
EvoApplications'12 Proceedings of the 2012t European conference on Applications of Evolutionary Computation
In Search of Patterns: Disrupting RPG Classes through Procedural Content Generation
Proceedings of the The third workshop on Procedural Content Generation in Games
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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. One of the main envisioned uses of SGDL, in combination with an evolutionary algorithm and appropriate fitness functions, is to allow the generation of complete new strategy games or variations of old ones. This paper presents a first version of SGDL, capable of describing unit types and their properties, together with plans for how it will be extended to other sub-domains of strategy games. As a proof of the viability of the idea and implementation, an experiment is presented where unit types are evolved so as to generate complementary properties. A fitness function based on Monte Carlo simulation of gameplay is devised to test complementarity.