AAAI Publications, Fourteenth Artificial Intelligence and Interactive Digital Entertainment Conference

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GIGL: A Domain Specific Language for Procedural Content Generation with Grammatical Representations
Tiannan Chen, Stephen J. Guy

Last modified: 2018-09-25

Abstract


We introduce a domain specific language for procedural content generation (PCG) called Grammatical Item Generation Language (GIGL). GIGL supports a compact representation of PCG with stochastic grammars where generated objects maintain grammatical structures. Advanced features in GIGL allow flexible customizations of the stochastic generation process. GIGL is designed and implemented to have direct interface with C++, in order to be capable of integration into production games. We showcase the expressiveness and flexibility of GIGL on several representative problem domains in grammatical PCG, and show that the GIGL-based implementations run as fast as comparable C++ implementation and with less code.

Keywords


Procedural Content Generation; Generative Grammar; Domain Specific Language

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