This paper presents a first step towards a computer-aided design tool for the creation of game maps. The tool, named Sentient World, allows the designer to draw a rough terrain sketch, adding extra levels of detail through stochastic and gradient search. Novelty search generates a number of dissimilar artificial neural networks that are trained to approximate a designer's sketch and provide maps of higher resolution back to the designer. As the procedurally generated maps are presented to the designer (to accept, reject, or edit) the terrain sketches are iteratively refined into complete high resolution maps which may diverge from initial designer concepts. Results obtained on a number of test maps show that novelty search is beneficial for introducing divergent content to the designer without reducing the speed of iterative map refinement. © 2013 Springer-Verlag.
CITATION STYLE
Liapis, A., Yannakakis, G. N., & Togelius, J. (2013). Sentient world: Human-based procedural cartography - An experiment in interactive sketching and iterative refining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7834 LNCS, pp. 180–191). https://doi.org/10.1007/978-3-642-36955-1_16
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