Evaluating chess-like games using generated natural language descriptions

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Abstract

We continue our study of chess-like games defined as the class of Simplified Boardgames. We present an algorithm generating natural language descriptions of piece movements that can be used as a tool not only for explaining them to human players, but also for the task of procedural game generation using an evolutionary approach. We test our algorithm on some existing human-made and procedurally generated chess-like games.

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Kowalski, J., Żarczyński, Ł., & Kisielewicz, A. (2017). Evaluating chess-like games using generated natural language descriptions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10664 LNCS, pp. 127–139). Springer Verlag. https://doi.org/10.1007/978-3-319-71649-7_11

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