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2015
Springer

Towards Human-Competitive Game Playing for Complex Board Games with Genetic Programming

3 years 12 days ago
Towards Human-Competitive Game Playing for Complex Board Games with Genetic Programming
Recent works have shown that Genetic Programming (GP) can be quite successful at evolving human-competitive strategies for games ranging from classic board games, such as chess, to action video games. However to our knowledge GP was never applied to modern complex board games, so-called eurogames, such as Settlers of Catan, i.e. board games that typically involve four characteristics: they are non zero-sum games, multiplayer, with hidden information and random elements. In this work we study how GP can evolve artificial players from low level attributes of a eurogame named “7 Wonders”, that features all the characteristics of this category. We show that GP can evolve competitive artificial intelligence (AI) players against human-designed AI or against Monte Carlo Tree Search, a standard in automatic game playing.
Denis Robilliard, Cyril Fonlupt
Added 13 Apr 2016
Updated 13 Apr 2016
Type Journal
Year 2015
Where AE
Authors Denis Robilliard, Cyril Fonlupt
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