Abstract
Diable is a famous Chinese dark chess program, which won the Chinese dark chess tournaments in TAAI 2011, TCGA 2011, and TCGA2012 computer game tournaments. Chinese dark chess is an old and very popular game in Chinese culture sphere. This game is played with imperfect information. Most computer Chinese dark chess programs used alpha-beta search with chance nodes to deal with the imperfect information. Diable used a new nondeterministic Monte Carlo tree search model for Chinese dark chess. These tournament results show that the nondeterministic Monte Carlo tree search is promising for Chinese dark chess.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Borsboom, J., Saito, J., Chaslot, G., Uiterwijk, J.: A comparison of Monte-Carlo methods for Phantom Go. In: Proc. 19th Belgian–Dutch Conference on Artificial Intelligence – BNAIC, Utrecht, The Netherlands (2007)
Van den Broeck, G., Driessens, K., Ramon, J.: Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. In: Zhou, Z.-H., Washio, T. (eds.) ACML 2009. LNCS (LNAI), vol. 5828, pp. 367–381. Springer, Heidelberg (2009)
Browne, C., Powley, E., Whitehouse, D., Lucas, S., Cowling, P., Rohlfshagen, P., Tavener, S., Perez, D., Samothrakis, S., Colton, S.: A survey of Monte Carlo Tree Search. IEEE Transactions on Computational Intelligence and AI in Games 4(1) (March 2012)
Chaslot, G.M.J.-B., Winands, M.H.M., Uiterwijk, J.W.H.M., van den Herik, H.J., Bouzy, B.: Progressive strategies for Monte-Carlo Tree Search. New Mathematics and Natural Computation 4(3), 343–357 (2008)
Chen, B.N., Shen, B.-J., Hsu, T.S.: Chinese Dark Chess. ICGA Journal 33(2), 93–106 (2010)
Chen, J.-C., Lin, T.-Y., Hsu, S.-C., Hsu, T.-S.: Design and Implementation of Computer Chinese Dark Chess Endgame Database. In: Proceeding of TCGA Workshop 2012, Hualien, Taiwan, pp. 5–9 (2012)
Chou, C.-W., Yen, S.-J., Wu, I.-C.: TAAI 2011 Computer Go Tournaments. ICGA Journal 34(4), 251–252 (2011)
Ciancarini, P., Favini, G.P.: Monte Carlo tree search in Kriegspiel. Artificial Intelligence 174, 670–684 (2010)
Enzenberger, M., Müller, M., Arneson, B., Segal, R.: Fuego - An Open-Source Framework for Board Games and Go Engine Based on Monte Carlo Tree Search. IEEE Transactions on Computational Intelligence and AI in Games 2(4), 259–270 (2010)
Gelly, S., Wang, Y., Munos, R., Teytaud, O.: Modification of UCT with patterns in Monte-Carlo Go (Technical Report 6062). INRIA (2006)
Gelly, S., Silver, D.: Monte-Carlo tree search and rapid action value estimation in computer Go. Artificial Intelligence 175(11), 1856–1875 (2011)
Van den Broeck, G., Driessens, K., Ramon, J.: Monte-Carlo Tree Search in Poker Using Expected Reward Distributions. In: Zhou, Z.-H., Washio, T. (eds.) ACML 2009. LNCS, vol. 5828, pp. 367–381. Springer, Heidelberg (2009)
Kloetzer, J., Iida, H., Bouzy, B.: The Monte-Carlo Approach in Amazons. In: Proceedings of the Computer Games Workshop 2007 (CGW 2007), Amsterdam, The Netherlands, pp. 185–192 (2007)
Kocsis, L., Szepesvari, C.: Bandit based Monte-Carlo planning. In: 15th European Conference on Machine Learning, pp. 282–293 (2006)
Lai, S.-C.: Research and Implementation of Computer Dark Chess Program with Heuristics, National Dong Hwa University, Matser thesis (2008) (in Chinese)
Van Lishout, F., Chaslot, G., Uiterwijk, J.: Monte-Carlo Tree Search in Backgammon. In: Proceedings of the Computer Games Workshop 2007 (CGW 2007), Amsterdam, The Netherlands, pp. 175–184 (2007)
Lou, W.-C.: Artificial Intelligence Improvement of Chinese Dark Chess, National Taiwan Normal University, Master thesis (2011) (in Chinese)
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice Hall (2003)
Shieh, Y.-A.: The Design and Implementation of Computer Dark Chess, National Taiwan Normal University, Master thesis (2008) (in Chinese)
Shih, H.-C., Lin, S.-S.: The Design and Implementation of Computer Dark Chess. In: Proceeding of TCGA Workshop 2012, Hualien, Taiwan, pp. 29–36 (2012) (in Chinese)
Veness, J., Ng, K.S., Hutter, M., Uther, W., Silver, D.: A Monte-Carlo AIXI Approximation. J. Artif. Intell. Res. 40, 95–142 (2011)
Yang, J.-K., Su, T.-C., Wu, I.-C.: TCGA 2012 Computer Game Tournament Report. Submitted to ICGA Journal (2012)
Yen, S.-J., Su, T.-C., Wu, I.-C.: The TCGA 2011 Computer-Games Tournament. ICGA Journal 34(2), 108–110 (2011)
Yen, S.-J., Chiu, S.-Y., Wu, I.-C.: Modark Wins Chinese Dark Chess Tournament. ICGA Journal 33(4), 230–231 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yen, SJ., Chou, CW., Chen, JC., Wu, IC., Kao, KY. (2013). The Art of the Chinese Dark Chess Program DIABLE. In: Chang, RS., Jain, L., Peng, SL. (eds) Advances in Intelligent Systems and Applications - Volume 1. Smart Innovation, Systems and Technologies, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35452-6_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-35452-6_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35451-9
Online ISBN: 978-3-642-35452-6
eBook Packages: EngineeringEngineering (R0)