Publications

Below you can find my (scientific) publications. Papers, which cannot be downloaded, are available on request.

Journal Articles

• Rossi, L., Winands, M.H.M. and Butenweg, C. (2022). Monte Carlo Tree Search as an Intelligent Search Tool in Structural Design Problems. Engineering with Computers, Vol. 38, pp. 3219–3236.

• Sironi, C.F. and Winands, M.H.M. (2021). Analysis of the Impact of Randomization of Search-Control Parameters in Monte-Carlo Tree Search. Journal of Artificial Intelligence Research, Vol. 72, pp. 717-757.

• Sironi, C.F., Liu, J., and Winands, M.H.M. (2020). Self-Adaptive Monte-Carlo Tree Search in General Game Playing. IEEE Transactions on Games. Vol. 12, No. 2, pp. 132-144.

• Gaina, R.D., Couëtoux, A., Soemers, D.J.N.J., Winands, M.H.M., Vodopivec, T., Kirchgeßner, F., Liu, J., Lucas, S.M., and Pérez-Liébana, D. (2018). The 2016 Two-Player GVGAI Competition. IEEE Transactions on Games, Vol. 10, No. 2, pp. 209-220.

• Baier, H. and Winands, M.H.M. (2018). MCTS-Minimax Hybrids with State Evaluations. Journal of Artificial Intelligence Research, Vol. 62, pp. 193-231.

• Baier, H. and Winands, M.H.M. (2016). Time Management for Monte Carlo Tree Search. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 8, No. 3, pp. 301-314.

• Bošanský, B., Lisý, V., Lanctot, M., Čermák, J., and Winands, M.H.M. (2016). Algorithms for Computing Strategies in Two-Player Simultaneous Move Games. Artificial Intelligence, Vol. 237, pp. 1-40.

• Baier, H. and Winands, M.H.M. (2015). MCTS-Minimax Hybrids. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 7, No. 2, 167-179.

• Tak, M.J.W., Winands, M.H.M., and Björnsson, Y. (2014). Decaying Simulation Strategies. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 6, No. 4, pp. 395-406.

• Pepels, T., Winands, M.H.M., and Lanctot, M. (2014). Real-Time Monte Carlo Tree Search in Ms Pac-Man. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 6, No. 3, pp. 245-257. 

• Nijssen, J.A.M. and Winands, M.H.M. (2013). Search Policies in Multi-Player Games. ICGA Journal, Vol. 36, No. 1, pp. 3-21.

• Kishimoto, A., Winands, M.H.M., Müller, M., and Saito, J-T. (2012). Game-Tree Search Using Proof Numbers: The First Twenty Years. ICGA Journal, Vol. 35, No. 3, pp. 131-156. Erratum

• Nijssen, J.A.M. and Winands, M.H.M. (2012). Monte-Carlo Tree Search for the Hide-and-Seek Game Scotland Yard. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 4, No. 4, pp. 282-294.

• Schadd, M.P.D., Winands, M.H.M., Tak, M.J.W., and Uiterwijk, J.W.H.M. (2012). Single-Player Monte-Carlo Tree Search for SameGame. Knowledge-Based Systems, Vol. 34, pp. 3-11.

• Tak, M.J.W., Winands, M.H.M., and Björnsson, Y. (2012). N-Grams and the Last-Good-Reply Policy applied in General Game Playing. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 4, No. 2, pp. 73-83.

• Schadd, M.P.D. and Winands, M.H.M. (2011). Best Reply Search for Multi-Player Games. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 3, No. 1, pp. 57-66.

• Winands, M.H.M., Björnsson, Y., and Saito, J-T. (2010). Monte Carlo Tree Search in Lines of Action. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2, No. 4, pp. 239-250.

• Werf, E.C.D. van der and Winands, M.H.M. (2009). Solving Go for Rectangular Boards. ICGA Journal, Vol. 32, No. 2, pp. 77-88.

• Chaslot, G.M.J-B., Winands, M.H.M., Szita, I., and Herik, H.J. van den (2008). Cross-Entropy for Monte-Carlo Tree Search. ICGA Journal, Vol. 31, No. 3, pp. 145-156.

• Winands, M.H.M. and Björnsson, Y. (2008). Enhanced Realization Probability Search. New Mathematics and Natural Computation, Vol. 4, No. 3, pp. 329-342. ©World Scientific Publishing Company.

• Chaslot, G.M.J-B., Winands, M.H.M., Herik, H.J. van den, Uiterwijk, J.W.H.M., and Bouzy, B. (2008). Progressive Strategies for Monte-Carlo Tree Search. New Mathematics and Natural Computation, Vol. 4, No. 3, pp. 343-357. ©World Scientific Publishing Company. Received the 2008 ChessBase Best-Publication Award.

• Schadd, M.P.D., Winands, M.H.M., Uiterwijk, J.W.H.M., Herik, H.J. van den, and Bergsma M.H.J. (2008). Best Play in Fanorona Leads to Draw. New Mathematics and Natural Computation, Vol. 4, No. 3, pp. 369-387.

• Werf, E.C.D. van der, Winands, M.H.M., Herik, H.J. van den, and Uiterwijk, J.W.H.M. (2005). Learning to Predict Life and Death from Go Game Records. Information Sciences, Vol. 175, No. 4, pp. 258-272. ISSN 0020-0255.

• Winands, M.H.M., Herik, H.J. van den, Uiterwijk, J.W.H.M., and Werf, E.C.D. van der (2005). Enhanced Forward Pruning. Information Sciences, Vol. 175, No. 4, pp. 315-329. ISSN 0020-0255.

• Winands, M.H.M., Uiterwijk, J.W.H.M., and Herik, H.J. van den (2004). An Effective Two-Level Proof-Number Search Algorithm. Theoretical Computer Science, Vol. 313, No. 3, pp. 511-525.

• Winands, M.H.M., Uiterwijk, J.W.H.M., and Herik, H.J. van den (2001). The Quad Heuristic in Lines of Action. ICGA Journal, Vol. 24, No. 1, pp. 3-15. ISSN 0920-234X.

Books

• Cazenave, T., Teytaud, O., Winands, M.H.M.(eds) (2021. Monte Carlo Search: First Workshop, MCS 2020, Held in Conjunction with IJCAI 2020, Virtual Event, January 7, 2021, Proceedings. Vol 1379 of Communications in Computer and Information Science, Springer. ISBN 978-3-030-89452-8.

• Cazenave, T., Winands, M.H.M., and Saffidine, A. (eds) (2018). Computer Games: 6th Workshop, CGW 2017, Held in Conjunction with the 26th International Conference on Artificial Intelligence, IJCAI 2017, Melbourne, VIC, Australia, August, 20, 2017, Revised Selected Papers. Vol 818 of Communications in Computer and Information Science, Springer. ISBN 978-3-319-75930-2

• Winands, M.H.M., van den Herik, H.J., and Kosters, W.A. (eds) (2017). Advances in Computer Games 15th International Conferences, ACG 2017, Leiden, The Netherlands, July 3–5, 2017, Revised Selected Papers, Vol. 10664 of Lecture Notes in Computer Science (LNCS), Springer International Publishing. ISBN 978-3-319-71648-0.

• Cazenave, T.,  Winands, M.H.M., Edelkamp, S., Schiffel, S., Thielscher, M., and Togelius, J. (eds) (2017). Computer Games: 5th Workshop on Computer Games, CGW 2016, and 5th Workshop on General Intelligence in Game-Playing Agents, GIGA 2016, Held in Conjunction with the 25th International Conference on Artificial Intelligence, IJCAI 2016, New York, USA, July 9-10, 2016, Revised Selected Papers, Vol. 705 of Communications in Computer and Information Science. Springer International Publishing. ISBN 978-3-319-57968-9.

• Cazenave, T.,  Winands, M.H.M., Edelkamp, S., Schiffel, S., Thielscher, M., and Togelius, J. (eds)  (2016). Computer Games: Fourth Workshop on Computer Games, CGW 2015, and the Fourth Workshop on General Intelligence in Game-Playing Agents, GIGA 2015, Held in Conjunction with the 24th International Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 26-27, 2015, Revised Selected Papers, Vol. 614 of Communications in Computer and Information Science. © Springer International Publishing 2016. Springer International Publishing. ISBN 978-3-319-39401-5.

• Cazenave, T.,  Winands, M.H.M., and Björnsson Y. (eds) (2014). Computer Games: Third Workshop on Computer Games, CGW 2014, Held in Conjunction with the 21st European Conference on Artificial Intelligence, ECAI 2014, Prague, Czech Republic, August 18, 2014, Revised Selected Papers, Vol. 504 of Communications in Computer and Information Science. Springer. ISBN 978-3-319-14922-6.

• Cazenave, T., Winands, M.H.M., and Iida, H. (eds) (2014). Computer Games – Workshop on Computer Games, CGW 2013, Held in Conjunction with the 23rd International Conference on Artificial Intelligence, IJCAI 2013, Beijing, China, August 3, 2013, Revised Selected Papers, Vol. 408 of Communications in Computer and Information Science. Springer. ISBN 978-3-319-05427-8.

• Uiterwijk, J.W.H.M, Roos, N., and Winands, M.H.M. (eds.) (2012). Proceedings of the Twenty-Fourth Benelux Conference on Artificial Intelligence (BNAIC 2012). Maastricht University, Maastricht, The Netherlands, ISSN 1568-7805.

• Herik, H.J. van den, Xu, X., Ma, Z., and Winands, M.H.M. (eds.) (2008). Computers and Games (CG 2008), Vol. 5131 of Lecture Notes in Computer Science (LNCS), Springer, ISBN 978-3-540-87607-6.

• Herik, H.J. van den, Uiterwijk, J.W.H.M., Winands, M.H.M., and Schadd, M.P.D. (eds.) (2007). Computer Games Workshop 2007 (CGW 2007). MICC Technical Report Series, 07-06. MICC, Universiteit Maastricht, Maastricht. ISSN 0922-8721.

• Winands, M.H.M. (2004). Informed Search in Complex Games. Ph.D. thesis. Universiteit Maastricht, Maastricht, The Netherlands. ISBN 90-5278-429-9. Universitaire Pers Maastricht. Received the 2004 ChessBase Best-Publication Award.

Book Chapters

• Winands, M.H.M. (2017). Monte-Carlo Tree Search in Board Games. In Handbook of Digital Games and Entertainment Technologies, (eds. R. Nakatsu, M. Rauterberg and P. Ciancarini), pp. 47-76, Chapter 3, Springer Singapore.

• Winands, M.H.M. (2015). Monte-Carlo Tree Search. In Encyclopedia of Computer Graphics and Games (ed. N. Lee), pp. 1-6. Springer, Cham.

• Herik, H.J. van den and Winands, M.H.M. (2008). Proof-Number Search and its Variants. Oppositional Concepts in Computational Intelligence, Vol. 155 of Studies in Computational Intelligence, (eds. H.R. Tizhoosh and M. Ventresca), Chapter 6, pp. 91-118. Springer, ISBN 978-3-540-70826-1.

Conference Articles

• Doe, E., Winands, M.H.M., Soemers, D.J.N.J., and Browne, C. (2022). Combining Monte-Carlo Tree Search with Proof-Number Search. In 2022 IEEE Conference on Games (COG). IEEE.

• Kowalski, J., Mika, M., Pawlik, W., Sutowicz, J., Szykula, M., and Winands, M.H.M. (2022). Split Moves for Monte-Carlo Tree Search. In Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2022), pp. 10247-10255.

• Sironi, C.F., and Winands, M.H.M (2021). Adaptive General Search Framework for Games and Beyond. In 2021 IEEE Conference on Games (COG). IEEE

• Jeurissen, D., Winands, M.H.M., Sironi, C.F., Perez Liebana, D. (2021). Automatic Goal Discovery in Subgoal Monte Carlo Tree Search. In 2021 IEEE Conference on Games (COG). IEEE

• Gaina, R.D., Sironi, C.F., Winands, M.H.M., Perez Liebana, D. and Lucas, S. (2020). Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing. In 2020 IEEE Conference on Games (COG), pp. 367-374. IEEE.

• Piette, E., Soemers, D.J.N.J., Stephenson, M., Sironi, C.F., Winands, M.H.M. and Browne C. (2020). Ludii – The Ludemic General Game System. In 24th European Conference on Artificial Intelligence (ECAI 2020), Vol. 325 of Frontiers in Artificial Intelligence and Applications, pp. 411-418.

• Drageset, O., Gaina, R., Perez Liebana, D., and Winands, M.H.M. (2019). Optimising Level Generators for General Video Game AI. In 2019 IEEE Conference on Games (COG). IEEE.

• Sironi, C.F., and Winands, M.H.M. (2019). Comparing Randomization Strategies for Search-Control Parameters in MCTS. In 2019 IEEE Conference on Games (COG). IEEE.

• Siwek, C., Kowalski, J., Sironi, C.F., and Winands M.H.M. (2018). Implementing Propositional Networks on FPGA. In AI 2018: Advances in Artificial Intelligence (eds T. Mitrovic,  B. Xue, X. Li), Vol. 11320 of  Lecture Notes in Computer Science, 133-145. Springer, Cham.

• Rooijackers, M.L.M. and Winands, M.H.M. (2018). Wall Building in the Game of StarCraft with Terrain Considerations. In 2018 IEEE Conference on Computational Intelligence and Games (CIG 2018), pp. 453-457. IEEE.

• Sironi, C.F. and Winands, M.H.M. (2018). Analysis of Self-adaptive Monte Carlo Tree Search in General Video Game Playing. In 2018 IEEE Conference on Computational Intelligence and Games (CIG 2018), pp. 397-400. IEEE.

• Sironi, C.F., Liu, J., Perez Liebana, D., Gaina, R.D., Bravi, I., Lucas, S.M., Winands, M.H.M. (2018). Self-adaptive MCTS for General Video Game Playing. In Applications of Evolutionary Computation. EvoApplications 2018,  (eds. K. Sim, & P. Kaufmann), Vol. 10784 of Lecture Notes in Computer Science, pp. 358-375, Springer, ISBN 978-3-319-77537-1. 

• Soemers, D.J.N.J., Brys T., Driessens, K., Winands, M.H.M., Nowé, A. (2018). Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees. In Thirtieth Conference on Innovative Applications of Artificial Intelligence (IAAI-18), pp. 7831-7836. AAAI.

• Rooijackers, M.L.M. and Winands, M.H.M. (2017). Resource-Gathering Algorithms in the Game of StarCraft.  In 2017 IEEE Conference on Computational Intelligence and Games (CIG 2017), pp. 264-271. IEEE

• Soemers, D.J.N.J., Sironi, C.F., Schuster, T., and Winands, M.H.M. (2016). Enhancements for Real-Time Monte-Carlo Tree Search in General Video Game Playing. In 2016 IEEE Conference on Computational Intelligence and Games (CIG 2016), pp. 436-443. IEEE. Best Student Paper Award.

• Sironi, C.F. and Winands, M.H.M. (2016). Comparison of Rapid Action Value Estimation Variants for General Game Playing. In 2016 IEEE Conference on Computational Intelligence and Games (CIG 2016), pp. 309-316. IEEE.

• Soemers, D.J.N.J. and Winands, M.H.M. (2016). Hierarchical Task Network Plan Reuse for Video Games. In 2016 IEEE Conference on Computational Intelligence and Games (CIG 2016), pp. 1-8. IEEE.

• Lanctot, M., Winands, M.H.M, Pepels, T., and Sturtevant, N.R. (2014). Monte Carlo Tree Search with Heuristic Evaluations using Implicit Minimax Backups. In 2014 IEEE Conference on Computational Intelligence and Games (CIG 2014), pp. 341-348. IEEE.

• Tak, M.J.W., Lanctot, M., and Winands, M.H.M. (2014). Monte Carlo Tree Search Variants for Simultaneous Move Games. In 2014 IEEE Conference on Computational Intelligence and Games (CIG 2014), pp. 232-239. IEEE.

• Pepels, T., Tak, M.J.W., Lanctot, M., and Winands, M.H.M. (2014). Quality-based Rewards for Monte-Carlo Tree Search Simulations. In 21st European Conference on Artificial Intelligence (ECAI 2014) (eds. T. Schaub, G. Friedrich and B. O'Sullivan), Vol. 263 of Frontiers in Artificial Intelligence and Applications, pp. 705 - 710. IOS Press.

• Esser, M., Gras, M., Winands, M.H.M., Schadd, M.P.D., and Lanctot, M. (2014). Improving Best-Reply Search. In Computers and Games (CG 2013), Vol. 8427 of Lecture Notes in Computer Science, pp. 125-137. Springer International Publishing Switzerland.

• Lanctot, M., Wittlinger, C., Winands, M.H.M., and Den Teuling, N.G.P. (2013). Monte Carlo Tree Search for Simultaneous Move Games: A Case Study in the Game of Tron. In Proceedings of the Twenty-Fifth Benelux Conference on Artificial Intelligence (BNAIC 2013) (eds. K. Hindriks, M. de Weerdt, B. van Riemsdijk, and M. Warnier), pp. 104-111.

• Baier, H. and Winands, M.H.M. (2013). Monte-Carlo Tree Search and Minimax Hybrids. In 2013 IEEE Conference on Computational Intelligence in Games (CIG 2013), pp. 129-136. IEEE.

• Lanctot, M., Saffidine, A., Veness, J., Archibald, C., and Winands, M.H.M. (2013). Monte Carlo *-Minimax Search. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI 2013) (editor F. Rossi), pp. 580-586.

• Baier, H. and Winands, M.H.M. (2012). Beam Monte-Carlo Tree Search. In 2012 IEEE Conference on Computational Intelligence and Games (CIG 2012), pp. 227-233. IEEE.

• Pepels, T. and Winands, M.H.M. (2012). Enhancements for Monte-Carlo Tree Search in Ms Pac-Man. In 2012 IEEE Conference on Computational Intelligence and Games (CIG 2012), pp. 265-272. IEEE.

• Baier, H. and Winands, M.H.M. (2012). Nested Monte-Carlo Tree Search for Online Planning in Large MDPs. In 20th European Conference on Artificial Intelligence (ECAI 2012) (eds. L. De Raedt, C. Bessière, D. Dubois, P. Doherty, P. Frasconi, F. Heintz, and P. J. F. Lucas), pp. 109-114. IOS press.

• Baier, H. and Winands, M.H.M. (2012). Time Management for Monte-Carlo Tree Search in Go. In Advances in Computer Games (ACG 13), Vol. 7168 of Lecture Notes in Computer Science, pp. 39-51. Springer Verlag, Heidelberg/Berlin.

• Nijssen, J.A.M. and Winands, M.H.M (2012). Playout Search for Monte-Carlo Tree Search in Multi-Player Games. In Advances in Computer Games (ACG 13), Vol. 7168 of Lecture Notes in Computer Science, pp. 72-83. Springer Verlag, Heidelberg/Berlin.

• Stankiewicz, J.A., Winands, M.H.M. and Uiterwijk, J.W.H.M. (2012). Monte-Carlo Tree Search Enhancements for Havannah. In Advances in Computer Games (ACG 13), Vol. 7168 of Lecture Notes in Computer Science, pp. 60-71. Springer Verlag, Heidelberg/Berlin.

• Baier, H. and Winands, M.H.M. (2011). Active Opening Book Application for Monte-Carlo Tree Search in 19×19 Go. In Proceedings of the Twenty-Third Benelux Conference on Artificial Intelligence (BNAIC 2011) (eds. P. De Causmaecker, J. Maervoet, T. Messelis, K. Verbeeck and T. Vermeulen), pp. 3-10.

• Winands, M.H.M. and Björnsson, Y. (2011). αβ-based Play-outs in Monte-Carlo Tree Search. In 2011 IEEE Conference on Computational Intelligence and Games (CIG 2011) (eds. S.B. Cho, S.M. Lucas, P. Hingston), pp. 110-117. IEEE.

• Nijssen, J.A.M. and Winands, M.H.M. (2011). Monte-Carlo Tree Search for the Game of Scotland Yard. In 2011 IEEE Conference on Computational Intelligence and Games (CIG 2011) (eds. S.B. Cho, S.M. Lucas, P. Hingston), pp. 158-165. IEEE.

• Winands, M.H.M. and Schadd, M.P.D. (2011). Evaluation-Function Based Proof-Number Search. In Computers and Games (CG 2010), Vol. 6515 of Lecture Notes in Computer Science (LNCS), pp. 23-35. © Springer, Berlin Heidelberg.

• Nijssen, J.A.M. and Winands, M.H.M. (2011). Enhancements for Multi-Player Monte-Carlo Tree Search. In Computers and Games (CG 2010), Vol. of 6515 Lecture Notes in Computer Science (LNCS), pp. 238-249. © Springer, Berlin Heidelberg.

• St-Pierre, D.L., Winands, M.H.M., and Watt, D.A. (2010). A Selective Move Generator for the Game Axis and Allies. In 2010 IEEE Conference on Computational Intelligence and Games (CIG 2010) (eds. G.N. Yannakakis and J. Togelius), pp. 162-169. IEEE.

• Saito, J-T. and Winands, M.H.M. (2010). Paranoid Proof-Number Search. In 2010 IEEE Conference on Computational Intelligence and Games (CIG 2010) (eds. G.N. Yannakakis and J. Togelius), pp. 203-210. IEEE.

• Winands, M.H.M. and Björnsson, Y. (2010). Evaluation Function Based Monte-Carlo LOA. In Advances in Computer Games (ACG 2009), Vol. of 6048 Lecture Notes in Computer Science (LNCS), pp. 33-44. © Springer, Berlin Heidelberg.

• Saito, J-T., Winands, M.H.M., and Herik, H.J. van den (2010). Randomized Parallel Proof-Number Search. In Advances in Computer Games (ACG 2009), Vol. of 6048 Lecture Notes in Computer Science (LNCS), pp. 75-87. © Springer, Berlin Heidelberg.

• Skowronski, P., Björnsson, Y., and Winands, M.H.M. (2010). Automated Discovery of Search-Extension Features. In Advances in Computer Games (ACG 2009), Vol. 6048 of Lecture Notes in Computer Science (LNCS), pp. 182-194. © Springer, Berlin Heidelberg.

• Schadd, M.P.D. and Winands, M.H.M. (2009). Quiescence Search for Stratego. In Proceedings of the Twenty-First Benelux Conference on Artificial Intelligence (BNAIC 2009) (eds. T. Calders, K. Tuyls, and M. Pechenizkiy), pp. 225-232.

• Schadd, M.P.D., Winands, M.H.M., and Uiterwijk, J.W.H.M. (2009). ChanceProbcut: Forward Pruning in Chance Nodes. In 2009 IEEE Symposium on Computational Intelligence and Games (CIG'09) (ed. P.L. Lanzi), pp. 178-185. IEEE. ISBN: 978-1-4244-4815-9.

• Winands, M.H.M., Björnsson, Y., and Saito, J-T. (2008). Monte-Carlo Tree Search Solver. In Computers and Games (CG 2008), Vol. 5131 of Lecture Notes in Computer Science, pp. 25-36. © Springer, Berlin Heidelberg.

• Chaslot, G.M.J-B., Winands, M.H.M., and Herik, H.J. van den (2008). Parallel Monte-Carlo Tree Search. In Computers and Games (CG 2008), Vol. 5131 of Lecture Notes in Computer Science (LNCS), pp. 60-71. © Springer, Berlin Heidelberg.

• Schadd, M.P.D., Winands, M.H.M., Chaslot, G.M.J-B, Herik, H.J. van den, and Uiterwijk, J.W.H.M. (2008). Single-Player Monte-Carlo Tree Search. In Computers and Games (CG 2008), Vol. 5131 of Lecture Notes in Computer Science (LNCS), pp. 1-12. Springer, Berlin Heidelberg.

• Winands, M.H.M. and Björnsson, Y. (2007). Enhanced Realization Probability Search. Proceedings of the 10th Joint Conference on Information Sciences (JCIS 2007) (eds. P. Wang et al.), pp. 643-649. World Scientific Publishing Co. Pte. Ltd.

• Chaslot, G.M.J.B., Winands, M.H.M., Uiterwijk, J.W.H.M., Herik, H.J. van den, and Bouzy, B. (2007). Progressive Strategies for Monte-Carlo Tree Search. Proceedings of the 10th Joint Conference on Information Sciences (JCIS 2007) (eds. P. Wang et al.), pp. 655-661. World Scientific Publishing Co. Pte. Ltd.

• Schadd, M.P.D., Winands, M.H.M., Uiterwijk, J.W.H.M., Herik, H.J. van den, and Bergsma, M.H.J. (2007). Best Play in Fanorona Leads to Draw. Proceedings of the 10th Joint Conference on Information Sciences (JCIS 2007) (eds. P. Wang et al.), pp. 635-642. World Scientific Publishing Co. Pte. Ltd.

• Saito J-T., Winands, M.H.M., Uiterwijk, J.W.H.M., and van den Herik, H.J. (2007). Grouping Nodes for Monte-Carlo Go. BNAIC 2007 (eds. M.M. Dastani and E. de Jong), pp. 276-283.

• Smirnov, E.N., Winands, M.H.M., Spronck, P.H.M., and Schadd, M.P.D. (2007). Constructing Reliable Classifiers for Road Side Assistance. Benelearn 2007 (eds. M. van Someren, S. Katrenko, and P. Adriaans), pp. 105-111.

• Kocsis, L., Szepesvári, C., and Winands, M.H.M. (2006). RSPSA: Enhanced Parameter Optimisation in Games. Advances in Computer Games Conference (ACG 2005) (eds. H.J. van den Herik, S.-C. Hsu, T.-S. Hsu, and H.H.L.M. Donkers), Vol. 4250 of Lecture Notes in Computer Science (LNCS), pp. 39-56. © Springer-Verlag Berlin Heidelberg.

• Winands, M.H.M., Werf, E.C.D. van der, Herik, H.J. van den, and Uiterwijk, J.W.H.M. (2006). The Relative History Heuristic. Computers and Games (CG 2004) (eds. H.J. van den Herik, Y. Björnsson, and N.S. Netanyahu), Vol. 3846 of Lecture Notes in Computer Science (LNCS), pp. 262-272.

• Winands, M.H.M., Herik, H.J. van den, and Uiterwijk, J.W.H.M. (2003). An Evaluation Function for Lines of Action. Advances in Computer Games 10 (eds. H.J. van den Herik, H. Iida and E. Heinz), Vol. 135 of IFIP Advances in Information and Communication Technology, pp. 249-260. Kluwer Academic Publishers/Boston.

• Winands, M.H.M., Uiterwijk, J.W.H.M., and Herik, H.J. van den (2003). PDS-PN: A New Proof-Number Search Algorithm: Application to Lines of Action. Computers and Games (CG 2002) (eds. J. Schaeffer, M. Müller and Y. Björnsson), Vol. 2883 of Lecture Notes in Computer Science (LNCS), pp. 61-74. © Springer-Verlag Berlin Heidelberg 2003.

• Werf, E.C.D. van der, Winands, M.H.M., Herik, H.J. van den, and Uiterwijk, J.W.H.M. (2003). Learning to Predict Life and Death from Go Game Records. Proceedings of the 7th Joint Conference on Information Sciences (JCIS 2003) (eds. P. Wang et al.), pp. 501-504.

• Winands, M.H.M., Herik, H.J. van den, Uiterwijk, J.W.H.M, and Werf, E.C.D van der (2003). Enhanced Forward Pruning. Proceedings of the 7 Joint Conference on Information Sciences (JCIS) (eds. P. Wang et al.), pp. 485-488.

• Winands, M.H.M, Kocsis, L., Uiterwijk, J.W.H.M., and Herik, H.J. van den (2002). Temporal Difference Learning and the Neural MoveMap Heuristic in the Game of Lines of Action. GAME-ON 2002 3rd International Conference on Intelligent Games and Simulation (eds. Q. Mehdi, N. Gough and M. Cavazza), pp. 99-103. SCS Europe Bvba. ISBN 90-77039-10-4.

• Winands, M.H.M, Kocsis, L., Uiterwijk, J.W.H.M., and Herik, H.J. van den (2002). Learning in Lines of Action. Proceedings of the Fourteenth Belgium-Netherlands Conference on Artificial Intelligence (BNAIC 2002) (eds. H. Blockeel and M. Denecker), pp. 371-378.

• Winands, M.H.M, Uiterwijk, J.W.H.M., and Herik, H.J. van den (2001). Combining Proof-Number Search with Alpha-Beta Search. Proceedings of the Thirteenth Belgium-Netherlands Conference on Artificial Intelligence (BNAIC 2001) (eds. B. Kröse, M. de Rijke, G. Schreiber and M. van Someren), pp. 299-306.

Research Notes / Letters (Refereed)

• Winands, M.H.M. (2008). 6×6 LOA is Solved. ICGA Journal, Vol. 31, No. 4, pp. 234-238.

Workshop Articles

• Sironi, C.F., Cazenave, T., and Winands, M.H.M (2021). Enhancing Playout Policy Adaptation for General Game Playing. In IJCAI Workshop Monte Carlo Search 2020, MCS 2020, Vol. 1379 of Communications in Computer and Information Science, pp. 116-139. Springer Nature Switzerland.

• Sironi, C.F. and Winands, M.H.M. (2018). On-line Parameters Tuning for Monte-Carlo Tree Search in General Game Playing. In 6th Workshop on Computer Games, CGW 2017, Vol. 818 of Communications in Computer and Information Science, pp. 75-95. Springer, Cham.

• Sironi, C.F. and Winands, M.H.M. (2017). Optimizing Propositional Networks. In 5th Workshop on Computer Games, CGW 2016, and 5th Workshop on General Intelligence in Game-Playing Agents, GIGA 2016, Vol. 705 of Communications in Computer and Information Science, pp. 133-151. Springer

• Pepels, T., Cazenave, T., and Winands, M.H.M. (2016). Sequential Halving for Partially Observable Games. In Computer Games: Fourth Workshop on Computer Games, CGW 2015, and the Fourth Workshop on General Intelligence in Game-Playing Agents, GIGA 2015, Vol. 614 of Communications in Computer and Information Science, pp. 16-29. Springer.

• Winands, M.H.M. (2016). The Surakarta Bot Revealed. In Computer Games Fourth Workshop on Computer Games, CGW 2015, and the Fourth Workshop on General Intelligence in Game-Playing Agents, GIGA 2015, Vol. 614 of Communications in Computer and Information Science, pp. 71-82. Springer.

• Pepels, T., Cazenave, T., Winands, M.H.M., Lanctot M. (2014). Minimizing Simple and Cumulative Regret in Monte-Carlo Tree Search. In Computer Games: Third Workshop on Computer Games (CGW 2014), Vol. 504 of Communications in Computer and Information Science, pp. 1-15. Springer.

• Baier H. and Winands, M.H.M. (2014). Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions. In Computer Games: Third Workshop on Computer Games (CGW 2014), Vol. 504 of Communications in Computer and Information Science, pp. 45-63. Springer.

• Lanctot, M., Lisý, V., and Winands, M.H.M. (2014). Monte Carlo Tree Search in Simultaneous Move Games with Applications to Goofspiel. In Computer Games (CGW 2013), Vol. 408 of Communications in Computer and Information Science, pp. 28-43. Springer. ISBN 978-3-319-05427-8.

• Tak, M.J.W., Winands, M.H.M., and Björnsson, Y. (2013). Decaying Simulation Strategies. In General Intelligence in Game-Playing Agents (GIGA'13), pp. 23-30. Beijing, China.

• Nijssen, J.A.M. and Winands, M.H.M. (2012). An Overview of Search Techniques in Multi-Player Games. Computer Games Workshop at ECAI 2012, pp. 50-61. Montpellier, France.

• Den Teuling, N.G.P. and Winands, M.H.M. (2012). Monte-Carlo Tree Search for the Simultaneous Move Game Tron. Computer Games Workshop at ECAI 2012, pp. 126-141. Montpellier, France.

• Chaslot, G.M.J-B., Hoock, J-B., Perez, J., Rimmel, A., Teytaud O., and Winands, M.H.M. (2009). Meta Monte-Carlo Tree Search for Automatic Opening Book Generation. Proceedings of the IJCAI'09 Workshop on General Intelligence in Game Playing Agents, pp. 7-12.

• Schadd, M.P.D., Winands, M.H.M., Herik, H.J. van den, and Aldewereld, H. (2008). Addressing NP-Complete Puzzles with Monte-Carlo Methods. Proceedings of the AISB 2008 Symposium on Logic and the Simulation of Interaction and Reasoning, Vol. 9, pp. 55-61, The Society for the study of Artificial Intelligence and Simulation of Behaviour, Brighton, UK.

• Saito J-T., Winands, M.H.M., Uiterwijk, J.W.H.M., and Herik, H.J. van den (2007). Grouping Nodes for Monte-Carlo Go. Computer Games Workshop 2007 (CGW 2007), (eds. H.J. van den Herik, J.W.H.M. Uiterwijk, M.H.M. Winands, and M.P.D. Schadd), pp. 125-132.

• Winands, M.H.M. and Herik, H.J. van den (2006). MIA: A World Champion LOA Program. The 11th Game Programming Workshop in Japan (GPW 2006), pp. 84-91.

• Saito, J.-T., Chaslot, G., Uiterwijk, J.W.H.M., Herik, H.J. van den, and Winands, M.H.M. (2006). Developments in Monte-Carlo Proof-Number Search. The 11th Game Programming Workshop in Japan (GPW 2006), pp. 27-31.

• Winands, M.H.M., Kocsis, L., Uiterwijk, J.W.H.M., and Herik, H.J. van den (2002). Learning in Lines of Action. The Seventh Computer Olympiad: Computer-Games Workshop Proceedings (editor J.W.H.M. Uiterwijk). Technical Reports in Computer Science, CS 02-03. Department of Computer Science, Universiteit Maastricht, Maastricht, The Netherlands. ISSN 0922-8721.

• Winands, M.H.M. and Uiterwijk, J.W.H.M. (2001). PN, PN² and PN^* in Lines of Action. The CMG Sixth Computer Olympiad: Computer-Games Workshop Proceedings (editor J.W.H.M. Uiterwijk). Technical Reports in Computer Science, CS 01-04. Department of Computer Science, Universiteit Maastricht, Maastricht, The Netherlands. ISSN 0922-8721.

• Winands, M.H.M. and Uiterwijk, J.W.H.M. (2000). Analysis and Implementation of Lines of Action. The Fifth Computer Olympiad: Computer-Games Workshop Proceedings (editor J.W.H.M. Uiterwijk), CS 00-03. Universiteit Maastricht, Maastricht, The Netherlands. ISSN 0922-8721.

Technical Papers / Notes / Abstracts / M.Sc. Thesis

• Laschet, C., op den Buijs, J., Winands, M.H.M., Pauws, S. (2020). Service Selection using Predictive Models and Monte-Carlo Tree Search. CoRR abs/2002.04852

• Bouzy, B., Björnsson, Y., Buro, M., Cazanave, T., Sironi, C.F., Teytaud, O., Wang, Hui, and Winands, M. (2020). AI for Card Games with Hidden Information. Dagstuhl Reports: Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511), Vol. 9, Issue 12, pp. 80-81.

• Sironi, C.F., Ashlock, D., Browne, C., Schaul, T., Wang, Hui, and Winands, M. (2020), Self-Adaptive Agents for General Game Playing. Dagstuhl Reports: Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511), Vol. 9, Issue 12, pp. 100-101.

• Winands, M., Ashlock, D., Buro, M. and Sironi, C.F. (2020) Search in Video Games, Dagstuhl Reports: Artificial and Computational Intelligence in Games: Revolutions in Computational Game AI (Dagstuhl Seminar 19511), Vol. 9, Issue 12, p. 111

• Sironi, C.F. and Winands, M.H.M. (2018). On-Line Parameter Tuning for Monte-Carlo Tree Search in General Game Playing (2018) In 30th Benelux Conference on Artificial Intelligence (BNAIC 2018), pp. 235-236.

• Baier, H. and Winands, M.H.M. (2018). MCTS-Minimax Hybrids with State Evaluations (Extended Abstract). In IJCAI 2018, pp. 5548-5552.

• Winands, M. (2017). The Magic of Monte-Carlo Tree Search. In AI Factory Newsletter, No. 2.

• Soemers, D.J.N.J., Sironi, C.F., Schuster, T., and Winands, M.H.M. (2016). Enhancements for Real-Time Monte-Carlo Tree Search in General Video Game Playing. In Proceedings of the Twenty-Eight Benelux Conference on Artificial Intelligence, pp. 184-185. (Extended Abstract)

• Lanctot, M., Saffidine, A., Veness, J., Archibald, C., and Winands, M.H.M. (2013). Monte Carlo *-Minimax Search. In Proceedings of the Twenty-Fifth Benelux Conference on Artificial Intelligence (BNAIC 2013) (eds. K. Hindriks, M. de Weerdt, B. van Riemsdijk, and M. Warnier), pp. 330-331. (Extended Abstract)

• Tak, M.J.W., Winands, M.H.M., and Björnsson, Y. (2012). N-Grams and the Last-Good-Reply Policy applied in General Game Playing. In Proceedings of the Twenty-Fourth Benelux Conference on Artificial Intelligence (BNAIC 2012), pp. 323-324. (Extended abstract).

• Pepels, T. and Winands, M.H.M. (2012). Enhancements for Monte-Carlo Tree Search in Ms Pac-Man. In Proceedings of the Twenty-Fourth Benelux Conference on Artificial Intelligence (BNAIC 2012), pp. 313-314. (Extended abstract).

• Nijssen, J.A.M. and Winands, M.H.M (2012). Playout Search for Monte-Carlo Tree Search in Multi-Player Games. In Proceedings of the Twenty-Fourth Benelux Conference on Artificial Intelligence (BNAIC 2012), pp. 309-310. (Extended abstract).

• Baier, H. and Winands, M.H.M. (2012). Nested Monte-Carlo Tree Search for Online Planning in Large MDPs. In Proceedings of the Twenty-Fourth Benelux Conference on Artificial Intelligence (BNAIC 2012), pp. 273-274. (Extended abstract).

• Nijssen, J.A.M. and Winands, M.H.M. (2011). Monte-Carlo Tree Search for the Game of Scotland Yard. In Proceedings of the Twenty-Third Benelux Conference on Artificial Intelligence (BNAIC 2011) (eds. P. De Causmaecker, J. Maervoet, T. Messelis, K. Verbeeck and T. Vermeulen), pp. 417-418. (Extended abstract).

• Schadd, M.P.D. and Winands, M.H.M. (2011). Best Reply Search for Multi-Player Games. In Proceedings of the Twenty-Third Benelux Conference on Artificial Intelligence (BNAIC 2011) (eds. P. De Causmaecker, J. Maervoet, T. Messelis, K. Verbeeck and T. Vermeulen), pp. 427-428. (Extended abstract).

• Nijssen, J.A.M. and Winands, M.H.M. (2010). Enhancements for Multi-Player Monte-Carlo Tree Search. In Proceedings of the Twenty-Second Benelux Conference on Artificial Intelligence (BNAIC 2010). (Extended abstract)

• Saito, J-T. and Winands, M.H.M. (2010). Paranoid Proof-Number Search. In Proceedings of the Twenty-Second Benelux Conference on Artificial Intelligence (BNAIC 2010). (Extended abstract)

• Saito J-T., Winands, M.H.M., and Herik, H.J. van den (2009). Randomized Parallel Proof-Number Search. In Proceedings of the Twenty-First Benelux Conference on Artificial Intelligence (BNAIC 2009) (eds. T. Calders, K. Tuyls, and M. Pechenizkiy), pp. 365-366.

• Winands, M.H.M., Björnsson, Y., and Saito, J-T. (2008). Monte-Carlo Tree Search Solver. In Proceedings of the Twentieth Belgian-Dutch Artificial Intelligence Conference (BNAIC 2008) (eds. A. Nijholt, M. Pantic, M. Poel, and H. Hondorp), pp. 383-384.

• Schadd, M.P.D., Winands, M.H.M., Chaslot, G.M.J-B, Herik, H.J. van den, and Uiterwijk, J.W.H.M. (2008). Single-Player Monte-Carlo Tree Search. In Proceedings of the Twentieth Belgian-Dutch Artificial Intelligence Conference (BNAIC 2008) (eds. A. Nijholt, M. Pantic, M. Poel, and H. Hondorp), pp. 361-362.

• Winands, M.H.M. (2007) Enhanced Realisation Probability Search. Liber Amicorum H. Jaap van den Herik, pp. 49-57.

• Lupascu, T. and Winands, M. (2007). State Based Expert System with Information Entities. BNVKI Newsletter, Vol. 24., No. 2, pp. 28-31.

• Schadd, M.P.D., Winands M.H.M., Bergsma M.H.J., Uiterwijk J.W.H.M., and van den Herik, H.J. (2007). Fanorona is a Draw. ICGA Journal, Vol. 30, No. 1, pp. 43-44.

• Winands, M. (2002). Computer LOA: Een nieuwe uitdaging? Computerschaak, Vol. 22, No. 5, pp. 14-15. In Dutch

• Winands, M.H.M. (2000). Analysis and Implementation of Lines of Action. M.Sc. thesis. Universiteit Maastricht, Maastricht, The Netherlands.

Reports / Editorials

•  Herik, J. van den and Winands, M. (2021). A tribute to Guy Haworth: Supporter – Mentor – Friend of Chess Endgames. ICGA Journal, Vol. 43, No. 2, pp. 114-117.

• Winands, M (2020). Many Games, Many Authors. ICGA Journal, Vol. 42, No. 4, p. 243.

• Winands, M (2020). Commemorating Computer Chess. ICGA Journal, Vol. 42, Nos. 2-3, p. 69.

• Winands, M. (2020). Stay the Course. ICGA Journal, Vol. 42, No. 1, p. 1.

• Winands, M.H.M. (2020). 2018 IEEE Conference on Computational Intelligence and Games (CIG 2018). Künstliche Intelligenz, Vol. 34, pp. 117–118.

•  Winands, M. (2019). Back to the Roots. ICGA Journal, Vol. 41, No. 4, p. 178.

• Winands, M. (2019). Get Serious. ICGA Journal, Vol. 41, No. 3, p. 115.

• Winands, M. (2019). Research Trends. ICGA Journal, Vol. 41, No. 2, p. 65.        

• Winands, M. (2019). Editorial. ICGA Journal, Vol. 41, No. 1, p. 1.

• Winands, M., Lorentz, R., and Guid, M. (2017). Advances in Computer Games 2017. ICGA Journal, Vol. 39, Nos. 3-4, pp. 205-209.

• Winands, M. and Cazenave, T. (2017). IJCAI Computer Games Workshop 2015. ICGA Journal, Vol. 39, No. 1, pp. 69-71.

• Renz, J., Miikkulainen, R., Sturtevant, N.R., and Winands, M.H.M. (2016). Guest Editorial: Physics-Based Simulation Games. IEEE Transactions on Computational Intelligence and AI in Games. Vol. 8, No. 2, pp. 101-103.

• Winands, M. (2015). Neural Networks for Video Game AI. Artificial and Computational Intelligence in Games: Integration (Dagstuhl Seminar 15051)  (eds. S.M. Lucas, M. Mateas, M. Preuss, P. Spronck, and J. Togelius), p. 224. Schloss Dagstuhl—Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany.

• Winands, M. and Cazenave, T. (2014). ECAI Computer Games Workshop 2014. ICGA Journal, Vol. 37, No. 4, pp. 230-231.

• Lanctot, M. and Winands, M. (2013). MC-LOA Wins Lines of Action Tournament. ICGA Journal, Vol. 36, No. 4, pp. 239-240.  

• Lanctot, M. and Winands, M. (2013). SIA Wins Surakarta Tournament. ICGA Journal, Vol. 36, No. 4, p. 240.

• Winands, M. and Cazenave, T. (2013). Computer Games Workshop at IJCAI 2013. ICGA Journal, Vol. 36, No. 3, pp. 189-190.

• Winands, M. and Cazenave, T. (2012). Computer Games Workshop at ECAI 2012. ICGA Journal, Vol. 35, No. 3, pp. 188-189.

• Winands, M.H.M., Björnsson, Y., and Tuyls, K. (2012). Preface for the special issue on Games and AI. Entertainment Computing, Vol. 3, No. 3, pp. 49-50.

• Winands, M. (2011). Driven by Search. BNVKI Newsletter, Vol. 28, No. 2, pp. 32-33.

• Winands, M. (2011). SIA wins Surakarta Tournament. ICGA Journal, Vol. 34, No. 1, p. 42.

• Winands, M. (2010). The Magic of Monte-Carlo Tree Search. BNVKI Newsletter, Vol. 27. No. 5, pp. 115-116.

• Winands, M. (2009). MIA wins Lines of Action Tournament. ICGA Journal, Vol. 32, No. 2, p. 113.

• Winands, M. (2009). Many Faces of Go Wins Go Tournament. ICGA Journal, Vol. 32, No. 1, pp. 54-55.

• Winands, M. (2009). De 14de Computer Olympiade. Computerschaak, Vol. 29, No. 2, pp. 18-19. In Dutch.

• Winands, M. (2008). SIA Wins Surakarta Tournament. ICGA Journal, Vol. 31, No. 3, p. 187.

• Herik, H.J. van den, Winands, M., Hellemons, J. (2008). The 13^rd Computer-Games Championship. ICGA Journal, Vol. 31, No. 3, p. 186.

• Winands, M. (2008). De 13de Computer Olympiade. Computerschaak, Vol. 28, No. 5, pp. 12-13. In Dutch.

• Winands, M. (2008). The 16^th World Computer Chess Championship and the 13^th Computer Olympiad. BNVKI Newsletter, Vol. 25, No. 5, pp. 105-106.

• Winands, M. (2007). The 10^th Joint Conference on Information Sciences. ICGA Journal, Vol. 30, No. 4, p. 242.

• Winands, M. (2007). SIA Wins Surakarta Tournament. ICGA Journal, Vol. 30, No. 3, p. 162.

• Winands, M. (2007). 8QP wins Amazons Tournament. ICGA Journal, Vol. 30, No. 3, p. 163.

• Herik, H.J. van den, Winands, M.H.M., Hellemons, J.W. (2007). The 12^th Computer Olympiad (Continued). ICGA Journal, Vol. 30, No. 3, p. 158.

• Winands, M. (2007). De 12de Computer Olympiade. Computerschaak, Vol. 27, No. 4, pp. 10-11. In Dutch.

• Herik, H.J. van den, Winands, M.H.M., Hellemons, J.W. (2007). The 12^th Computer Olympiad. ICGA Journal, Vol. 30, No. 2, p. 108.

• Winands M. (2007). The 15th World Computer Chess Championship and the 12th Computer Olympiad. BNVKI Newsletter, Vol. 24. No. 3, pp. 62-63.

• Winands, M. (2006). MIA 4.5 Wins Lines of Action Tournament. ICGA Journal, Vol. 29, No. 3, p. 162.

• Winands, M. (2006). De 11de Computer Olympiade. Computerschaak, Vol. 26, No. 4, pp. 11-13. In Dutch.

• Winands, M. (2006). PAN Wins Clobber Tournament. ICGA Journal, Vol. 29, No. 2, pp. 106-107.

• Willemson, J. and Winands, M. (2005). MILA wins Clobber Tournament. ICGA Journal, Vol. 28, No. 3, pp. 188-190.

• Winands, M.H.M. (2004). MIA 4.5 wins Lines of Action Tournament. ICGA Journal, Vol. 27, No. 3, pp. 174-175.

• Winands, M.H.M., Herik, H.J. van den, Hellemons, J.W. (2004). The 9^th Computer Olympiad. ICGA Journal, Vol. 27, No. 3, p. 168.

• Winands, M., van den Herik, H.J., and Hellemons, J.W. (2003). The 8^th Computer Olympiad. ICGA Journal, Vol. 26, No. 4, p. 260.

• Winands, M. (2003). MIA IV wins Lines of Action Tournament. ICGA Journal, Vol. 26, No. 4, pp. 264-265.

• Björnsson, Y. and Winands, M. (2002). YL wins Lines of Action Tournament. ICGA Journal, Vol. 25, No. 3, pp. 185-186.

• Winands, M. (2002). The 7^th Computer Olympiad. BNVKI Newsletter, Vol. 19, No. 5, pp. 105-107.

• Winands, M. (2001). The CMG 6^th Computer Olympiad and the Computer-Games Workshop. BNVKI Newsletter, Vol. 18, No. 5, pp. 115-118.

• Björnsson, Y. and Winands, M. (2001). YL wins Lines of Action Tournament. ICGA Journal, Vol. 24, No. 3, pp. 180-181.