Abstract
This work presents the results obtained from comparing different tree depths in a Genetic Programming Algorithm to create agents that play the Planet Wars game. Three different maximum levels of the tree have been used (3, 7 and Unlimited) and two bots available in the literature, based on human expertise, and optimized by a Genetic Algorithm have been used for training and comparison. Results show that in average, the bots obtained using our method equal or outperform the previous ones, being the maximum depth of the tree a relevant parameter for the algorithm.
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References
Lara-Cabrera, R., Cotta, C., Fernández-Leiva, A.J.: A procedural balanced map generator with self-adaptive complexity for the real-time strategy game planet wars. In: Esparcia-Alcázar, A.I. (ed.) EvoApplications 2013. LNCS, vol. 7835, pp. 274–283. Springer, Heidelberg (2013)
Mora, A.M., Fernández-Ares, A., Guervós, J.J.M., García-Sánchez, P., Fernandes, C.M.: Effect of noisy fitness in real-time strategy games player behaviour optimisation using evolutionary algorithms. J. Comput. Sci. Technol. 27(5), 1007–1023 (2012)
Fernández-Ares, A., García-Sánchez, P., Mora, A.M., Guervós, J.J.M.: Adaptive bots for real-time strategy games via map characterization. In: 2012 IEEE Conference on Computational Intelligence and Games, CIG 2012, Granada, Spain, September 11–14, pp. 417–721. IEEE (2012)
Koza, J.R.: Genetically breeding populations of computer programs to solve problems in artificial intelligence. In: Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, pp. 819–827 (1990)
Garcia-Sanchez, P., Merelo, J.J., Laredo, J.L.J., Mora, A.M., Castillo, P.A.: Evolving xslt stylesheets for document transformation. In: Rudolph, G., Jansen, T., Lucas, S., Poloni, C., Beume, N. (eds.) PPSN 2008. LNCS, vol. 5199, pp. 1021–1030. Springer, Heidelberg (2008)
Lara-Cabrera, R., Cotta, C., Fernández-Leiva, A.J.: A review of computational intelligence in rts games. In: FOCI, pp. 114–121. IEEE (2013)
Esparcia-Alcázar, A.I., García, A.I.M., García, A.M., Guervós, J.J.M., García-Sánchez, P.: Controlling bots in a first person shooter game using genetic algorithms. In: IEEE Congress on Evolutionary Computation, pp. 1–8. IEEE (2010)
Stanley, K.O., Bryant, B.D., Miikkulainen, R.: Real-time neuroevolution in the nero video game. In: IEEE Transactions on Evolutionary Computation, pp. 653–668 (2005)
Mahlmann, T., Togelius, J., Yannakakis, G.N.: Spicing up map generation. In: Di Chio, C., et al. (eds.) EvoApplications 2012. LNCS, vol. 7248, pp. 224–233. Springer, Heidelberg (2012)
Sipper, M., Azaria, Y., Hauptman, A., Shichel, Y.: Designing an evolutionary strategizing machine for game playing and beyond. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 37(4), 583–593 (2007)
Elyasaf, A., Hauptman, A., Sipper, M.: Evolutionary design of freecell solvers. IEEE Transactions on Computational Intelligence and AI in Games 4(4), 270–281 (2012)
Benbassat, A., Sipper, M.: Evolving both search and strategy for reversi players using genetic programming, 47–54 (2012)
Brandstetter, M., Ahmadi, S.: Reactive control of ms. pac man using information retrieval based on genetic programming, 250–256 (2012)
Wittkamp, M., Barone, L., While, L.: A comparison of genetic programming and look-up table learning for the game of spoof, 63–71 (2007)
Esparcia-Alcázar, A.I., Moravec, J.: Fitness approximation for bot evolution in genetic programming. Soft Computing 17(8), 1479–1487 (2013)
García-Sánchez, P., González, J., Castillo, P.A., Arenas, M.G., Guervós, J.J.M.: Service oriented evolutionary algorithms. Soft Comput. 17(6), 1059–1075 (2013)
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García-Sánchez, P., Fernández-Ares, A., Mora, A.M., Castillo, P.A., González, J., Guervós, J.J.M. (2014). Tree Depth Influence in Genetic Programming for Generation of Competitive Agents for RTS Games. In: Esparcia-Alcázar, A., Mora, A. (eds) Applications of Evolutionary Computation. EvoApplications 2014. Lecture Notes in Computer Science(), vol 8602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45523-4_34
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DOI: https://doi.org/10.1007/978-3-662-45523-4_34
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