Abstract
Capture the Flag is a well-known game mode that appears in numerous gaming platforms. It consists in a turn-based strategy game where players compete to capture the other team’s flag and return it to their base. In order to win, competitive teams must use a great deal of teamplay to generate a successful strategy. Both teams must defend the own base from incoming attackers and get into the other team’s base, then take the flag and go back home. The strategy will be a particular case of the well-known “exploration vs. exploitation dilemma” – a recurrent paradox that emerge in all systems that try to get a balance between two types of incompatible behaviors. In this paper, we will show how to apply a ”group strategy”, based on the “exploration vs. exploitation dilemma” that improves the behavior of a teamplay in a videogame platform.
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References
Gemrot, J., et al.: Pogamut 3 Can Assist Developers in Building AI (Not Only) for Their Videogame Agents. In: Dignum, F., Bradshaw, J., Silverman, B., van Doesburg, W. (eds.) Agents for Games and Simulations. LNCS (LNAI), vol. 5920, pp. 1–15. Springer, Heidelberg (2009)
Holland, J.: Adaptation in Natural and Artificial Systems. MIT Press (1992)
Thrun, S.B.: Efficient exploration in reinforcement learning. Technical Report CMU-CS-92-102, School of Computer Science, Carnegie Mellon University (1992)
Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)
Van Lent, L.J.E., Buckman, J., Hartford, J., Houchard, S., Steinkraus, K., Tedrake, R.: Intelligent Agents in Computer Games. In: Proceedings of the National Conference on Artificial Intelligence, Orlando, FL, pp. 929–930 (July 1999)
De Oliveira, D.F., Canuto, A.M.P., De Souto, M.C.P.: The diversity/accuracy dilemma: an empirical analysis in the context of heterogeneous ensembles. In: Proceedings of the Eleventh Conference on Congress on Evolutionary Computation (CEC 2009), pp. 939–946. IEEE Press, Piscataway (2009)
Lemke, A., Zilmer-Perdersen, L.: Virtual Evacuation Training using Interactive Cognitive Agents. Master’s Thesis. Technical University of Denmark (2008)
Busemeyer, T., Jessup, R.K., Johnson, J.G., Townsend, J.T.: Building bridges between neural models and complex decision making behaviour. Neural Netw. 19(8), 1047–1058 (2006)
Spivey, J.: The continuity of mind. Oxford University Press, New York (2007)
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Castillo, L.F., Bedia, M.G., Lopez, C., Seron, F.J., Isaza, G. (2014). Designing Strategies for Improving the Performance of Groups in Collective Environments. In: Omatu, S., Bersini, H., Corchado, J., Rodríguez, S., Pawlewski, P., Bucciarelli, E. (eds) Distributed Computing and Artificial Intelligence, 11th International Conference. Advances in Intelligent Systems and Computing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-07593-8_29
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DOI: https://doi.org/10.1007/978-3-319-07593-8_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07592-1
Online ISBN: 978-3-319-07593-8
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