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Cooperative Learning by Replay Files in Real-Time Strategy Game

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6240))

Abstract

In real-time strategy game, the game artificial intelligence is not smart enough. That makes people feel boring. In this paper, we suggest a novel method about a cooperative learning of build-order improving the artificial intelligence in real-time strategy game in order to make games funny. We use the huge game replay file for it.

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References

  1. Ontanon, S., Misha, K., Sugandh, N., Ram, A.: Case-based Planning and Execution for Real-time Strategy Games. In: Weber, R.O., Richter, M.M. (eds.) ICCBR 2007. LNCS (LNAI), vol. 4626, pp. 164–178. Springer, Heidelberg (2007)

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© 2010 Springer-Verlag Berlin Heidelberg

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Kim, J., Yoon, K.H., Yoon, T., Lee, JH. (2010). Cooperative Learning by Replay Files in Real-Time Strategy Game. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. Lecture Notes in Computer Science, vol 6240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16066-0_7

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  • DOI: https://doi.org/10.1007/978-3-642-16066-0_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16065-3

  • Online ISBN: 978-3-642-16066-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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