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.
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
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)
Kovarsky, A., Buro, M.: A First Look at Build-order Optimization in Real-time Strategy Games. In: The Proc. of the Game on Conference, pp. 18–22 (2006)
Lee, S.H., Huh, J.Y., Joh, Y.K., Hong, J.M.: Programming Method for Improving Performance of Artificial Intelligence on StraCraft. In: The Proc. of the Korea Game Society Winter Conference, pp. 141–146 (2006)
Buro, M.: Real-time Strategy Gaines: A New AI Research Challenge. In: The Proc. of the 18th International Joint Conference on Artificial Intelligence, pp. 1534–1535 (2003)
Weber, B.G., Mateas, M.: Case-based Reasoning for Build-order in Real-time Strategy Games. In: The Proc. of the 24rd AAAI Conference on Artificial Intelligence, pp. 1313–1318 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)