Abstract
In standard fighting videogames, since opponents controlled by computers are in a rut, the user has learned their behaviors after long play and gets bored. Thus we propose an adapting opponent with three subagent architecture that adapts to the level of the user by reinforcement learning. The opponent was evaluated by human users by comparing it against static opponents.
This is a preview of subscription content, log in via an institution to check access.
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
Adams, E.: Fundamentals of Game Design, 2nd edn. New Riders, Berkeley (2009)
Arai, S., Sycara, K.: Effective learning approach for planning and scheduling in multi-agent domain. In: Proc. of the 6th International Conference on Simulation of Adaptive Behavior, pp. 507–516 (2000)
Graepel, T., Herbrich, R., Gold, J.: Learning to fight. In: Proc. of the International Conference on Computer Games: Artificial Intelligence, Design and Education, pp. 193–200 (2004)
Ortiz, S., Moriyama, K., Matsumoto, M., Fukui, K., Kurihara, S., Numao, M.: Road to an interesting opponent: An agent that predicts the users combination attacks in a fighting videogame. In: Proc. of the Human-Agent Interaction Symposium (2009)
Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. MIT Press, Cambridge (1998)
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
Ortiz B., S.E., Moriyama, K., Fukui, Ki., Kurihara, S., Numao, M. (2010). Three-Subagent Adapting Architecture for Fighting Videogames. In: Zhang, BT., Orgun, M.A. (eds) PRICAI 2010: Trends in Artificial Intelligence. PRICAI 2010. Lecture Notes in Computer Science(), vol 6230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15246-7_64
Download citation
DOI: https://doi.org/10.1007/978-3-642-15246-7_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15245-0
Online ISBN: 978-3-642-15246-7
eBook Packages: Computer ScienceComputer Science (R0)