Player Modeling Impact on Player’s Entertainment in Computer Games

  • Georgios N. Yannakakis
  • Manolis Maragoudakis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3538)


In this paper we introduce an effective mechanism for obtaining computer games of high interest (i.e. satisfaction for the player). The proposed approach is based on the interaction of a player modeling tool and a successful on-line learning mechanism from the authors’ previous work on prey/predator computer games. The methodology demonstrates high adaptability into dynamical playing strategies as well as reliability and justifiability to the game user.


Computer Game Bayesian Network Adaptability Test Conditional Probability Table Bayesian Network Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Charles, D., Black, M.: Dynamic player modelling: A framework for player-centric digital games. In: Proceedings of the International Conference on Computer Games: Artificial Intelligence, Design and Education, pp. 29–35 (2004)Google Scholar
  2. 2.
    Cheng, J., Greiner, R., Kelly, J., Bell, D.A., Liu, W.: Learning Bayesian Networks from Data: an Information-Theory Based Approach. The Artificial Intelligence Journal 137, 43–90 (2002)MATHCrossRefMathSciNetGoogle Scholar
  3. 3.
    Heckerman, D., Geiger, D., Chickering, D.M.: Learning Bayesian networks: the combination of knowledge and statistical data. Machine Learning 20, 197–243 (1995)MATHGoogle Scholar
  4. 4.
    Houlette, R.: Player Modeling for Adaptive Games. AI Game Programming Wisdom II, pp. 557–566. Charles River Media, Inc. (2004)Google Scholar
  5. 5.
    Pearl, J.: Probabilistic Reasoning in Intelligent Systems, Networks of Plausible Inference. Morgan Kaufmann Publishers, Inc., San Francisco (1988)Google Scholar
  6. 6.
    Yannakakis, G.N., Hallam, J.: Evolving Opponents for Interesting Interactive Computer Games. In: Proceedings of the 8th International Conference on Simulation of Adaptive Behavior, pp. 499–508. The MIT Press, Cambridge (2004)Google Scholar
  7. 7.
    Yannakakis, G.N., Hallam, J.: Interactive Opponents Generate Interesting Games. In: Proceedings of the International Conference on Computer Games: Artificial Intelligence, Design and Education, pp. 240–247 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Georgios N. Yannakakis
    • 1
  • Manolis Maragoudakis
    • 2
  1. 1.Centre for Intelligent Systems and their ApplicationsThe University of Edinburgh, ATUK
  2. 2.Wire Communication Lab, Electrical and Computer Engineering DepartmentUniversity of PatrasRioGreece

Personalised recommendations