Player Modeling Impact on Player’s Entertainment in Computer Games

Author:

Yannakakis Georgios N.,Maragoudakis Manolis

Publisher

Springer Berlin Heidelberg

Reference7 articles.

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)

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)

3. Heckerman, D., Geiger, D., Chickering, D.M.: Learning Bayesian networks: the combination of knowledge and statistical data. Machine Learning 20, 197–243 (1995)

4. Houlette, R.: Player Modeling for Adaptive Games. AI Game Programming Wisdom II, pp. 557–566. Charles River Media, Inc. (2004)

5. Pearl, J.: Probabilistic Reasoning in Intelligent Systems, Networks of Plausible Inference. Morgan Kaufmann Publishers, Inc., San Francisco (1988)

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