Player modeling impact on player's entertainment in computer games

Authors:
Georgios N. Yannakakis;Manolis Maragoudakis
Affiliations:
Centre for Intelligent Systems and their Applications, The University of Edinburgh, AT, UK;Wire Communication Lab, Electrical and Computer Engineering Department, University of Patras, Rio, Greece
Venue:
UM'05 Proceedings of the 10th international conference on User Modeling
Year:
2005

Citing 3
Cited 8

Probabilistic reasoning in intelligent systems: networks of plausible inference

Probabilistic reasoning in intelligent systems: networks of plausible inference
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

Machine Learning
Learning Bayesian networks from data: an information-theory based approach

Artificial Intelligence

TOWARDS OPTIMIZING ENTERTAINMENT IN COMPUTER GAMES

Applied Artificial Intelligence
A combined tactical and strategic hierarchical learning framework in multi-agent games

Sandbox '08 Proceedings of the 2008 ACM SIGGRAPH symposium on Video games
Player Modeling for Intelligent Difficulty Adjustment

DS '09 Proceedings of the 12th International Conference on Discovery Science
Player modeling using self-organization in tomb raider: underworld

CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Personalized, adaptive digital educational games using narrative game-based learning objects

Edutainment'10 Proceedings of the Entertainment for education, and 5th international conference on E-learning and games
Tactical agent personality

International Journal of Computer Games Technology
Game AI revisited

Proceedings of the 9th conference on Computing Frontiers
Experience Assessment and Design in the Analysis of Gameplay

Simulation and Gaming

Quantified Score

Hi-index	0.01

Visualization

Abstract

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.