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» Applying Inexpensive AI Techniques to Computer Games
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106
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AI
2002
Springer
14 years 9 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
DIGRA
2005
Springer
15 years 3 months ago
Extending Soft Models to Game Design: Flow, Challenges and Conflicts
Challenge and conflict are elements that all game designers strive to engineer into their games. Research shows that challenge is what drives a high proportion of games players ye...
Abdennour El Rhalibi, Martin Hanneghan, Stephen Ta...
IWEC
2004
14 years 11 months ago
TEAM: The Team-Oriented Evolutionary Adaptability Mechanism
Many commercial computer games allow a team of players to match their skills against another team, controlled by humans or by the computer. Most players prefer human opponents, sin...
Sander Bakkes, Pieter Spronck, Eric O. Postma
75
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CIG
2005
IEEE
15 years 3 months ago
An Evolutionary Approach to Strategies for the Game of Monopoly
The game of Monopoly® is a turn-based game of chance with a substantial element of skill. Though much of the outcome of any single game is determined by the rolling of dice, an ef...
Colin Frayn
IWEC
2004
14 years 11 months ago
Enhancing the Performance of Dynamic Scripting in Computer Games
Unsupervised online learning in commercial computer games allows computer-controlled opponents to adapt to the way the game is being played. As such it provides a mechanism to deal...
Pieter Spronck, Ida G. Sprinkhuizen-Kuyper, Eric O...