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» Improving Artificial Intelligence In a Motocross Game
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AIIDE
2009
15 years 26 days ago
Improving Offensive Performance Through Opponent Modeling
Although in theory opponent modeling can be useful in any adversarial domain, in practice it is both difficult to do accurately and to use effectively to improve game play. In thi...
Kennard Laviers, Gita Sukthankar, David W. Aha, Ma...
ATAL
2006
Springer
15 years 3 months ago
Reducing price fluctuation in continuous double auctions through pricing policy and shout improvement
Auction mechanism design is a subfield of game theory dedicated to manipulating the rules of an auction so as to achieve specific goals. The complexity of the dynamics of auctions...
Jinzhong Niu, Kai Cai, Simon Parsons, Elizabeth Sk...
AIIDE
2006
15 years 1 months ago
The NERO Video Game
In most modern video games, character behavior is scripted; no matter how many times the player exploits a weakness, that weakness is never repaired. Yet if game characters could ...
Kenneth O. Stanley, Igor Karpov, Risto Miikkulaine...
FLAIRS
2010
15 years 2 months ago
Applying Goal Driven Autonomy to a Team Shooter Game
Dynamic changes in complex, real-time environments, such as modern video games, can violate an agent's expectations. We describe a system that responds competently to such vi...
Hector Muñoz-Avila, David W. Aha, Ulit Jaid...
AIIDE
2008
15 years 2 months ago
Stochastic Plan Optimization in Real-Time Strategy Games
We present a domain independent off-line adaptation technique called Stochastic Plan Optimization for finding and improving plans in real-time strategy games. Our method is based ...
Andrew Trusty, Santiago Ontañón, Ash...