How computers play chess
Artificial Intelligence - Chips challenging champions: games, computers and Artificial Intelligence
Robot Motion Planning
Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition (Intelligent Robotics and Autonomous Agents)
PickPocket: A computer billiards shark
Artificial Intelligence
Intelligent Autonomous Robotics: A Robot Soccer Case Study
Intelligent Autonomous Robotics: A Robot Soccer Case Study
Success, strategy and skill: an experimental study
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
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We discuss CUECARD, the program that won the 2008 Computer Olympiad computational pool tournament. Beside addressing intrinsic interest in a complex competitive environment with unique features, our goal is to isolate the factors that contributed to the performance so that the lessons can be transferred to other, similar domains. Specifically, we distinguish among pure engineering factors (such as using a computer cluster), domain-specific factors (such as optimized break shots), and domain-independent factors (such as state clustering). Our conclusion is that each type of factor contributed to the performance of the program.