How computers play chess
Management Science
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)
Intelligent Autonomous Robotics: A Robot Soccer Case Study
Intelligent Autonomous Robotics: A Robot Soccer Case Study
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Analysis of a winning computational billiards player
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Hustling in repeated zero-sum games with imperfect execution
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
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In many AI settings an agent is comprised of both action-planning and action-execution components. We examine the relationship between the precision of the execution component, the intelligence of the planning component, and the overall success of the agent. Our motivation lies in determining whether higher execution skill rewards more strategic playing. We present a computational billiards framework in which the interaction between skill and strategy can be experimentally investigated. By comparing the performance of different agents with varying levels of skill and strategic intelligence we show that intelligent planning can contribute most to an agent's success when that agent has imperfect skill.