O-Plan: control in the open planning architecture
Proc. of the fifth technical conference of the British Computer Society Specialist Group on Expert Systems on Expert systems 85
HTN planning: complexity and expressivity
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Best-first minimax search: Othello results
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
A planning approach to declarer play in contract bridge
A planning approach to declarer play in contract bridge
Task-network planning using total-order forward search, and applications to bridge and to microwave module manufacture
Integrating electrical and mechanical design and process planning
Proceedings of the IFIP TC5/WG5.2 international conference on Knowledge intensive CAD volume 2
Plan-Refinement Strategies and Search-Space Size
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Total-order multi-agent task-network planning for contract bridge
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Commitment strategies in hierarchical task network planning
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Control strategies in HTN planning: theory versus practice
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Machine Learning
Journal of Artificial Intelligence Research
Learning without human expertise: a case study of the double dummy bridge problem
IEEE Transactions on Neural Networks
Adversarial reasoning under uncertainty using a deterministic planner
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
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The latest world-championship competition for computer bridge programs was the Baron Barclay World Bridge Computer Challenge, hosted in July 1997 by the American Contract Bridge League. As reported in The New York Times and The Washington Post, the competition's winner was a new version of Great Game Products' Bridge Baron program. This version, Bridge Baron 8, has since gone on the market; and during the last three months of 1997 it was purchased by more than 1000 customers.The Bridge Baron's success also represents a significant success for research on AI planning systems, because Bridge Baron 8 uses Hierarchical Task-Network (HTN) planning techniques to plan its declarer play. This paper gives an overview of those techniques and how they are used.