Resource-constrained Hierarchical Task Network planning under uncontrollable durations for emergency decision-making

Author:

Zhao Peng12,Qi Chao312,Liu Dian12

Affiliation:

1. School of Automation, Huazhong University of Science and Technology, Wuhan, China

2. MOE Key Laboratory of Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan, China

3. School of Management, Huazhong University of Science and Technology, Wuhan, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference46 articles.

1. Bridging the gap between planning and scheduling;Smith;The Knowledge Engineering Review,2000

2. Erol K. , Hendler J. and Nau D. , HTN Planning: Complexity and Expressivity, Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, Washington, USA, 1994, pp. 1123–1128.

3. Erol K. , Hendler J. and Nau D. , UMCP: A Sound and Complete Procedure for Hierarchical Task Network Planning, Proceedings of the 2nd International Conference on Artificial Intelligence Planning Systems, Chicago, Illinois, USA, 1994, pp. 249–254.

4. SIADEX: An Interactive Knowledge-Based Planner for Decision Support in Forest Fire Fighting;Asunción;AI Communications,2005

5. Biundo S. and Schattenberg B. , From Abstract Crisis to Concrete Relief: A Preliminary Report on Combining State Abstraction and HTN Planning, Proceedings of the 6th European Conference on Planning, Toledo, Spain, 2001, pp. 157–168.

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