Incremental learning of control knowledge for nonlinear problem solving

Author:

Borrajo Daniel,Veloso Manuela

Publisher

Springer Berlin Heidelberg

Reference26 articles.

1. Jim Blythe and Manuela M. Veloso. An analysis of search techniques for a totally-ordered nonlinear planner. In Proceedings of the First International Conference on AI Planning Systems, College Park, MD, June 1992.

2. Daniel Borrajo, Juan P. Caraça-Valente, and José Luis Morant. Learning heuristics in planning. In Sixth International Conference on Systems Research, Informatics and Cybernetics, Baden-Baden, Germany, 1992.

3. Daniel Borrajo, Juan P. Caraça-Valente, and Juan Pazos. A knowledge compilation model for learning heuristics. In Proceedings of the Workshop on Knowledge Compilation of the 9th International Conference on Machine Learning, Scotland, 1992.

4. Daniel Borrajo and Manuela Veloso. Bounded explanation and inductive refinement for acquiring control knowledge. In Proceedings of the Third International Workshop on Knowledge Compilation and Speedup Learning, pages 21–27, Amherst, MA, June 1993.

5. Jaime G. Carbonell, and the PRODIGY Research Group. PRODIGY4.0: The manual and tutorial. Technical Report CMU-CS-92-150, School of Computer Science, Carnegie Mellon University, June 1992.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Planning and Learning: Put the User in the Loop;Advances in Artificial Intelligence;1998

2. Integrating planning and learning: the PRODIGY architecture;Journal of Experimental & Theoretical Artificial Intelligence;1995-01

3. Controlling a nonlinear hierarchical planner using case replay;Lecture Notes in Computer Science;1995

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