Hierarchical task network planning: formalization, analysis, and implementation
Hierarchical task network planning: formalization, analysis, and implementation
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
Plan-Refinement Strategies and Search-Space Size
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Journal of Artificial Intelligence Research
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As integration processes have been intensified in the area of higher education, they should be supported by information technologies. A Combined Course Programmes (CCP) generation mechanism based on HTN planning was developed for a multi-agent system, managing the distributed e-Learning environment. The limitations of HTN planning were overcome by XACML policy language, that was used for specification of preconditions. This improves the expressiveness and facilitates planning in a multi-domain environment supported by different experts. In order to improve the effectiveness of HTN planning in the multi-domain hierarchical environment, a domain refinement technique was designed. Its efficiency gains were confirmed by experiments.