Least-cost flaw repair: a plan refinement strategy for partial-order planning
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Hybrid planning for partially hierarchical domains
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
SHOP: Simple Hierarchical Ordered Planner
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Plan-Refinement Strategies and Search-Space Size
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
An Argument for a Hybrid HTN/Operator-Based Approach to Planning
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
Accelerating partial-order planners: some techniques for effective search control and pruning
Journal of Artificial Intelligence Research
On the Construction and Evaluation of Flexible Plan-Refinement Strategies
KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
Plan Repair in Hybrid Planning
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
A unifying framework for hybrid planning and scheduling
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Landmarks in Hierarchical Planning
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Advanced user assistance based on AI planning
Cognitive Systems Research
| Hi-index | 0.00 |
In this paper we present a highly modular planning system architecture. It is based on a proper formal account of hybrid planning, which allows for the formal definition of (flexible) planning strategies. Groups of modules for flaw detection and plan refinement provide the basic functionalities of a planning system. The concept of explicit strategy modules serves to formulate and implement strategies that orchestrate the basic modules. This way a variety of fixed plan generation procedures as well as novel flexible planning strategies can easily be implemented and evaluated. We present a number of such strategies and show some first comparative performance results.