Case-based planning: viewing planning as a memory task
Case-based planning: viewing planning as a memory task
A validation-structure-based theory of plan modification and reuse
Artificial Intelligence
Partial-order planning: evaluating possible efficiency gains
Artificial Intelligence
Knowledge sharing for planning: the Knowledge Interchange Interface
ISATP '95 Proceedings of the 1995 IEEE International Symposium on Assembly and Task Planning
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Hierarchical plan merging with application to process planning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Early fault classification in dynamic systems using case-based reasoning
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Journal of Computational Methods in Sciences and Engineering
| Hi-index | 0.00 |
Abstract: Computer aided process planning is a key part of bridging the link between design and manufacturing. Case-based reasoning provides an attractive paradigm for process planning as it combines the generative and variant approaches and improves the effectiveness of the planner by applying old experiences to solving new planning problems. We present a new case-based planning methodology that extends the capability and effectiveness of previous approaches by incorporating the ability to learn new domain knowledge from other planners via an integrated knowledge sharing mechanism. In addition, our planner has the capability to use multiple cases in the process of constructing a new plan, providing more effective utilization of the planner's previous experiences. The planning algorithm is based on domain-independent partial-order planning, and provides a formal approach to case-based process planning.