TY - JOUR
T1 - Hierarchical Plan Merging with Application to Process Planning
AU - Britanik, J.
AU - Marefat, M.
N1 - Funding Information:
*The support of this work by the NSF under grant 9210018 to Dr. Marefat is gratefully appreciated.
Publisher Copyright:
© 1995 International Joint Conferences on Artificial Intelligence. All rights reserved.
PY - 1995
Y1 - 1995
N2 - We have developed a domain-independent systematic methodology for plan merging at the various levels of plan abstraction. This method manifests itself in the hierarchical plan graph where each level contains a complete, partially merged plan. The principle advantage of this approach is that, once external interactions between nodes on a given level have been established, the continued merging of the plan fragments in one node can take place independently of plan fragments in other nodes on that level. This provides a decomposition or divide-andconquer approach to plan merging. Another advantage to this decomposition approach is that replanning effort is minimized in the presence of the selection of alternative actions at some level of the hierarchical plan graph. Only those plan fragments which are in the same branch as the alternative selection need be considered for replannmg. Also, an algorithm ts proposed which takes a bilateral approach to breaking cyclic dependencies between nodes in the hierarchical plan graph. We demonstrate the utility of this hierarchical approach to plan merging through examples in the process planning domain.
AB - We have developed a domain-independent systematic methodology for plan merging at the various levels of plan abstraction. This method manifests itself in the hierarchical plan graph where each level contains a complete, partially merged plan. The principle advantage of this approach is that, once external interactions between nodes on a given level have been established, the continued merging of the plan fragments in one node can take place independently of plan fragments in other nodes on that level. This provides a decomposition or divide-andconquer approach to plan merging. Another advantage to this decomposition approach is that replanning effort is minimized in the presence of the selection of alternative actions at some level of the hierarchical plan graph. Only those plan fragments which are in the same branch as the alternative selection need be considered for replannmg. Also, an algorithm ts proposed which takes a bilateral approach to breaking cyclic dependencies between nodes in the hierarchical plan graph. We demonstrate the utility of this hierarchical approach to plan merging through examples in the process planning domain.
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M3 - Conference article
AN - SCOPUS:84898683565
SN - 1045-0823
VL - 2
SP - 1677
EP - 1683
JO - IJCAI International Joint Conference on Artificial Intelligence
JF - IJCAI International Joint Conference on Artificial Intelligence
T2 - 14th International Joint Conference on Artificial Intelligence, IJCAI 1995
Y2 - 20 August 1995 through 25 August 1995
ER -