TY - GEN
T1 - Dispatchable execution of schedules involving consumable resources
AU - Wallace, R. J.
AU - Freuder, E. C.
N1 - Publisher Copyright:
Copyright © 2000, AAAI (www.aaai.org). All rights reserved.
PY - 2000
Y1 - 2000
N2 - Earlier work on autonomous systems has demonstrated that schedules in the form of simple temporal networks, with intervals of values for possible eventtimes, can be made "dispatchable", i.e., executable incrementally in real time with guarantees against failure due to unfortunate event-time selections. In this work we show how dispatchability can be extended to networks that include constraints for consumable resources. We rst determine conditions under which a component of the network composed of resource constraints associated with a single sequence of activities that use a resource ("bout") will support dispatchability. Then we show how to handle interactions between resource and temporal subnetworks to insure dispatchability and how to handle sequences of bouts interspersed with resource release. The results show that exible handling of resource use can be safely extended to the execution layer for more eective deployment of consumable resources.
AB - Earlier work on autonomous systems has demonstrated that schedules in the form of simple temporal networks, with intervals of values for possible eventtimes, can be made "dispatchable", i.e., executable incrementally in real time with guarantees against failure due to unfortunate event-time selections. In this work we show how dispatchability can be extended to networks that include constraints for consumable resources. We rst determine conditions under which a component of the network composed of resource constraints associated with a single sequence of activities that use a resource ("bout") will support dispatchability. Then we show how to handle interactions between resource and temporal subnetworks to insure dispatchability and how to handle sequences of bouts interspersed with resource release. The results show that exible handling of resource use can be safely extended to the execution layer for more eective deployment of consumable resources.
UR - https://www.scopus.com/pages/publications/17444415189
M3 - Conference proceeding
AN - SCOPUS:17444415189
T3 - Proceedings of the 5th International Conference on Artificial Intelligence Planning Systems, AIPS 2000
SP - 283
EP - 290
BT - Proceedings of the 5th International Conference on Artificial Intelligence Planning Systems, AIPS 2000
PB - AAAI Press
T2 - 5th International Conference on Artificial Intelligence Planning Systems, AIPS 2000
Y2 - 14 April 2000 through 17 April 2000
ER -