Adaptive Control of Acyclic Progressive Processing Task Structures
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. Pages 701-705.
Abstract
The progressive processing model allows a system to trade off resource consumption against the quality of the outcome by mapping each activity to a graph of potential solution methods. In the past, only semi-linear graphs have been used. We examine the application of the model to control the operation of an autonomous rover which operates under tight resource constraints. The task structure is generalized to directed acyclic graphs for which the optimal schedule can be computed by solving a corresponding Markov decision problem. We evaluate the complexity of the solution analytically and experimentally and show that it provides a practical approach to building an adaptive controller for this application.
@inproceedings{ijcai2001p96,
title = {Adaptive Control of Acyclic Progressive Processing Task Structures},
author = {Cardon, Stéphane and Mouaddib, Abdel-Illah and Zilberstein, Shlomo and Washington, Richard},
booktitle = {Proceedings of the Seventeenth International Joint Conference on
Artificial Intelligence, {IJCAI-01}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {701--705},
year = {2001},
url = {https://ijcai.org/proceedings/2001/96},
}
TY - CPAPER TI - Adaptive Control of Acyclic Progressive Processing Task Structures AU - Cardon, Stéphane AU - Mouaddib, Abdel-Illah AU - Zilberstein, Shlomo AU - Washington, Richard T2 - Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01 PB - International Joint Conferences on Artificial Intelligence PY - 2001 SP - 701 EP - 705 UR - https://ijcai.org/proceedings/2001/96 ER -Copied
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