A Reactive Planner for a Model-based Executive
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Planning and Scheduling. Pages 1178-1184.
Abstract
A new generation of reactive, model-based executives are emerging that make extensive use of componentbased declarative models to analyze anomalous situations and generate novel sequences for the internal control of complex autonomous systems. Burton, a generative, model-based planner offers a core element that bridges the gap between current and target states within the reactive loop. Burton is a sound, complete, reactive planner that generates a single control action of a valid plan in average case constant time, and compensates for anomalies at every step. Burton will not generate irreversible, potentially damaging sequences, except to effect repairs. We present model compilation, causal analysis, and online policy construction methods that are key to Burton's performance.
@inproceedings{ijcai1997p170,
title = {A Reactive Planner for a Model-based Executive},
author = {Williams, Brian C. and Nayak, P. Pandurang},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {1178--1184},
year = {1997},
note = {Planning and Scheduling},
url = {https://ijcai.org/proceedings/1997/170},
}
TY - CPAPER TI - A Reactive Planner for a Model-based Executive AU - Williams, Brian C. AU - Nayak, P. Pandurang T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 1178 EP - 1184 UR - https://ijcai.org/proceedings/1997/170 ER -Copied
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