AUTOPILOT: A Distributed Planner for Air Fleet Control
Proceedings of the Seventh International Joint Conference on Artificial Intelligence. Cognitive Science. Pages 171-176.
Abstract
Distributed planning requires both arc hitectures for structuring multiple planners and techniques for planning, communication, and co operation . We describe a family of systems for distributed control of multiple aircraft, in which eac h aircraft plans its own flight path and avoids collis ions with other aircraft. AUTOPILOT, the kernel planner used by each aircraft, comprises severa l processing "experts" that share a common world model. These experts sense the world, plan and evaluate flight paths, communicate with other aircra ft, and control plan execution . We discuss fo ur architectures for the distribution of airspace management and planning responsibility among the several aircraft occupying the airspace at any point in time . The architectures differ in the extent of cooperation and communication among aircraft.
@inproceedings{ijcai1981p36,
title = {AUTOPILOT: A Distributed Planner for Air Fleet Control},
author = {Thorndyke, Perry W. and McArtbur, Dave and Cammarata, Stephanie J.},
booktitle = {Proceedings of the Seventh International Joint Conference on
Artificial Intelligence, {IJCAI-81}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Roger C. Schank},
pages = {171--176},
year = {1981},
month = {8},
note = {Cognitive Science},
url = {https://ijcai.org/proceedings/1981/36},
}
TY - CPAPER TI - AUTOPILOT: A Distributed Planner for Air Fleet Control AU - Thorndyke, Perry W. AU - McArtbur, Dave AU - Cammarata, Stephanie J. T2 - Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81 PB - International Joint Conferences on Artificial Intelligence PY - 1981 SP - 171 EP - 176 UR - https://ijcai.org/proceedings/1981/36 ER -Copied
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