Shallow Planning and Recovery Planning Based on the Vertical Decomposition of the Flight Domain
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Planning and Search. Pages 1063-1064.
Abstract
This paper presents a planning architecture that can perform both planning and recovery planning in the complex and dynamic flight domain. The key to such a robust planner is the vertical decomposition of the domain knowledge where the flight domain is decomposed into four minidomains, each a model of the flight domain along some degree of global viewpoint. The decomposition of the flight domain into four nearly independent minidomsins and the explicit modeling of the different degrees of global viewpoint reduce the domain complexity geometrically. The vertical decomposition of the domain knowledge results in shallow planning and shallow recovery planning.
@inproceedings{ijcai1985p216,
title = {Shallow Planning and Recovery Planning Based on the Vertical Decomposition of the Flight Domain},
author = {Chen, David C.},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {1063--1064},
year = {1985},
note = {Planning and Search},
url = {https://ijcai.org/proceedings/1985/216},
}
TY - CPAPER TI - Shallow Planning and Recovery Planning Based on the Vertical Decomposition of the Flight Domain AU - Chen, David C. T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 1063 EP - 1064 UR - https://ijcai.org/proceedings/1985/216 ER -Copied
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