ONYX: An Architecture for Planning in Uncertain Environments
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 447-448.
Abstract
The ONYX program is designed to fill the need for planning in application areas where traditional planning methodology is difficult to apply. While the program being developed will assist with the planning of cancer therapy, its architecture is intended to be of use whenever goals are ill-specified, plan operators have uncertain effects, or tradeoffs and unresolvable conflicts occur between goals. We describe a planning process which uses strategic information and a mechanistic model of the domain. The process consists of three steps: (1) generate a small set of plausible plans based on current data, (2) simulate those plans to predict their possible consequences, and (3) based on the results of those simulations, rank the plans according to how well each meets the goals for the situation.
@inproceedings{ijcai1985p87,
title = {ONYX: An Architecture for Planning in Uncertain Environments},
author = {Langlotz, Curtis P. and Fagan, Lawrence M. and Tu, Samson W. and Williams, John and Sikic, Branimir},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {447--448},
year = {1985},
note = {Knowledge Representation},
url = {https://ijcai.org/proceedings/1985/87},
}
TY - CPAPER TI - ONYX: An Architecture for Planning in Uncertain Environments AU - Langlotz, Curtis P. AU - Fagan, Lawrence M. AU - Tu, Samson W. AU - Williams, John AU - Sikic, Branimir T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 447 EP - 448 UR - https://ijcai.org/proceedings/1985/87 ER -Copied
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