Constrained Decision Revision
Abstract
This paper synthesizes general constraint satisfaction and classical AI planning into a theory of incremental change that accounts for multiple objectives and contingencies. The hypothesis is that this is a new and useful paradigm for problem solving and re-solving. A truth maintenance-based architecture derived from the theory is useful for contingent assignment problems such as logistics planning.
Cite
Text
Petrie. "Constrained Decision Revision." AAAI Conference on Artificial Intelligence, 1992.Markdown
[Petrie. "Constrained Decision Revision." AAAI Conference on Artificial Intelligence, 1992.](https://mlanthology.org/aaai/1992/petrie1992aaai-constrained/)BibTeX
@inproceedings{petrie1992aaai-constrained,
title = {{Constrained Decision Revision}},
author = {Petrie, Charles J.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1992},
pages = {393-400},
url = {https://mlanthology.org/aaai/1992/petrie1992aaai-constrained/}
}