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/}
}