Arguing for Decisions: A Qualitative Model of Decision Making
Abstract
We develop a qualitative model of decision making with two aims: to describe how people make simple decisions and to enable computer programs to do the same. Current approaches based on Planning or Decision Theory either ignore uncertainty and tradeoffs, or provide languages and algorithms that are too complex for this task. The proposed model provides a language based on rules, a semantics based on high probabilities and lexicographical preferences, and a transparent decision procedure where reasons for and against decisions interact. The model is no substitute for Decision Theory, yet for decisions that people find easy to explain it may provide an appealing alternative.
Cite
Text
Bonet and Geffner. "Arguing for Decisions: A Qualitative Model of Decision Making." Conference on Uncertainty in Artificial Intelligence, 1996.Markdown
[Bonet and Geffner. "Arguing for Decisions: A Qualitative Model of Decision Making." Conference on Uncertainty in Artificial Intelligence, 1996.](https://mlanthology.org/uai/1996/bonet1996uai-arguing/)BibTeX
@inproceedings{bonet1996uai-arguing,
title = {{Arguing for Decisions: A Qualitative Model of Decision Making}},
author = {Bonet, Blai and Geffner, Hector},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1996},
pages = {98-105},
url = {https://mlanthology.org/uai/1996/bonet1996uai-arguing/}
}