Personalized Decision Making -- A Conceptual Introduction
Artificial Intelligence
2022-08-23 v1 Logic in Computer Science
Methodology
Abstract
Personalized decision making targets the behavior of a specific individual, while population-based decision making concerns a sub-population resembling that individual. This paper clarifies the distinction between the two and explains why the former leads to more informed decisions. We further show that by combining experimental and observational studies we can obtain valuable information about individual behavior and, consequently, improve decisions over those obtained from experimental studies alone.
Cite
@article{arxiv.2208.09558,
title = {Personalized Decision Making -- A Conceptual Introduction},
author = {Scott Mueller and Judea Pearl},
journal= {arXiv preprint arXiv:2208.09558},
year = {2022}
}