Reasoning in a Hierarchical System with Missing Group Size Information

TL;DR

This paper addresses hierarchical decision-making where higher-level agents lack group size data, proposing methods to reduce preference reversals caused by Simpson's paradox in autonomous systems.

Contribution

It introduces novel methods to mitigate preference reversals in hierarchical systems without access to group size information.

Findings

Methods effectively reduce preference reversals.

Addresses issues related to Simpson's paradox.

Enhances decision consistency in hierarchical systems.

Abstract

The paper analyzes the problem of judgments or preferences subsequent to initial analysis by autonomous agents in a hierarchical system where the higher level agents does not have access to group size information. We propose methods that reduce instances of preference reversal of the kind encountered in Simpson's paradox.