AIFeb 7, 2018
Reasoning in a Hierarchical System with Missing Group Size Information
arXiv:1802.04093v1
Originality Synthesis-oriented
AI Analysis
This addresses a specific issue in multi-agent systems, but appears incremental as it builds on known paradoxes without broad application.
The paper tackles the problem of preference reversals in hierarchical autonomous agent systems where higher-level agents lack group size information, proposing methods that reduce instances of Simpson's paradox.
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.