---
title: "Macau: A Basis for Evaluating Reputation Systems"
authors:
  - "Christopher J. Hazard"
  - "Munindar P. Singh"
doi: ""
url: "https://ijcai.org/proceedings/2013/38"
pdf: "https://ijcai.org/proceedings/2013/0038.pdf"
venue: "Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence"
year: 2013
pages: "191-196"
track: ""
keywords:
---

# Macau: A Basis for Evaluating Reputation Systems

Christopher J. Hazard, Munindar P. Singh

*Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence*, pages 191-196.

## Abstract

Reputation is a crucial concept in dynamic multiagent environments. Despite the large body of work on reputation systems, no metrics exist to directly and quantitatively evaluate and compare them. We present a common conceptual interface for reputation systems and a set of four measurable desiderata that are broadly applicable across multiple domains. These desiderata employ concepts from dynamical systems theory to measure how a reputation system reacts to a strategic agent attempting to maximize its own utility. We study a diverse set of well-known reputation models from the literature in a moral hazard setting and identify a rich variety of characteristics that they support.