Macau: A Basis for Evaluating Reputation Systems
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.
Cite
Text
Hazard and Singh. "Macau: A Basis for Evaluating Reputation Systems." International Joint Conference on Artificial Intelligence, 2013.Markdown
[Hazard and Singh. "Macau: A Basis for Evaluating Reputation Systems." International Joint Conference on Artificial Intelligence, 2013.](https://mlanthology.org/ijcai/2013/hazard2013ijcai-macau/)BibTeX
@inproceedings{hazard2013ijcai-macau,
title = {{Macau: A Basis for Evaluating Reputation Systems}},
author = {Hazard, Christopher J. and Singh, Munindar P.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2013},
pages = {191-197},
url = {https://mlanthology.org/ijcai/2013/hazard2013ijcai-macau/}
}