Macau: A Basis for Evaluating Reputation Systems
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.
@inproceedings{ijcai2013p38,
title = {Macau: A Basis for Evaluating Reputation Systems},
author = {Hazard, Christopher J. and Singh, Munindar P.},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {191--196},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/38},
}
TY - CPAPER TI - Macau: A Basis for Evaluating Reputation Systems AU - Hazard, Christopher J. AU - Singh, Munindar P. T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 191 EP - 196 UR - https://ijcai.org/proceedings/2013/38 ER -Copied
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