A standard form of citation of this article is:
Schlosser, Andreas, Voss, Marco and Brückner, Lars (2005). 'On the Simulation of Global Reputation Systems'. Journal of Artificial Societies and Social Simulation 9(1)4 <https://www.jasss.org/9/1/4.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{schlosser2005,
title = {On the Simulation of Global Reputation Systems},
author = {Schlosser, Andreas and Voss, Marco and Br\"{u}ckner, Lars},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {9},
number = {1},
pages = {4},
year = {2005},
URL = {https://www.jasss.org/9/1/4.html},
keywords = {Reputation System, Trust, Formalization, Simulation},
abstract = {Reputation systems evolve as a mechanism to build trust in virtual communities. In this paper we evaluate different metrics for computing reputation in multi-agent systems. We present a formal model for describing metrics in reputation systems and show how different well-known global reputation metrics are expressed by it. Based on the model a generic simulation framework for reputation metrics was implemented. We used our simulation framework to compare different global reputation systems to find their strengths and weaknesses. The strength of a metric is measured by its resistance against different threat-models, i.e. different types of hostile agents. Based on our results we propose a new metric for reputation systems.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - On the Simulation of Global Reputation Systems
AU - Schlosser, Andreas
AU - Voss, Marco
AU - Brückner, Lars
Y1 - 2005/01/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 9
IS - 1
SP - 4
UR - https://www.jasss.org/9/1/4.html
KW - Reputation System
KW - Trust
KW - Formalization
KW - Simulation
N2 - Reputation systems evolve as a mechanism to build trust in virtual communities. In this paper we evaluate different metrics for computing reputation in multi-agent systems. We present a formal model for describing metrics in reputation systems and show how different well-known global reputation metrics are expressed by it. Based on the model a generic simulation framework for reputation metrics was implemented. We used our simulation framework to compare different global reputation systems to find their strengths and weaknesses. The strength of a metric is measured by its resistance against different threat-models, i.e. different types of hostile agents. Based on our results we propose a new metric for reputation systems.
ER -