A Reputation System for Multi-Agent Marketplaces

TL;DR

This paper explores a reputation system for multi-agent marketplaces that uses transaction-weighted ratings to enhance security and accurately assess participant qualities, supported by simulation results.

Contribution

It introduces a simulation-based approach to evaluate a reputation system that weights ratings by transaction values, aiming to improve security and fairness.

Findings

Reputation system can effectively reduce scams.

Weighted ratings improve accuracy of participant assessment.

Simulation demonstrates potential benefits of the proposed system.

Abstract

We present an exploration of a reputation system based on explicit ratings weighted by the values of corresponding financial transactions from the perspective of its ability to grant "security" to market participants by protecting them from scam and "equity" in terms of having real qualities of the participants correctly assessed. We present a simulation modeling approach based on the selected reputation system and discuss the results of the simulation.