Vidal's libraryTitle: | A Dynamic Pricing Mechanism for P2P Referral Systems |
Author: | Bin Yu, Cuihong Li, Munindar P. Singh, and Katia Sycara |
Book Tittle: | Proceedings of Third International Joint Conference on Autonomous Agents and Multi-Agent Systems |
Pages: | 1426--1427 |
Year: | 2004 |
Abstract: | Most existing research on peer-to-peer systems focuses on protocol design. In this paper, we consider the issue of free riding in peer-to-peer referral systems. Free riders are agents that refuse either to answer a query or to give referrals. Free riding is detrimental to the system, since it may prevent requesters from finding high quality providers efficiently. To mitigate the issue of free riding, we propose a dynamic pricing mechanism to motivate the agents to behave rationally. Service providers learn appropriate prices of referrals and answers in order to maximize their payoffs through stochastic iterative learning algorithms. |
Cited by 3 - Google Scholar
@InProceedings{yu04b,
author = {Bin Yu and Cuihong Li and Munindar P. Singh and
Katia Sycara},
title = {A Dynamic Pricing Mechanism for P2P Referral
Systems},
booktitle = {Proceedings of Third International Joint Conference
on Autonomous Agents and Multi-Agent Systems},
pages = {1426--1427},
year = 2004,
abstract = {Most existing research on peer-to-peer systems
focuses on protocol design. In this paper, we
consider the issue of free riding in peer-to-peer
referral systems. Free riders are agents that refuse
either to answer a query or to give referrals. Free
riding is detrimental to the system, since it may
prevent requesters from finding high quality
providers efficiently. To mitigate the issue of free
riding, we propose a dynamic pricing mechanism to
motivate the agents to behave rationally. Service
providers learn appropriate prices of referrals and
answers in order to maximize their payoffs through
stochastic iterative learning algorithms.},
url = {http://jmvidal.cse.sc.edu/library/yu04b.pdf},
googleid = {9S0m5ngwnfYJ:scholar.google.com/},
cluster = {17770413000489315829}
}
Last modified: Wed Mar 9 10:16:15 EST 2011