loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04)
New York City, New York, USA
July 19-July 23
ISBN: 0-7695-2092-8
Bin Yu, Carnegie Mellon University
Cuihong Li, Carnegie Mellon University
Munindar P. Singh, North Carolina State University
Katia Sycara, Carnegie Mellon University
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.
Citation:
Bin Yu, Cuihong Li, Munindar P. Singh, Katia Sycara, "A Dynamic Pricing Mechanisms for P2P Referral Systems," aamas, vol. 3, pp.1426-1427, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.