Quantifying Agent Strategies under Reputation

12 years 7 months ago
Quantifying Agent Strategies under Reputation
Our research proposes a simple buyer/seller game that captures the incentives dictating the interaction between peers in resource trading peer-to-peer networks. We prove that for simple reputation-based buyer strategies, a seller’s decision whether to cheat or not is dependent only on the length of its transaction history, not on the particular actions committed. Given a finite number of transactions, a peer can compute a utility optimal sequence of cooperations and defections. With the limited information provided by many reputation systems, a peer has incentive to defect on a large fraction of its transactions. If temporal information is used, equilibrium is reached when peers predominantly cooperate.
Sergio Marti, Hector Garcia-Molina
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where P2P
Authors Sergio Marti, Hector Garcia-Molina
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