Computational Models Based on Forgiveness Mechanism for Untrustworthy Agents

Abstract

In online communities like e-marketplaces, the success of business transactions only refers to the cooperation between reputable business agents. While untrustworthy agents will never have an opportunity and are enforced to leave the systems even they are potential to cooperate. In this study, we propose computational models of an exploration strategy based on forgiveness mechanism for potential untrustworthy agents to recover their reputation. The implementation of this mechanism is centralized in nature. Therefore, it can incorporate with existing reputation systems to improve the efficiency of online trading.