To establish a formal reputation mechanism in a group, six conditions must be met: observable actions, information transmission, information persistence, repeat interaction or interdependence, shared evaluation criteria, and consequences based on reputation.
Reputation mechanisms for information-rich transactions should prioritize interpretation and context, while those for information-poor transactions must emphasize completeness and trust signals.
Reputation mechanisms for asset-specific transactions must prioritize long-term reliability and relationship signaling, while those for generic transactions can focus on short-term performance metrics and broad comparability.
Reputation mechanisms for spot transactions must focus on immediate trust cues, while mechanisms for repeated transactions should emphasize long-term behavioral consistency and relationship building.
Market transactions are structured by price and competition; non-market transactions rely on norms, roles, and relationships—so reputation must serve different goals in each.
When designing a reputation mechanism, what are the basic questions to consider?
We explore what happens if the higher reputation increases an agent’s probability to fulfill its promises.
What if fulfilling a promise increases an agent’s reputation? The framework in this text captures this idea.
The text presents a framework in which reputation is a function of promises between agents. The framework can be used to create a reputation mechanism to use in decision processes, in multi agent systems, and so on.
In a group, which factors influence the group’s perception of a decision maker’s reputation? How is that perception formed?
Which psychological factors influence the perceived motivation of a decision maker, why, and how?
Reputation is generally defined as the collective perceptions, evaluations, and beliefs that a social group holds about an individual, organization, or entity. How is decision making different if the decision maker has high or low reputation?