A REPUTATION BASED NEGOTIATION MODEL FOR BARTER TRANSACTIONS BETWEEN SOFTWARE AGENTS
The interactions between parties within large open systems are driven by trust. A major component in building trust is represented by reputation. When the trust value of a target agent, computed by its partner based on previous experience, and the reputation it has been assigned are different, an agreement is reached by negotiation. This paper describes a normative multiagent system and proposes a negotiation model where reputation represents the leverage that ensures norm enforcement. The negotiation framework is comprised of a marketplace using barter exchanges. Based on this model, the paper shows how self-interested agents manage to establish cooperation relationships in order to accomplishing their goals, being aware of the influence that reputation has on the costs of future transactions.
reputation negotiation trust multiagent systems