Computing Reputation in the Art Context: Agent Design to Handle Negotiation Challenges

Multi-Agent Systems are societies in which autonomous and heterogeneous entities can work together to achieve similar or different goals. However, it is often a difficult task to perceive when an agent can be trusted to perform a specific negotia- tion. In other words, to establish its reputation. For that purpose, a number of models and strategies have been studied and proposed in the literature. The AAMAS Agent Reputation Trust (ART) Testbed competition has been created to make it possible to compare different strategies. This is achieved through an environment for agent-based simulation games. In the second edition of ART that took place in 2007, new models and strategies emerged that incorporated important research contributions to the field. In this paper, we provide the description of the main set of concerns that we took into consideration to create a competitive strategy for the second version of ART. We go beyond that by providing explanations for tested good strategies that permit compari- sons with the 2006 winning strategy.