Pitfalls of agent-oriented development
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A demonstration of the Agent Reputation and Trust (ART): testbed for experimentation and competition
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Learning trust strategies in reputation exchange networks
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
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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 negotiation. 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 and third edition of ART that took place in 2007 and 2008, 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 competitive strategies for such versions of ART.