Rational Coordination in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
Rational Communication in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
A Trust/Honesty Model with Adaptive Strategy for Multiagent Semi-Competitive Environments
Autonomous Agents and Multi-Agent Systems
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This paper introduces rational communication among agents in a multi-agent semi-competitive environment. In such an environment, agents are in competition in some aspects, while cooperation can sometimes increase agents' utilities, and agents have incentives to be dishonest. Therefore, agents need to decide whether or not, and to what degree, to trust other agents. This paper extends and applies the Recursive Modeling Method of Gmytrasiewicz and Durfee, and illustrates how an agent models its knowledge, how it uses these models to make decisions on its actions, whether to lie to its listeners, and whether to trust the message senders as well as individual messages. In addition, this paper introduces the new concept of degree of trustworthiness of agents, which mimics the model in human interactions. Furthermore, this paper discusses the relations between an agent's attitude towards risk and the agent's trust in individual messages after considering the senders' trustworthiness and the expected utility of trusting the messages. Some interesting examples are investigated.