A model for learning and acting rationally in multiagent system
Yao-Hai Lin, Shan-Li Hu, Jian-Bin Luo · 2007
In order to charaterize the agent, there is a presupposition that each agent has its set of propositions. The model is based upon our prior observation, and satisfies many properties. Furthermore, we describe concretely the desire of agent by twin-subset semantics of desire operator. If friendship for learning of two agents have been made, one agent has the authorization to increase his set of propositions rationally, namely, learning from the other one. The paper aims to make one agent collaborates rationally with the other one, and implement BDI logic in multi-agent system.