Title :
A model for learning and acting rationally in multiagent system
Author :
Lin, Yao-Hai ; Hu, Shan-Li ; Luo, Jian-Bin
Author_Institution :
Dept. of Comput. Sci. & Technol., Fuzhou Univ., Fuzhou
Abstract :
In order to characterize 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.
Keywords :
formal logic; learning (artificial intelligence); multi-agent systems; BDI logic; learning; multiagent system; twin-subset semantics; Agriculture; Biomimetics; Collaboration; Computer science; Forestry; Information science; Laboratories; Logic; Multiagent systems; Robots; BDI logic; Leaning; Multi-agent; Request;
Conference_Titel :
Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1761-2
Electronic_ISBN :
978-1-4244-1758-2
DOI :
10.1109/ROBIO.2007.4522433
