DocumentCode
3453568
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
fYear
2007
fDate
15-18 Dec. 2007
Firstpage
1769
Lastpage
1772
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ROBIO.2007.4522433
Filename
4522433
Link To Document