A Negotiation Model and Its Simulation Based on Q-Learning Algorithm

With the applications of e-commerce and the development of network technology such as the Semantic Web and Ontology, the use of artificial intelligence to replace the traditional approach of electronic trading has become a hot spot within related research. On the basis of Agent technology, this arti...

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Bibliographic Details
Published in2010 International Conference on Computational Intelligence and Software Engineering pp. 1 - 4
Main Authors Guoling Lao, Chengkun Zhong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
Biological system modeling
Computational modeling
Convergence
Learning
Mathematical model
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Summary:With the applications of e-commerce and the development of network technology such as the Semantic Web and Ontology, the use of artificial intelligence to replace the traditional approach of electronic trading has become a hot spot within related research. On the basis of Agent technology, this article focuses on Automatic Negotiation and analyzes the framework of Negotiation Model based on Multi-Agent tech. Based on the model, this article uses the Q-learning algorithm within Artificial Intelligence and multi-agent system (MAS) simulation platform -Swarm, investigates, brings about the negotiation agent with ability of autonomous learning and verified the feasibility of this model through simulation. The conclusion shows that the model has a sound convergence and rationality.
ISBN:1424453917
9781424453917
DOI:10.1109/CISE.2010.5676783