MAS Learning Based on Bayesian Learning Method

De Jia Shi; Zhi Qiang Liu; Jing He

doi:10.4028/www.scientific.net/AMM.20-23.1292

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 20-23MAS Learning Based on Bayesian Learning Method

MAS Learning Based on Bayesian Learning Method

Abstract:

Mulit-agent system[MAS] research on learning has been in the area of negotiation, and learning strategies of other agents.This paper presents an agent learning approach in multi-agent system based on Bayesian learning, it researches to develop agents that learn free-text queries and keyword searches in MAS. The MAS learns to identify an appropriate agent to answer free-text and natural language queries as well as keyword searches submitted by users. The paper describes how Bayesian learning is implemented in MAS, and analyzes the effectiveness of MAS learning based on the Bayesian learning approach by analyzing the accuracy and degree of learning.

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Periodical:

Applied Mechanics and Materials (Volumes 20-23)

Pages:

1292-1298

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.20-23.1292

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Online since:

January 2010

Authors:

De Jia Shi, Zhi Qiang Liu, Jing He

Keywords:

Agent Learning, Bayesian Learning, Multi-Agent System (MAS)

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