scholarly journals A Learning Method for Dynamics of Multi-Agent System with Mutual Interaction Based on Fuzzy Inference

1999 ◽  
Vol 35 (11) ◽  
pp. 1415-1420 ◽  
Author(s):  
Kotaro HIRASAWA ◽  
Junichiro MISAWA ◽  
Jinglu HU
Keyword(s):  
Fuzzy Inference ◽  
Mutual Interaction ◽  
Learning Method ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

MAS Learning Based on Bayesian Learning Method

2010 ◽  
Vol 20-23 ◽  
pp. 1292-1298
Author(s):  
De Jia Shi ◽  
Zhi Qiang Liu ◽  
Jing He
Keyword(s):  
Learning Strategies ◽  
Bayesian Learning ◽  
Free Text ◽  
Learning Approach ◽  
Learning Method ◽  
Multi Agent System ◽  
Agent System ◽  
Agent Learning ◽  
Multi Agent ◽  
Keyword Searches

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.

Multi-agent System for Documents Retrieval and Evaluation Using Fuzzy Inference Systems

2015 ◽  
Vol 5 (4) ◽  
pp. 158
Author(s):  
Galina Ivanova ◽  
Ark Andreev ◽  
Marwa A. Shouman
Keyword(s):  
World Wide Web ◽  
Fuzzy Inference System ◽  
World Wide ◽  
Fuzzy Inference ◽  
System Development ◽  
Multi Agent System ◽  
Agent System ◽  
Inference System ◽  
The World ◽  
Multi Agent

Recently the World Wide Web are packed with huge quantities of information. From this view the user finds it difficult to get the relevant informations due to the increased of their quantities. This paper uses multi-agent system uses intelligent agent in order to retrieval documents from the World Wide Web. The user by this system can easily get the relevant documents which to need them.Multi-agent System is combined with fuzzy inference system for ranking documents. The documents ranking score by cosine similarity using fuzzy inference system development and implemented much simpler than the traditional method which require mathematical equations.

Improvement of learning method of multi-agent system by sharing learning data

2021 ◽  
Author(s):  
Qi Liu ◽  
Tomohiro Hayashida ◽  
Ichiro Nishizaki ◽  
Shinya Sekizaki
Keyword(s):  
Learning Method ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Learning Data
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