Analysis of Knowledge Fusion System Model Based on Ontology and Multi-Agent Theory

2014 ◽  
Vol 989-994 ◽  
pp. 1505-1508
Author(s):  
Li Lei ◽  
Man Zhang

Information increase rapidly in recent years which make the effective use of information is not that easy. Knowledge fusion can improve the semantic accuracy and specification of knowledge; it’s a useful way to make the mass disordered information integrated and easy to be recognized for users. The paper proposed a knowledge fusion system model based on ontology and multi-agent theory to meet with the user’ changing needs at any time.

2013 ◽  
Vol 312 ◽  
pp. 460-463
Author(s):  
Jian Bin Wang ◽  
Wei He

An intelligent reconfigurability model based on multi-agent theory was proposed in this paper to improve feasibility of automotive manufacturing system. Each production management department in automobile manufacturing enterprises was designed as an independent agent. The practicability and rationality of the manufacturing system model was simulated as communication and interactive between different agents in this multi-agent system through JAFMAS. The application of multi-agent model in the design of automobile manufacturing system can promote the reconfigurability and intelligent level of the system.


2011 ◽  
Vol 58-60 ◽  
pp. 1721-1726
Author(s):  
Xu He

Under dynamic complicated supply chain environment, negotiation efficiency among supply chain members exerts direct influence on the whole performance and competiveness of supply chain. This document combing multi-agent and CBR, puts forward a new supply chain auto-negotiation system model. It analyzes retrieve, reuse, revise and retain of supply chain negotiation case, and establishes supply chain auto-negotiation model based on multi-agent. This system model is helpful for making full use of supply chain historic negotiation experience and experts’ knowledge. It is highly intelligentized which is propitious to promote supply chain negotiation efficiency.


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