Gene Regulation Network Modeling via Improved Multi-agent System and Dynamic Bayesian Network

2015 ◽  
Author(s):  
Wei Zhou ◽  
Yingfei Sun
Keyword(s):  
Gene Regulation ◽  
Bayesian Network ◽  
Network Modeling ◽  
Dynamic Bayesian Network ◽  
Multi Agent System ◽  
Agent System ◽  
Gene Regulation Network ◽  
Regulation Network ◽  
Multi Agent

A HYBRID BAYESIAN NETWORK-BASED MULTI-AGENT SYSTEM AND A DISTRIBUTED SYSTEMS ARCHITECTURE FOR THE DRUG CRIME KNOWLEDGE MANAGEMENT

2003 ◽  
Vol 02 (04) ◽  
pp. 557-576 ◽  
Author(s):  
PARAG C. PENDHARKAR ◽  
RAHUL BHASKAR
Keyword(s):  
Knowledge Management ◽  
Bayesian Network ◽  
Current System ◽  
Distributed Artificial Intelligence ◽  
Multi Agent System ◽  
Agent System ◽  
Systems Architecture ◽  
Drug Crime ◽  
Efficiency And Effectiveness ◽  
Multi Agent

In this paper, we describe an approach for building a hybrid Bayesian network-based multi-agent system for drug crime knowledge management. We use distributed artificial intelligence architecture to create a multi-agent information system that integrates distributed knowledge sources and information to aid decision-making. Our comparison of the hybrid system with a previously developed stand-alone expert system Sherpa, which was in use at a large drug crime investigation facility, shows that the current system compares similar to the existing system in terms of efficiency and effectiveness of knowledge management. We illustrate how the proposed hybrid bayesian network-based can be implemented in the distributed computing network environment.

Application of Open Agent Architecture and Data Mining Techniques to Transformer Condition Assessment System

2005 ◽  
Vol 2 (1) ◽  
Author(s):  
Lizeng Wu ◽  
Zhu Yongli ◽  
Jinsha Yuan ◽  
Xueyu Li
Keyword(s):  
Data Mining ◽  
Bayesian Network ◽  
Data Warehouse ◽  
Condition Assessment ◽  
Assessment System ◽  
Multi Agent System ◽  
Agent Architecture ◽  
Agent System ◽  
Data Mining Techniques ◽  
Multi Agent

The framework of transformer condition assessment system is proposed in this paper through mainly using data warehouse techniques, data mining techniques, and Open Agent Architecture. In this system, a data warehouse is used to collect transformers’ testing data, a multi-agent system is used to design the framework of the software, and data mining techniques are used to evaluate transformers’ conditions. The present framework is open and flexible, so the objective system is easy to be developed and maintained. The system can support transformers’ condition-based maintenance to reduce electric utility’s cost.Because the condition of a transformer depends on its design, present and historical operating data, and relates to its installation environment, load amounts, and so on, it is necessary to integrate all above information to evaluate transformer’s condition. However, the off-line testing results, operational data, fault records and weather conditions have been stored in different systems, so finding an effective method to utilize all this information for condition assessment is difficult. Therefore, a data warehouse has been set up to integrate all of the above data, and some data mining techniques have been used to find the pattern and trend of the condition of a transformer. Then whether it is healthy can be determined. In order to make the system open and flexible, Open Agent Architecture (OAA) is employed to compose the multi-agent system. Seven application agents are designed to evaluate transformers’ conditions synthetically. The Grey correlation method, grey theory prediction model GM(1,1), Bayesian network classifier and Bayesian network are employed in the agents.

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