A Multi-agent System as Framework for Learning Algorithms Benchmarking

2004 ◽  
pp. 233-240
Author(s):  
Luis Miramontes Hercog ◽  
Terence C. Fogarty
Keyword(s):  
Learning Algorithms ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent

Findings and Discussions on the Neural Trust and Multi-Agent System

2017 ◽  
pp. 344-366
Author(s):  
Gehao Lu ◽  
Joan Lu
Keyword(s):  
Learning Algorithms ◽  
Estimation Algorithm ◽  
Trust Model ◽  
Multi Agent System ◽  
Model Design ◽  
Agent System ◽  
Detailed Design ◽  
Multi Agent ◽  
Reputation Mechanisms

This chapter focuses on the testing for a complete systematic neural trust model developed previously based on the trust learning algorithms, trust estimation algorithm and reputation mechanisms. The focus is to describe the detailed design of the model and explain the rationales behind the model design. The purpose is to evaluate the proposed neural trust model from different aspects and analyze the results of the evaluations. Experiments have been conducted. Results are presented and discussed. Finally, based on the analysis and comparison of acquired results, conclusions are drawn.

Multi Agent System Approach for Shipboard Power System Reconfiguration

2009 ◽  
Vol 2 (4) ◽  
pp. 61-70
Author(s):  
Ravi Babu Pallikonda ◽  
◽  
K. Prapoorna ◽  
N.V. Prashanth ◽  
A. Shruti ◽  
...  
Keyword(s):  
Power System ◽  
System Approach ◽  
Multi Agent System ◽  
Agent System ◽  
System Reconfiguration ◽  
Shipboard Power System ◽  
Shipboard Power ◽  
Multi Agent

Consensus for Damaged Multi-agent System

2012 ◽  
Vol 38 (11) ◽  
pp. 1880 ◽  
Author(s):  
Wei-Sheng YAN ◽  
Jun-Bing LI ◽  
Yin-Tao WANG
Keyword(s):  
Multi Agent System ◽  
Agent System ◽  
Multi Agent
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