Performance Prediction in Peer-to-Peer MultiAgent Networks

被引：0
|
作者：
Gu, Jabeom [1 ]
Nah, Jaehoon [1 ]
Kwon, Hyeokchan [1 ]
Jang, Jongsoo [1 ]
Park, Sehyun [2 ]
机构：
[1] Elect & Telecommun Res Inst, Daejon 305350, South Korea
[2] Chung Ang Univ, Seoul 156756, South Korea
来源：
AGENTS AND PEER-TO-PEER COMPUTING | 2010年 / 5319卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Building a good autonomous, self-organizing, and collaborating networks is an important research area for the design of large scale and high performance MultiAgent Systems on top of peer-to-peer (P2P) networks. This paper focuses on developing a mechanism to evaluate and outline performance metrics in dynamic P2P networks and to translate different interactions into computable functions which can lead to solvable decision making problems.
引用
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页码：27 / +
页数：3
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