Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications

2009 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Distributed Artificial Intelligence ◽  
Agent Technology ◽  
Collaborative Applications

Power System Based on Multi-Agent Technology

2013 ◽  
Vol 273 ◽  
pp. 276-279
Author(s):  
Xiao Zhou Fan
Keyword(s):  
Artificial Intelligence ◽  
Power System ◽  
Open System ◽  
Large Scale ◽  
Distributed Artificial Intelligence ◽  
Computer Networking ◽  
Agent Technology ◽  
Large Power ◽  
Complex Problems ◽  
Multi Agent

Multi-agent technology combines the technology of computer, networking and distributed artificial intelligence together which is good at solving complex problems about large-scale distributed and open system. Multi-agent technology provides new ways for power system studies. This paper aims at finding a way to rationally use the multi-agent technology to solve complex problems due to improper protection or slow even wrong actions in the large power system.

Distributed Remote Monitoring System Key Technology Research on Agent

2013 ◽  
Vol 860-863 ◽  
pp. 2774-2782
Author(s):  
Peng Liang Lv ◽  
Guo Shun Chen
Keyword(s):  
Artificial Intelligence ◽  
Traffic Control ◽  
Computer Network ◽  
Distributed Artificial Intelligence ◽  
Agent Technology ◽  
High Tech ◽  
Technology Research ◽  
Artificial Intelligence Research ◽  
Remote Monitoring System ◽  
Multi Agent

Recent years, as computer science and the development of high-tech communications networks, distributed artificial intelligence field of artificial intelligence research as an important branch, more and more industry attention. One of the Agent and Multi-Agent technology research became a hot topic of distributed artificial intelligence research. Research on Multi-Agent technology is mainly a group of autonomous distributed open Agent in a dynamic environment, through interaction, cooperation, competition, negotiation and other acts perform complex control or task solving. Because of its better reflect human social intelligence, more suitable for an open, dynamic social environment, thus causing researchers in various fields of interest, and is widely used in scientific computing, computer network e-commerce, business management and traffic control, etc

scholarly journals Study of Multimedia Delivery over Software Defined Networks

2016 ◽  
Vol 7 (4) ◽  
pp. 37 ◽  
Author(s):  
Jose Miguel Jimenez ◽  
Oscar Romero ◽  
Albert Rego ◽  
Avinash Dilendra ◽  
Jaime Lloret
Keyword(s):  
Artificial Intelligence ◽  
Personal Computer ◽  
Network Protocols ◽  
Performance Comparison ◽  
Distributed Artificial Intelligence ◽  
Software Defined Networks ◽  
Multimedia Delivery ◽  
Real Network ◽  
Multimedia Streams ◽  
The Difference

Software Defined Networks (SDN) have become a new way to make dynamic topologies. They have great potential in both the creation and development of new network protocols and the inclusion of distributed artificial intelligence in the network. There are few emulators, like Mininet, that allow emulating a SDN in a single personal computer, but there is lack of works showing its performance and how it performs compared with real cases. This paper shows a performance comparison between Mininet and a real network when multimedia streams are being delivered. We are going to compare them in terms of consumed bandwidth (throughput), delay and jitter. Our study shows that there are some important differences when these parameters are compared. We hope that this research will be the basis to show the difference with real deployments when Mininet is used.

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