A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

Author(s):  
Nikos Vlassis
2018 ◽  
Vol 7 (3.8) ◽  
pp. 1
Author(s):  
Dimple Juneja ◽  
Chetali Dhiman ◽  
Savneet Monga ◽  
Ashutosh Kumar Singh

The premise of the paper is to present a compendious study of interaction protocols pertaining to multiagent systems. Multiagent systems have evolved from the field of Distributed Artificial Intelligence and require numerous agents to cooperate and coordinate to cope with goal search. The primary ingredients to goal search are the language of communication and the interaction protocol. Agents in communication must be able to understand the language of communication and should also follow rules of interaction. The paper focuses on sharing understanding about various agent interaction protocols and it also discusses the promises and challenges each protocol offers to MAS research community.  


2016 ◽  
Vol 7 (4) ◽  
pp. 37 ◽  
Author(s):  
Jose Miguel Jimenez ◽  
Oscar Romero ◽  
Albert Rego ◽  
Avinash Dilendra ◽  
Jaime Lloret

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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