An Analysis Architecture for Communications in Multi-agent Systems

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Abstract
Evaluation tools are significant from the Agent Oriented Software Engineering (AOSE) point of view. Defective designs of communications in Multi-agent Systems (MAS) may overload one or several agents, causing a bullying effect on them. Bullying communications have avoidable consequences, as high response times and low quality of service (QoS). Architectures that perform evaluation functionality must include features to measure the bullying activity and QoS, but it is also recommendable that they have reusability and scalability features. Evaluation tools with these features can be applied to a wide range of MAS, while minimizing designer’s effort. This work describes the design of an architecture for communication analysis, and its evolution to a modular version, that can be applied to different types of MAS. Experimentation of both versions shows differences between its executions
Year of Publication
2013
Journal
International Journal of Interactive Multimedia and Artificial Intelligence
Volume
2
Issue
Special Issue on Artificial Intelligence and Social Application
Number
1
Number of Pages
65-72
Date Published
03/2013
ISSN Number
1989-1660
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