Artificial Intelligence

   

Performance Measurement of Multi-Agent Systems

Authors: Muhammad Mohiuddin

A multi-agent system can greatly increase performance and reliability of a system due to several reasons like distributed nature, responsiveness to environment, and the ability for reuse. These characteristics are associated with multi-agent systems due to their flexible and intelligent nature. All these capabilities do not come without challenges. One of the biggest challenges that arises due to the dynamic behavior of multi-agent systems is the difficulty to quantify their reliability and dependability, or in other words performance. This article discusses agents and multi-agent systems, their classification according design parameters, multiple methods of performance quantization, and factors which affect them.

Comments: 7 Pages.

Download: PDF

Submission history

[v1] 2019-03-11 13:40:21

Unique-IP document downloads: 3 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus