The aim of this paper is to present an agent-based model for network flows self-management implemented in NetLogo 6. Currently, network self-management is supported by artificial intelligence techniques for decision-making tasks. The incorporation of intelligent agents and a negotiation algorithm enable the performance of automatic actions to maintain and improve the flow management in the network. This research paper describes the analysis of a network using a complex systems approach and presents a negotiation algorithm based on preferences and hidden authorities to coordinate the delivery of the flows when a congestion situation emerge.
To View the Base Paper Abstract Contents
Now it is Your Time to Shine.
Great careers Start Here.
We Guide you to Every Step
Success! You're Awesome
Thank you for filling out your information!
We’ve sent you an email with your Final Year Project PPT file download link at the email address you provided. Please enjoy, and let us know if there’s anything else we can help you with.
To know more details Call 900 31 31 555
The WISEN Team