Adaptivity in Agent-Based Routing for Data Networks

Computer Science – Multiagent Systems

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems (MAS's) in noisy environments. One important consideration in designing adaptive agents is choosing their action spaces to be as amenable as possible to machine learning techniques, especially to reinforcement learning (RL) techniques. One important way to have the interaction structure connecting agents itself be adaptive is to have the intentions and/or actions of the agents be in the input spaces of the other agents, much as in Stackelberg games. We consider both kinds of adaptivity in the design of a MAS to control network packet routing. We demonstrate on the OPNET event-driven network simulator the perhaps surprising fact that simply changing the action space of the agents to be better suited to RL can result in very large improvements in their potential performance: at their best settings, our learning-amenable router agents achieve throughputs up to three and one half times better than that of the standard Bellman-Ford routing algorithm, even when the Bellman-Ford protocol traffic is maintained. We then demonstrate that much of that potential improvement can be realized by having the agents learn their settings when the agent interaction structure is itself adaptive.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Adaptivity in Agent-Based Routing for Data Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Adaptivity in Agent-Based Routing for Data Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Adaptivity in Agent-Based Routing for Data Networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-714105

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.