So, the idea is that what if we have a hierarchy where some of the agents in the hierarchy have multiple supperiors. Then the underlying gets tasks from both its superiors. How does it learn how much weight to put on each of the tasks. How does it know which to do first? I think… Continue reading Neural Nets and Agent Hierarchy
Category: Large MAS
Multiagent Learning
So, I really want my PhD thesis topic to be on large scale (>8 agents) heterogeneous multi agent learning. The two problems in MAL are speed and generality. The main way I see solving the speed problem is by providing the learning agent information (or background knowledge or reasonable prior probabilities). This has been the… Continue reading Multiagent Learning
Prestige in Bounty hunting
What about prestige points. What if besides the bounty there was a fixed number of prestege points associated with . Sort of like going after a local town crook vs going after an international thief. This could be used to determine which tasks were available to the agent. The more prestege the harder the task… Continue reading Prestige in Bounty hunting
Note to self
Ohh how I wish I had read through my posts before going to Robocup. I had the chance to talk with Peter Stone!!! I could have discussed some of my ideas with him and maybe coauthored a paper with him on this. Oh well maybe I can do it at GMU. Well, I just remembered… Continue reading Note to self
Large MAS app. Parking lots
So the idea is that parking lots and local walmarts are not going to be able to afford remaking their parking lots so that when we have autonomous cars we can get dropped off at the door and the robot park somewhere and then pick us up at the entrance. This is because structurally there… Continue reading Large MAS app. Parking lots
Dynamic lane reversal and Braess’ Paradox
http://www.cs.utexas.edu/~pstone/Papers/bib2html-links/ITSC11-hausknecht.pdf Dynamic Lane Reversal in Traffic Management Peter Stone et al. This paper is very interesting. Based on my recent learning about the Price of Anarchy and Braess’ paradox I wonder why their method works. Certainly it is an immediate solution. However, I would imagine that as people learn the system it would degrade and… Continue reading Dynamic lane reversal and Braess’ Paradox
Bounties are Prisoners Dillema
For my CS880 project I’m making a bounty system that will hopefully enable robots to learn what roles they should do. I’m currently going to try providing robots a tit-for-tat (or some variation of it) to learn what tasks to do. I think this method might be good since in a real life scenario we… Continue reading Bounties are Prisoners Dillema
Human Trafficking Simulation
Need a game that people play that simulates human trafficking without it actually being human trafficking (since that would just be wrong). It could be a MMO strategy game that requires the players to distribute mail in a war zone. So, you can choose to be the good guy, the mail distributor (which corresponds to… Continue reading Human Trafficking Simulation
Builder Broker
I would imagine that building a house from scratch is pretty difficult for the regular lay person. It would be for me. Making the blue prints, figuring out the permits, what contractors I need and when. Especially if I want to change something or money changes etc there are many dynamic unpredictable things that can… Continue reading Builder Broker
Smart Logistics and the Knowledge Genesis Group
These are two pretty awesome companies/contractors. They provide muliagent systems approach to solving real world problems. They implement real time schedulers and optimization algorithms in the real world and not just as academics. Pretty cool, too bad they aren’t based in the US (though they do have a branch in Florida). http://www.knowledgegenesis.co.uk/home/what-we-do http://smartlogisticsinc.com/partnerships/ http://goaleurope.com/2012/02/10/russian-science-put-to-a-commercial-use-real-time-multi-agent-optimization-know-how/… Continue reading Smart Logistics and the Knowledge Genesis Group