I was reading about this book called Factfulness: Ten Reasons We’re Wrong About the World—and Why Things Are Better Than You Think by Hans Rosling that Bill Gates recommend reading. From this I found the Gapminder (which is a spin off from Han’s work) and their tool: https://www.gapminder.org/tools/#$chart-type=bubbles which lets you explore a dizzying number of statistics… Continue reading Macro Scale Agent Based Modeling
Category: Large MAS
Bounty Hunting and Cloud Robotics
Cloud robotics needs very stringent QoS guarantees and in certain cases is highly reliant on location to satisfy some of the requirements. So, I was thinking a while back that maybe a bounty hunting based cloud robotics system could work like: The robot registers with the bounty hunting service the bondsman (highly distributed might have… Continue reading Bounty Hunting and Cloud Robotics
Politics and MAS
Politics seems like a good real world example of the multi-agent inverse problem and trying to get agents to coordinate at a massive (country) scale. Basically the multi-agent inverse problem is determining rules and behaviors at the low level that achieve a higher level objective. This problem is made more difficult because the low level… Continue reading Politics and MAS
Directed Reading
I’m planning my directed reading class this coming semester. So, basically I have/get to come up with an entire semester’s worth of material. I might be able to make a class out of it by the time I’m done 🙂 haha. My subjects are focusing on the areas I want to explore with the bounty hunting… Continue reading Directed Reading
Price Surging and Bounty Hunting
So, it seems like uber might have a bounty type pricing model. They have this system of price surging. This we also found doesn’t work for adjusting the bounty. I thought that maybe it would provide a method to get agents to go after the right tasks, it doesn’t. However, it does give me hope that… Continue reading Price Surging and Bounty Hunting
Multi-team Systems
A multi team system consists of multiple teams where each team may have their own goals, but system in general has a common ultimate goal http://en.wikipedia.org/wiki/Multiteam_system. This is really interesting. I think that this would be an interesting direction to move bounties. Also, on a different note, I think that a survey of this field would… Continue reading Multi-team Systems
Spacial-temporal clustering
I think that idea is actually a field. Specifically spacial-temporal clustering. There are a lot of highly cited papers in this field. Also, it seems like it sort of tapered off in the mid-2000s. I don’t see any mention of it being applied to a multiagent system other than for cars.
Ponderings on an old topic
See people in general are getting in each others way when in a crowded environment. When there is a group of people that are working together in this crowd, their removal would cause the system to The idea is to try and find the least noisy, as the less noisy the I’m back to wanting… Continue reading Ponderings on an old topic
Adaptive Auctions
I found my idea that I had for the adaptive auctions. This isn’t the full general case of negotiation, but it is a start. http://www.sigecom.org/exchanges/volume_5/5.3-Pardoe.pdf And its by Peter Stone :).
Ascending auctions and Bounties
So, what if we think of bounties as an ascending auction? The idea is that we have a bunch of tasks that we are auctioning off. Multiple agents can bid on a task (going after the task) at the same time. They win the auction by successfully completing the task. Like in bounties the price… Continue reading Ascending auctions and Bounties