Phil 2.27.19

7:00 – 5:30 ASRC

  • Getting closer to the goal by being less capable
    • Understanding how systems with many semi-autonomous parts reach a desired target is a key question in biology (e.g., Drosophila larvae seeking food), engineering (e.g., driverless navigation), medicine (e.g., reliable movement for brain-damaged individuals), and socioeconomics (e.g., bottom-up goal-driven human organizations). Centralized systems perform better with better components. Here, we show, by contrast, that a decentralized entity is more efficient at reaching a target when its components are less capable. Our findings reproduce experimental results for a living organism, predict that autonomous vehicles may perform better with simpler components, offer a fresh explanation for why biological evolution jumped from decentralized to centralized design, suggest how efficient movement might be achieved despite damaged centralized function, and provide a formula predicting the optimum capability of a system’s components so that it comes as close as possible to its target or goal.
  • Nice chat with Greg last night. He likes the “Bones in a Hut” and “Stampede Theory” phrases. It turns out the domains are available…
    • Thinking that the title of the book could be “Stampede Theory: Why Group Think Happens, and why Diversity is the First, Best Answer”. Maybe structure the iConference talk around that as well.
  • Guidance from Antonio: In the meantime, if you have an idea on how to structure the Introduction, please go on considering that we want to put the decision logic inside each Autonomous Car that will be able to select passengers and help them in a self-organized manner.
  • Try out the splitter on the Tymora1 text.
    • Incorporate the ignore.xml when reading the text
    • If things look promising, then add changes to the phpbb code and try on that text as well.
    • At this point I’m just looking at overlapping lists of words that become something like a sand chart. I wonder if I can use the Eigenvector values to become a percentage connectivity/weight? Weights
    • Ok – I have to say that I’m pretty happy with this. These are centrality using top 25% BOW from the Slack text of Tymora1. I think that the way to use this is to have each group be an “agent” that has cluster of words for each step: Top 10
    • Based on this, I’d say add a “Evolving Networks of words” section to the dissertation. Have to find that WordRank paper
  • Working on white paper. Lit review today, plus fix anything that I might have broken…
    • Added section on cybersecurity that got lost in the update fiasco
    • Aaron found a good paper on the lack of advantage that the US has in AI, particularly wrt China
  • Avoiding working on white paper by writing a generator for Aaron. Done!
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