Monthly Archives: July 2019

Phil 7.31.19

7:00 – 4:30 ASRC IRAD?

  • Flying home from St Louis
  • Dissertation
    • Finished the “my hut” section
    • Started on the research design. Going to have to fire up illustrator and create a new flow chart
    • Enrolled in 899
    • Need to set up a meeting with Shimei after
  • Antonio came back with suggestions about what to do to the TAAS paper, including a flow chart, which is what I’ll do for the dissertation as well
  • Example online dissertation that’s pretty cool, and a good reference for format, content and style. Linked Research on a Decentralized Web

Phil 7.29.19

7:00 – 4:30 ASRC GEOS

  • Dissertation
    • Added paragraph on movement through information
    • Fill in section on my hut/contributions
    • Register for 899, check that I got the reimbursement
  • Get boarding pass at 9:35 – done
  • More data ingestor – done
  • Create TAAS folder and add Anthill and mapping papers, put in overleaf – done
  • Ping Aaron on IEEE paper and map comments – done
    • Aaaaaaaaaaaaand rejected, with no comments. Need to look for another venue. The Atlantic?
  • Ping David on Map comments and Tues/Wed cat sitting – done
  • Generalize cube, size in 3 dimensions and normals from cross products
  • Change cylinder so that normals are from cross products
  • Start on sphere and cone?
  • Rank JR ideas and send sql to Panos, Chris – done
  • Look at Panos paper? – not yet

Phil 7.26.19

7:00 – 4:30 ASRC

  • Dissertation – Finished Martindale
  • Ping Antonio about going the R&R route with ACM TAAS. – done
    • Find the right template
    • Fold in Simon’s Anthill (Probably the paper title)
  • More graphics – got the disk working! Disk
  • Get Heera’s parser running?
    • Reading in the xml
    • Reading the files, though not really doing anything yet
  • Get replacement flapper – done

Phil 7.26.19

7:30 – 4:30 ASRC GEOS


Phil 7.24.19

7:00 – 4:00 ASRC GEOS

  • Write up my impression of yesterday’s game – done
  • Put together a Google Form to get everyone else’s impression – done
    • Understanding the map
    • Using the map
    • The effect of the map on gameplay and enjoyment
  • Send Don routes for ebike – done
  • Maybe get started on Martindale?
  • Start setting up Heera’s github – done
  • More graphics at Mission drive (bring fixee from home!)
    • Adding class to handle mouse button events – done
    • Refactoring the classes out of the file
    • Working on caps for the cylinder
  • Send Chris and Panos the anonymized sql, and rank the questions for difficulty
  • Various meetings

Phil 7.23.19

7:00 – 7:00 ASRC PhD

Phil 7.22.19

7:00 – 5:00 ASRC GEOS


Today’s timeline serendipity

  • The TdF is very exciting this year!
  • Met with Heera to discuss her work. I’m going to set up a GitHub project and add a parser that reads in an xml config file that then parses csv files into:
    • Spreadsheet for evaluation
    • Split-up csv files for analysis
  • Pick up air filter and oil change kit for the bike
  • Ran the random binary network code and generated figures for the text
  • Remind all the players about the run tomorrow – done
  • Getting the tmesh working – success!
  • Getting better camera controls

Phil 7.19.19

7:00 – 4:30 ASRC GEOS


  • Still looking at what’s wrong with my NK model. I found Random Boolean Networks, when looking for “random binary networks kauffman example“. It also has a bibliography that looks helpful as well
    • Introduction to Random Boolean Networks
      • The goal of this tutorial is to promote interest in the study of random Boolean networks (RBNs). These can be very interesting models, since one does not have to assume any functionality or particular connectivity of the networks to study their generic properties. Like this, RBNs have been used for exploring the configurations where life could emerge. The fact that RBNs are a generalization of cellular automata makes their research a very important topic. The tutorial, intended for a broad audience, presents the state of the art in RBNs, spanning over several lines of research carried out by different groups. We focus on research done within artificial life, as we cannot exhaust the abundant research done over the decades related to RBNs.
      • I can add a display that shows this: Trajectory
      • Got that working
      • Rewrote so that there is an evolve without a fitness test. Trying to set up transition patterns like this: Transitions
      • The thing is, I don’t see how the K part works here…
      • I think I got it working!
    • Complex and Adaptive Dynamical Systems: A Primer
      • An thorough introduction is given at an introductory level to the field of quantitative complex system science, with special emphasis on emergence in dynamical systems based on network topologies. Subjects treated include graph theory and small-world networks, a generic introduction to the concepts of dynamical system theory, random Boolean networks, cellular automata and self-organized criticality, the statistical modeling of Darwinian evolution, synchronization phenomena and an introduction to the theory of cognitive systems. 
        It inludes chapter on Graph Theory and Small-World Networks, Chaos, Bifurcations and Diffusion, Complexity and Information Theory, Random Boolean Networks, Cellular Automata and Self-Organized Criticality, Darwinian evolution, Hypercycles and Game Theory, Synchronization Phenomena and Elements of Cognitive System Theory.

Phil 7.18.19

7:00 – 5:00 ASRC GEOS

  • Started to fold Wayne’s comments in
  • Working on the Kauffman section
  • Tried making it so K can be higher than N with resampling and I still can’t keep the system from converging, which makes me think that there is something wrong with the code.
  • Send reviews to Antonio – done
  • Back to work on the physics model. Make sure to include a data dictionary mapping system to support Bruce’s concept
  • Sent links to Panda3D to Vadim
  • Code autocompletion using deep learning
  • A lot of flailing today but no good progress:


Phil 7.17.19

7:00 – 7:00 ASRC GEOS

  • Got some nice NK model network plots working:
  • Added a long jump mutation when plateaus are hit:
  • Generally, fixed a lot of bugs in the code, but I think I understand the NK model thing. I do want to try and find how they did the traveling salesman problem
  • AI/ML Meeting
    • NASA? Air Force(?) are putting together a reinforcement learning model for autonomous spacecraft control, that requires a simulator.
  • Meeting with Wayne
    • Lots of work on the dissertation
    • Walked through JuryRoom prototype

Phil 7.16.19

7:00 – 6:30ASRC GEOS

  • Working more on NK Models. I have the original paper – Towards a general theory of adaptive walks on rugged landscapes, and I’ve pulled out my copy of The Origins of Order
    • Determine if I have the evaluation function right
    • Add mutation
    • Draw the networks
    • Draw an N/K/Fitness landscape?
    • As an aside, I think that an NK model can be modified to use backpropagation rather than mutation. That could be interesting.
    • Ok, here’s everything working the way I think it should work, but I’m not sure it’s right….
  • Need to get back to Antonio about authorship and roles. I think that it makes sense if he can get a sense of what – done
  • Discovered the trumptwitterarchive, which is downloadable. Would like to build a network of the retweets and tagging by sentiment, gender and race.
  • Code review with Chris. Unfortunately, it was more like an interrogation than a tour. My sense is that he was expecting us to ask questions and we were expecting a presentation.
    • It went ok, but the audio connection was terrible

Phil 7.15.19

7:00 – 5:30 ASRC GEOS

  • Talked to David about his experience in the dungeon and with the map on the way down to Skyline Drive yesterday. It didn’t work for him, and I asked hip to write up his thoughts, particularly:
    • How you approach problems (quiet, listen, if the point bets mentioned by someone else, that’s sufficient)
    • A brief description of your experience (learning that you don’t talk to goblins, etc)
    • A paragraph that talks about your reaction to the map during gameplay. Why you think it didn’t work, and the observations of how the other players seemed to use it based on questionable assumptions?
  • Dissertation. Finished up the first pass at Bacharach
    • Started Kaufmann. Tried to get Mathpix to work, but NVIDIA is grabbing the ctrl-alt-m and it seems I can’t stop that
  • Working on adding network visualization to timeseriesML, which we’ll need for visualizing cluster membership changes, and I need it for NK models
    • Writing up some code that will produce visualizable NK Models, which doesn’t seem to be out there?

Phil 7,11,19

7:00 – 4:30 ASRC GEOS

  • Ping Antonio – Done
  • Dissertation
    • More Bones in a Hut. Found the online version of the Hi-Lo chapter from BIC. Explaining why Hi-Lo is different from IPD.
  • More reaction wheel modeling
  • Get flight and hotel for July 30 trip – Done
  • So this is how you should install Panda3d and examples:
    • First, make sure that you have Python 3.7 (64 bit! The default is 32 bit). Make sure that your path environment points to this, and not any other 3.x versions that you’re hoarding on your machine.
    • pip install panda3d==1.10.3
    • Then download the installer and DON’T select the python 3.7 support: Panda3d_install
    • Finish the install and verify that the demos run (e.g. python \Panda3D-1.10.3-x64\samples\asteroids\ asteroids
    • That’s it!
  • Discussed DARPA solicitation HR001119S0053 with Aaron. We know the field of study – logistics and supply chain, but BD has totally dropped the ball on deadlines and setting up any kind of relationship with the points of contact. We countered that we could write a paper and present at a venue to gain access and credibility that way.
    • There is a weekly XML from the FBO. Downloading this week’s to see if it’s easy to parse and search