Phil 1.25.17

7:00 – 8:00 Research

  • Got news that my server at UMBC has a ticket for its creation. Woohoo!
  • Got batch processing running for the flocking app. Need to analyze the output to find the best output form for detecting differences
    • I think that comparing headings could work too. There are two things to look at
      • The average heading vector. if it’s large, everyone is aligned if it’s zero, then it’s either random or the agents are orbiting
      • The comparison of the individual agent to the average vector. This should ideally take into account the size of the average vector.
    • Also still thinking about some way to classify agents without dimension reduction. This paper might help: Bayesian Chain Classifiers for Multidimensional Classification (JH Zaragoza, LE Sucar, EF Morales, C Bielza… – IJCAI, 2011)
  • Working on abstract
  • Need to get rid of the sum object and do descriptive stats: mean, variance, etc. Train on these.

8:30 – 5:00 BRC

  • Several tasks for decoupling CSEs from BRC
  • More curating
  • More blacklisting

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