Phil 10.28.19

Language

Capacity, Bandwidth, and Compositionality in Emergent Language Learning

  • Many recent works have discussed the propensity, or lack thereof, for emergent languages to exhibit properties of natural languages. A favorite in the literature is learning compositionality. We note that most of those works have focused on communicative bandwidth as being of primary importance. While important, it is not the only contributing factor. In this paper, we investigate the learning biases that affect the efficacy and compositionality of emergent languages. Our foremost contribution is to explore how capacity of a neural network impacts its ability to learn a compositional language. We additionally introduce a set of evaluation metrics with which we analyze the learned languages. Our hypothesis is that there should be a specific range of model capacity and channel bandwidth that induces compositional structure in the resulting language and consequently encourages systematic generalization. While we empirically see evidence for the bottom of this range, we curiously do not find evidence for the top part of the range and believe that this is an open question for the community.

Radiolab: Tit for Tat

  • In the early 60s, Robert Axelrod was a math major messing around with refrigerator-sized computers. Then a dramatic global crisis made him wonder about the space between a rock and a hard place, and whether being good may be a good strategy. With help from Andrew Zolli and Steve Strogatz, we tackle the prisoner’s dilemma, a classic thought experiment, and learn about a simple strategy to navigate the waters of cooperation and betrayal. Then Axelrod, along with Stanley Weintraub, takes us back to the trenches of World War I, to the winter of 1914, and an unlikely Christmas party along the Western Front.
    • Need to send a note for them to look into Axelrod’s “bully” saddle point

7:00 – ASRC GOES

  • Dissertation – Nearly done with the agent cartography section?
  • CTO Rehearsal – 10:30 – 12:00 done
  • ML Dinner – 4:30 fun! 20191028_173214
  • Meeting With Aaron M
    • More thinking about what to do with the paper. We decided to try for the CHI4EVIL workshop, and then try something like IEEE Spectrum. I think I’d like to reframe it around the concept of Expensive Information and Automation. Try to tie together AI weapons, spam filters, and deepfakes
      • Automation makes negotiation more difficult, locks in trajectories
      • Handing off responsibility to automation amplifies opportunities and destructive potential
      • OODA loop could be generalized if you look at it from the perspective of attention.

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