• Classifier accuracy over time. Self decoding occured first (around 200 ms), then Other decoding.

    Decoding Fairness

    Part of a my dissertation looked at how people balance self-interest with fairness for others. It may seem obvious that people pay attention to their own interests first, but there is some good evidence that people are actually intuitive cooperators and default to considering how their choices affect other people. I tested these two views using a modified verison of the Ultimatum Game while I recorded electroencephalography (EEG). On each trial participants saw $12 split between three people and were asked to accept or reject the offer. I used this setup to independently manipulate fairness for the self or another person, then trained two families of support vector machines to…

  • Picture of small brains with arms and legs in random colors.

    Introducing MobNet

    I have been running a homebrew (i.e., designed from scratch) Dungeons & Dragons game for the last five years. This past New Year\'s Eve, my five players were victorious, saving their multiverse from certain annihilation. I\'m excited about starting a second campaign, but was struggling to come up with new creatures to challenge and surprise them. Then I realized I could use artificial intelligence to help (special thanks to Jacqueline Nolis at SaturnCloud a demonstration using a neural net to generate pet names). More specifically, I trained a neural network on a list of 1,368 names from existing creatures. MobNet produces names like Orze, Garez, or Wartus. (Header image is…