27 karma · joined August 7, 2019
A much better analysis imo would be trying to find the probability of someone at his ELO finding surprising moves. EG I played a 1900 online recently who happened to completely turn around a game by setting up a forced mate in 6, with several branching moves a few moves down which all happened to result in mate because of incredibly lucky piece positions. I can't calculate the probability of someone at a relatively low level like that finding such a move, but I bet it's very low. This is the type of analysis which I'm guessing Magnus is using to assess Niemann as a cheater.
"The amygdala appears to do something similar for emotional learning. For example infants are born with a simple versions of a fear response, with is later refined through reinforcement learning."
Positive and negative emotions can be seen as a reward/punishment mechanism - the goal of a reinforcement learning policy. Our brain is able to change this policy (what defines a positive or negative emotion) over time as our emotional intelligence matures. For example, when we are babies, we cry at anything that scares us. As we get older, we mature and change the emotional reaction automatically. In the example, we learn that not everything should scare us. I never realized that the brain (or ULM) can modify everything, including it's own policies, in response to external stimulus.