On today’s show, we are joined by our co-host, Becky Hansis-O’Neil. Becky is a Ph.D. student at the University of Missouri, St Louis, where she studies bumblebees and tarantulas to understand their learning and cognitive work.
She joins us to discuss the paper: Perception in Chess. The paper aimed to understand how chess players perceive the positions of chess pieces on a chess board. She discussed the findings paper. She spoke about situations where grandmasters had better recall of chess positions than beginners and situations where they did not.
Becky and Kyle discussed the use of chess engines for cheating. They also discussed how chess players use chunking. Becky discussed some approaches to studying chess cognition, including eye tracking, EEG, and MRI.
## Paper in Focus
Perception in chess
## Resources
Detecting Cheating in Chess with Ken Regan
Fault Tolerant Distributed Gradient Descent
Decentralized Information Gathering
Leaderless Consensus
Automatic Summarization
Gerrymandering
Even Cooperative Chess is Hard
Consecutive Votes in Paxos
Visual Illusions Deceiving Neural Networks
Earthquake Detection with Crowd-sourced Data
Byzantine Fault Tolerant Consensus
Alpha Fold
Arrow's Impossibility Theorem
Face Mask Sentiment Analysis
Counting Briberies in Elections
Sybil Attacks on Federated Learning
Differential Privacy at the US Census
Distributed Consensus
ACID Compliance
National Popular Vote Interstate Compact
Defending the p-value
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