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
Change Point Detection Algorithms
Time Series for Good
Long Term Time Series Forecasting
Fast and Frugal Time Series Forecasting
Causal Inference in Educational Systems
Boosted Embeddings for Time Series
Change Point Detection in Continuous Integration Systems
Applying k-Nearest Neighbors to Time Series
Ultra Long Time Series
MiniRocket
ARiMA is not Sufficient
Comp Engine
Detecting Ransomware
GANs in Finance
Predicting Urban Land Use
Opportunities for Skillful Weather Prediction
Predicting Stock Prices
N-Beats
Translation Automation
Time Series at the Beach
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