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Data Skeptic

Memory in Chess

Feb 12, 2024
48:39
Snipd AI
The podcast discusses perception and memory in chess, exploring how chess players recall positions on the board. It covers topics such as cheating with chess engines, chunking strategies, and studying chess cognition through eye tracking and MRI. The podcast also delves into algorithms in checkers and chess, the capabilities of AI in games, and differences between Deep Blue and AlphaGo. It concludes with a discussion on the challenges of playing Kriegspiel, a version of chess with hidden pieces.
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Podcast summary created with Snipd AI

Quick takeaways

  • Perception and memory play a crucial role in animal behavior and cognition studies, as demonstrated in the research on bumblebees and tarantulas.
  • Efficient processing and pruning strategies are key factors in expert chess players' abilities, rather than the depth of prediction into the future.

Deep dives

Perception and Memory in Studying Bumblebees and Tarantulas

In this podcast episode, the co-host, Becky Hansus O'Neill, a PhD student studying bumblebees and tarantulas, discusses the importance of perception and memory in her research. She explains how bumblebees rely on perception to evaluate flowers for foraging and the multimodal factors they consider such as shape, color, smell, and location. Becky also highlights the significance of navigational memory for bumblebees and the need for tarantulas to remember specific tasks, like getting in a bucket, during research experiments. The discussion emphasizes the role of perception and memory in animal behavior and cognition studies.

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