Pranav Deshpande
Cognitive Science Researcher
I start from first principles: a game is a bounded information system, a move is a hypothesis, and expertise is compressed prediction under time pressure. I connect chess calculation, Mastermind deduction, and mancala planning through working memory, chunking, feedback loops, and error correction. I write to make cognitive science usable for serious players, educators, and collectors who want to understand not only what wins, but why minds prefer certain lines.
PhD Cognitive Psychology; MSc Behavioural Science; Associate Fellow of the Higher Education Academy
Articles by Pranav Deshpande
- 01.Chunking and the Limits of Working Memory in Competitive Play
- 02.The Comprehensive Guide to Professional Chess Clocks and Tournament Gear
- 03.Applying Deductive Logic in Number-Line Games
- 04.Fernand Gobet's Research on Chess Expertise and Memory
- 05.How Guillermo Campitelli Maps the Chess Player's Brain