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Pranav Deshpande

Decision-making, memory load, and strategic reasoning in chess and abstract games

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

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Articles by Pranav Deshpande