Are All Good Questions Good?
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Lessons from Chess, Cognitive Efficiency, and the Cost of Thinking.
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From an amateur chess player to Europe's #1
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A look into the chess world through the eyes of an amateur player who became one of Europe’s top players.
Can redundant learning lead to chess superstitions?
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Exploring the psychological reasons behind ‘lucky’ pens and rituals in chess and connecting them to neuroscience.
Dynamic programming and Chess
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Back in 1965, when Richard Bellman wrote his article ‘On the Application of Dynamic Programming to the Determination of Optimal Play in a Game of Chess’ the field of Artificial Intelligence was still in its infancy.
Chess and Autism
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Exploring the relationship between chess and Autism Spectrum Disorder (ASD), and how the game can be a valuable tool for development.
Optimistic and Pessimistic Neurons
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The concept of Machine Learning being influenced by Neuroscience is very much familiar. However, in a recent publication, a team of researchers from the University of Oxford gave an interesting idea that the Neurons can behave like the Optimistic and Pessimistic models in Machine Learning.
Chess Computers and the estimated value of the pieces
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Normally, one of the very first chess lessons starts when the trainer states to the student the ‘Value of The Pieces’. The usual values of the pieces are: Pawn = 1, Knight = 3, Bishop = 3.25, Rook = 5, Queen = 9, and the King is of infinite value.