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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Are All Good Questions Good?
Published:
Lessons from Chess, Cognitive Efficiency, and the Cost of Thinking.
From an amateur chess player to Europe's #1
Published:
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?
Published:
Exploring the psychological reasons behind ‘lucky’ pens and rituals in chess and connecting them to neuroscience.
Dynamic programming and Chess
Published:
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
Published:
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
Published:
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
Published:
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.
portfolio
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Portfolio item number 2
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publications
Working memory capacity estimates moderate value learning for outcome-irrelevant features
Published in Scientific Reports, 2022
Recommended citation: Ben-Artzi, I., Luria, R. & Shahar, N. (2022) "Working memory capacity estimates moderate value learning for outcome-irrelevant features." Scientific Reports.
Computational mechanisms underlying latent value updating of unchosen actions
Published in Science Advances, 2023
Recommended citation: Ben-Artzi, I., Kessler, Y., Nicenboim, B., & Shahar, N. (2023). "Computational mechanisms underlying latent value updating of unchosen actions." Science Advances.
Disentangling the contribution of individual and social learning processes in human advice-taking behavior
Published in npj Science of Learning, 2024
Recommended citation: Pereg, M., Hertz, U., Ben-Artzi, I. et al. (2024) "Disentangling the contribution of individual and social learning processes in human advice-taking behavior." npj Science of Learning.
Outcome-Irrelevant and State-Independent Learning Mechanisms in Human Reinforcement Learning
Published in NeurIPS 2024 Workshop on Behavioral ML, 2024
Recommended citation: Ben-Artzi, I., & Shahar, N. (2024). NeurIPS 2024 Workshop on Behavioral ML.
Automatic value learning results in counterproductive human behavior
Published in PsyArXiv Preprints, 2025
Recommended citation: Ben-Artzi, I., Pereg, M., Luria, R., Moran, R., & Shahar, N. Automatic value learning results in counterproductive human behavior. https://doi.org/10.31234/osf.io/73d5t_v1" PsyArXiv Preprints. https://osf.io/preprints/psyarxiv/73d5t_v1
talks
teaching
Reinforcement Learning Workshop
Workshop, Mathpsych 2024, Tilburg, Netherlands, 2024