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Exploring the space of human exploration

https://doi.org/10.1101/540666
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-15871-1_43openalex-snapshot
Entropy-Driven Evolutionary Approaches to the Mastermind Problem
inferredcites →https://doi.org/10.1016/j.cognition.2013.09.007openalex-snapshot
Children’s sequential information search is sensitive to environmental probabilities
inferredcites →https://doi.org/10.1016/j.conb.2018.11.003openalex-snapshot
The algorithmic architecture of exploration in the human brain
inferredcites →https://doi.org/10.1016/j.cor.2008.06.004openalex-snapshot
Efficient solutions for Mastermind using genetic algorithms
inferredcites →https://doi.org/10.1017/s1930297500002977openalex-snapshot
Information search with situation-specific reward functions
inferredcites →https://doi.org/10.1037//0278-7393.8.5.475openalex-snapshot
Selection strategies for "Mastermind" problems.
inferredcites →https://doi.org/10.1037/0033-295x.112.4.979openalex-snapshot
Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain.
inferredcites →https://doi.org/10.1037/0278-7393.30.4.856openalex-snapshot
The Advantage of Timely Intervention.
inferredcites →https://doi.org/10.1037/rev0000061openalex-snapshot
Formalizing Neurath’s ship: Approximate algorithms for online causal learning.
inferredcites →https://doi.org/10.1037/xlm0000061openalex-snapshot
Conservative forgetful scholars: How people learn causal structure through sequences of interventions.
inferredcites →https://doi.org/10.1038/s41562-018-0467-4openalex-snapshot
Generalization guides human exploration in vast decision spaces
inferredcites →https://doi.org/10.1038/s41583-018-0078-0openalex-snapshot
Towards a neuroscience of active sampling and curiosity
inferredcites →https://doi.org/10.1101/239558openalex-snapshot
Active learning reveals underlying decision strategies
inferredcites →https://doi.org/10.1111/cogs.12613openalex-snapshot
Generalized Information Theory Meets Human Cognition: Introducing a Unified Framework to Model Uncertainty and Information Search
inferredcites →https://doi.org/10.1111/mbe.12117openalex-snapshot
Enhanced Memory as a Common Effect of Active Learning
inferredcites →https://doi.org/10.1111/tops.12142openalex-snapshot
Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic
inferredcites →https://doi.org/10.1146/annurev-psych-120709-145346openalex-snapshot
Heuristic Decision Making
inferredcites →https://doi.org/10.1162/neco.2009.02-09-959openalex-snapshot
Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science
inferredcites →https://doi.org/10.1177/0956797610372637openalex-snapshot
Experience Matters
inferredcites →https://doi.org/10.1177/1745691612454304openalex-snapshot
Self-Directed Learning
inferredcites →https://doi.org/10.3389/fpsyg.2012.00068openalex-snapshot
Prediction and Control in a Dynamic Environment
inferredcites →https://doi.org/10.3758/s13423-018-1470-5openalex-snapshot
Asking the right questions about the psychology of human inquiry: Nine open challenges
inferredcites →https://doi.org/10.48550/arxiv.0912.3995openalex-snapshot
Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-99219-3_16openalex-snapshot
Assessing the Effectiveness of AI-Based Teaching Methods in STEAM Education: Enhancing Conceptual Understanding Through Concrete and Symbolic Games
inferred← citeshttps://doi.org/10.1007/s12652-021-03547-5openalex-snapshot
Uncertainty quantification and exploration–exploitation trade-off in humans
inferred← citeshttps://doi.org/10.1027/1015-5759/a000855openalex-snapshot
Is It Just a Game?
inferred← citeshttps://doi.org/10.1037/dev0001435openalex-snapshot
Children’s active physical learning is as effective and goal-targeted as adults’.
inferred← citeshttps://doi.org/10.1038/s41562-024-01878-9openalex-snapshot
Using games to understand the mind
inferred← citeshttps://doi.org/10.12677/ap.2020.103044openalex-snapshot
Early Childhood Active Learning Performance
inferred← citeshttps://doi.org/10.31234/osf.io/63y45openalex-snapshot
Emotion, entropy evaluations and subjective uncertainty
inferred← citeshttps://doi.org/10.31234/osf.io/y8e7popenalex-snapshot
Is it Just a Game? Development and Validation of a Deductive Version of Mastermind as a Measure of Reasoning Ability
inferred← citeshttps://doi.org/10.3389/feduc.2020.533998openalex-snapshot
The Paradox of Help Seeking in the Entropy Mastermind Game
inferred← citeshttps://doi.org/10.3758/s13428-025-02616-3openalex-snapshot
The Animal-AI Environment: A virtual laboratory for comparative cognition and artificial intelligence research
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