Exploration and recency as the main proximate causes of probability matching: a reinforcement learning analysis
Carolina Feher da Silva, Camila Gomes Victorino, Nestor Caticha, Marcus Vinícius C. Baldo
The paper uses reinforcement learning to analyze why humans probability match instead of maximize in a learning task, finding that pattern search, exploration, and recency significantly influence behavior.
Scientific Reports · Nov 6, 2017Peer-reviewedNeuroscience