Probabilistic prediction and context tree identification in the Goalkeeper game.

ABSTRACT: In this article we address two related issues on the learning of probabilistic sequences of events. First, which features make the sequence of events generated by a stochastic chain more difficult to predict. Second, how to model the procedures employed by different learners to identify the structure of sequences of events. Playing the role of a goalkeeper in a video game, participants were told to predict step by step the successive directions-left, center or right-to which the penalty kicker would send the ball. The sequence of kicks was driven by a stochastic chain with memory of variable length. Results showed that at least three features play a role in the first issue: (1) the shape of the context tree summarizing the dependencies between present and past directions; (2) the entropy o

SUBMITTER: Hernandez N 

PROVIDER: S-EPMC11226460 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature