Bidirectional influences of information sampling and concept learning.

ABSTRACT: Contemporary models of categorization typically tend to sidestep the problem of how information is initially encoded during decision making. Instead, a focus of this work has been to investigate how, through selective attention, stimulus representations are "contorted" such that behaviorally relevant dimensions are accentuated (or "stretched"), and the representations of irrelevant dimensions are ignored (or "compressed"). In high-dimensional real-world environments, it is computationally infeasible to sample all available information, and human decision makers selectively sample information from sources expected to provide relevant information. To address these and other shortcomings, we develop an active sampling model, Sampling Emergent Attention (SEA), which sequentially and strategica

SUBMITTER: Braunlich K 

PROVIDER: S-EPMC8766620 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature