<p>The algorithm’s logic is presented in both a schematic (left) and detailed (right) outline. Rectangles refer to operations, diamonds to logical branches, and octagons to loops that iterate over sets of items. Four phase are depicted: the choice policy (red), the relaxation of the contents of memory (green), the processing of explicit feedback (blue), and implicit inference (yellow).</p
Transitive inference (the ability to infer that B> D given that B> C and C> D) is a wide-sp...
Histograms of the parameters selected by each algorithm (rows 2-4) over 1000 trials of 100 function ...
<div><p>Transitive inference (the ability to infer that <i>B</i> > <i>D</i> given that <i>B</i> > <i...
<p>A schematic specification of the betasort algorithm over the course of one trial. Rectangles refe...
<p>A schematic overview of the betasort algorithm over the course of one trial. Rectangles refer to ...
(A) Each stimulus has an associated beta distribution, whose parameters encode both the stimulus pos...
<p>Visualization of Betasort’s adjustment of the beta distributions during a single trial in which a...
<p>Three phases were included for each algorithm: 200 trials of adjacent pairs only, followed by 200...
<p>This figure illustrates a conceptual view of the proposed algorithm. The notations ‘Step’ corresp...
<p>The top half shows the algorithm that was explored using the existing information and the bottom ...
<p>Users and items are presented by circles and squares respectively. The target user is labeled by ...
<p>(A) Timeline of a trial in Experiments 1 and 2. On each trial, the subject chose between two obje...
Transitive inference (the ability to infer that “B> D ” given that “B> C ” and “C> D”) is a...
The BETA programming language is a modern language in the SIMULA 67 tradition. It supports the obje...
<p>Figures from "Implicit value updating explains transitive inference performance: The betasort mod...
Transitive inference (the ability to infer that B> D given that B> C and C> D) is a wide-sp...
Histograms of the parameters selected by each algorithm (rows 2-4) over 1000 trials of 100 function ...
<div><p>Transitive inference (the ability to infer that <i>B</i> > <i>D</i> given that <i>B</i> > <i...
<p>A schematic specification of the betasort algorithm over the course of one trial. Rectangles refe...
<p>A schematic overview of the betasort algorithm over the course of one trial. Rectangles refer to ...
(A) Each stimulus has an associated beta distribution, whose parameters encode both the stimulus pos...
<p>Visualization of Betasort’s adjustment of the beta distributions during a single trial in which a...
<p>Three phases were included for each algorithm: 200 trials of adjacent pairs only, followed by 200...
<p>This figure illustrates a conceptual view of the proposed algorithm. The notations ‘Step’ corresp...
<p>The top half shows the algorithm that was explored using the existing information and the bottom ...
<p>Users and items are presented by circles and squares respectively. The target user is labeled by ...
<p>(A) Timeline of a trial in Experiments 1 and 2. On each trial, the subject chose between two obje...
Transitive inference (the ability to infer that “B> D ” given that “B> C ” and “C> D”) is a...
The BETA programming language is a modern language in the SIMULA 67 tradition. It supports the obje...
<p>Figures from "Implicit value updating explains transitive inference performance: The betasort mod...
Transitive inference (the ability to infer that B> D given that B> C and C> D) is a wide-sp...
Histograms of the parameters selected by each algorithm (rows 2-4) over 1000 trials of 100 function ...
<div><p>Transitive inference (the ability to infer that <i>B</i> > <i>D</i> given that <i>B</i> > <i...