The trial-and-error learning task was performed by N = 85 subjects. For each subject, it was tested in descending order (see main text for details) which model provided the best fit for the initial learning phase. For 43 subjects (50.6%), the DRP models outperformed the FOP, BP and Q-learning models, with 36 subjects following the dfkl response pattern and 7 subjects following the lkfd pattern. Of the remaining subjects, 18 subjects (21.2%) showed a tendency towards generic optimal learning, while 19 subjects (22.3%) partially exploited stimulus-response dependencies. Q-learning was never significantly better than FOP or BP on the initial learning phase. Five subjects (5.9%) could not be assigned to a model-specific subsample.</p
<p>(A) Each model design was evaluated with both active and random learners on two simulated 100 tar...
<p>(A) We compared the ‘Reward T’ model to all the other models by examining the paired differences ...
A. Individual-level learning curves. We identified 22 subjects who performed all 64 subtasks in Expe...
A: Learning curves of the initial learning phase from trial 1 to 17. For the DRP subsample, the DRP,...
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
(A) Geometric average likelihood per trial for each model (i.e., average total log likelihood divide...
(a) Example of trial-by-trial energy landscape changes (top) and log-likelihood ratio between best l...
A & B The average percentage of correct choices made by the model and real bees within blocks of ten...
A: In each learning block, subjects had to learn the correct responses to four novel stimuli (N = 85...
<p><b>A</b> and <b>B</b>) Performance of learning model and coupled model for decisions not predicte...
Trial-and-error learning is a universal strategy for establishing which actions are beneficial or ha...
Average accuracy and RT across subjects (N = 34) as a function of option pairs in the learning phase...
Optimal errors were defined as errors occurring when a response with maximum probability of being co...
Behavioral results and model fits in Experiments 1(A) and 2 (B). Top: Learning performance (i.e. per...
A. Behavioral task design: on individual trials, human participants were asked to generate a behavio...
<p>(A) Each model design was evaluated with both active and random learners on two simulated 100 tar...
<p>(A) We compared the ‘Reward T’ model to all the other models by examining the paired differences ...
A. Individual-level learning curves. We identified 22 subjects who performed all 64 subtasks in Expe...
A: Learning curves of the initial learning phase from trial 1 to 17. For the DRP subsample, the DRP,...
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
(A) Geometric average likelihood per trial for each model (i.e., average total log likelihood divide...
(a) Example of trial-by-trial energy landscape changes (top) and log-likelihood ratio between best l...
A & B The average percentage of correct choices made by the model and real bees within blocks of ten...
A: In each learning block, subjects had to learn the correct responses to four novel stimuli (N = 85...
<p><b>A</b> and <b>B</b>) Performance of learning model and coupled model for decisions not predicte...
Trial-and-error learning is a universal strategy for establishing which actions are beneficial or ha...
Average accuracy and RT across subjects (N = 34) as a function of option pairs in the learning phase...
Optimal errors were defined as errors occurring when a response with maximum probability of being co...
Behavioral results and model fits in Experiments 1(A) and 2 (B). Top: Learning performance (i.e. per...
A. Behavioral task design: on individual trials, human participants were asked to generate a behavio...
<p>(A) Each model design was evaluated with both active and random learners on two simulated 100 tar...
<p>(A) We compared the ‘Reward T’ model to all the other models by examining the paired differences ...
A. Individual-level learning curves. We identified 22 subjects who performed all 64 subtasks in Expe...