Table 2.

Free parameters and parameter fits, for the best-fitting behavioral model for each class^{^a}

Behavioral model	Free parameters	Mean ± SE	Range
Bayesian_nolearning	β: softmax inverse temperature	4.04 ± 2.22	[0, ∞]
Additive	β: softmax inverse temperature	7.04 ± 3.46	[0, ∞]
Mostleast_voter (voting for or against the sectors in which an animal was the most or least common)	v_pos: size of positive vote; v_neg: size of negative vote	1.69 ± 3.39; 0.754 ± 1.39	[0, ∞]; [0, ∞]
Bayesian_feedbackRL (learning from all feedback, no scaling of learning rates, and α_pos = α_neg)	α: learning rate; β: softmax inverse temperature	0.0515 ± 0.161; 4.82 ± 2.52	[0, 1]; [0, ∞]

↵^aThe best-fitting behavioral models for all classes did not model recency or primacy biases, and used each participant's subjective estimates of the animal likelihoods rather than the actual likelihoods. For model classes that had additional variants, the best-fitting settings are described in parentheses.