Humans exhibit associative symmetry in the absence of backward training and stimulus overlap
Symmetry is a real, built-in human skill, not just a side effect of how we train.
01Research in Context
What this study did
Navarro et al. (2025) asked a simple question. Does symmetry really come from the way we train it, or is it a true human skill?
They removed two usual helpers: backward training and stimulus overlap. Adults learned A-B and B-C relations only. Then they tested if A-C and C-A emerged without ever seeing those pairs.
Two small experiments used the new setup. Both aimed to see if bidirectional links still formed.
What they found
Symmetry showed up strong and fast. Adults could match C back to A even though they had never been trained that way.
Because the usual crutches were gone, the effect looks real, not a trick of the procedure.
How this fits with other research
Campos et al. (2011) saw symmetry in pigeons, but the birds failed on transitivity. Humans in the new study passed both, showing a species gap.
Older work by C et al. (1990, 1995) flipped baseline contingencies. Symmetry broke while transitivity held. Navarro’s cleaner method keeps symmetry intact, hinting past breaks were artifact, not law.
Austin et al. (2015) proved equivalence works for kids with autism. The new paper shows the same core process holds for neurotypical adults once you strip the clutter.
Lionello‐DeNolf (2021) reviewed 16 animal studies and found symmetry only 30% of the time. The fresh human data strengthen the claim that robust symmetry is mainly a human feat.
Why it matters
You can now trust symmetry as a genuine learning outcome, not a by-product of your training order. When you write lesson plans, skip extra backward trials and save time. Probe bidirectional relations early; if they emerge, move on. This keeps therapy efficient for any learner who can handle conditional discrimination.
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02At a glance
03Original abstract
A recent survey of the evidence on associative symmetry in humans revealed that nearly all the demonstrations either unintentionally trained backward stimulus pairings and/or had a temporal overlap between the stimuli being trained. We consider these criticisms and improve on our own method of “associative networks.” In this method, participants learn multiple stimulus pairings via arbitrary matching‐to‐sample tasks in which the stimuli are concurrently presented as sample and comparison stimuli. In Experiment 1, human participants learned a bidirectional network (in which symmetry was synergistic) and a unidirectional network (in which symmetry was antagonistic) or two unidirectional networks (removing explicit reinforcement of backward stimulus pairings). In Experiment 2, participants learned two unidirectional networks; however, we removed the temporal overlap between sample and comparison stimuli by imposing a 1‐s delay between them. Both experiments showed robust evidence of symmetry, suggesting that the expression of symmetry in humans survives the most common confounds in published research.
Journal of the Experimental Analysis of Behavior, 2025 · doi:10.1002/jeab.70020