Asymmetric learning facilitates human inference of transitive relations
Simon Ciranka, Juan Linde Domingo, Ivan Padezhki, Clara Wicharz, Charley M. Wu, Bernhard Spitzer
The paper shows that asymmetric learning, where beliefs about winners or losers are updated selectively, improves transitive inference in humans and aligns with cognitive distortions observed in psychophysics and behavioral economics.
Nature Human Behaviour · Jan 31, 2022Peer-reviewedNeuroscience