Symmetrical "super learning": Enhancing causal learning using a bidirectional probabilistic outcome.

Santiago Castiello, Gabriella FitzGerald, Georgina M Aisbitt, A G Baker, Robin A Murphy
Author Information
  1. Santiago Castiello: University of Oxford, Department of Experimental Psychology. ORCID
  2. Gabriella FitzGerald: University of Oxford, Department of Experimental Psychology.
  3. Georgina M Aisbitt: University of Oxford, Department of Experimental Psychology.
  4. A G Baker: McGill University, Department of Psychology.
  5. Robin A Murphy: University of Oxford, Department of Experimental Psychology. ORCID

Abstract

In a learning environment, with multiple predictive cues for a single outcome, cues interfere with or enhance each other during the acquisition process (e.g., Baker et al., 1993). Previous experiments have focused on cues that signal the presence or absence of binary outcomes. This introduces a perceptual and perhaps motivational asymmetry between excitatory and inhibitory learning. Here, using a bidirectional outcome, we asked whether learning about both generative (incremental positive outcome) and preventative (incremental negative outcome) causal cues show similar enhancement effects in opposite directions. In three experiments with humans using predictive learning tasks, participants (N = 133) were exposed to probabilistic predictive cues for opposite polarity events. Generative cues caused an increase in outcome likelihood, while preventative cues decreased it. An analysis of explicit predictive ratings found evidence for symmetrical learning and enhanced learning for both generative and preventative cues. The results are discussed in relation to super learning, an effect derived from theories of competitive learning based on error correction and theories of contrasting probability estimates. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

MeSH Term

Humans
Cues
Female
Adult
Male
Young Adult
Probability Learning
Learning
Adolescent
Probability

Word Cloud

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