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Transitive responding in animals and humans: Exaptation rather than adaptation?

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Summary

Transitive inference, the ability to deduce relationships, is common in many species. A simple learning model explains this behavior, even in cases where logic might seem to be used.

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Area of Science:

  • Cognitive Science
  • Animal Behavior
  • Neuroscience

Background:

  • Animals must navigate complex environments for survival and reproduction.
  • Cognitive abilities, such as transitive inference, aid in this navigation.
  • Transitive inference is the ability to deduce relationships, e.g., if A>B and B>C, then A>C.

Purpose of the Study:

  • To investigate transitive inference abilities in non-human animals.
  • To review and evaluate theories explaining transitive behavior.
  • To present a learning model that simulates transitive responding.

Main Methods:

  • A non-verbal multiple instrumental discrimination task was used for animals.
  • Premise pairs (e.g., A+B-, B+C-) were used for training.
  • Transitive responding was tested using novel pairs (e.g., B∘D∘).

Main Results:

  • Pigeons, rats, monkeys, apes, and humans commonly exhibit transitive preferences.
  • A simple algebraic learning model effectively simulates observed transitive behavior.
  • Value transfer, while present, plays a minor role; classical conditioning is key.
  • A modified model accounts for individuals failing to respond transitively.

Conclusions:

  • Transitive responding can be explained by learning mechanisms, not necessarily complex logic.
  • An algebraic learning model, convertible to a neural network, robustly simulates results.
  • The evolution of transitive responding is linked to environmental demands and biological constraints.