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Unlimited Associative Learning as a Null Hypothesis

Published online by Cambridge University Press:  25 May 2022

Marta Halina
Marta Halina*
Affiliation:
Department of History and Philosophy of Science, University of Cambridge, Cambridge, UK
*
Email: mh801@cam.ac.uk
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Abstract

A common strategy in comparative cognition is to require that one reject associative learning as an explanation for behavior before concluding that an organism is capable of causal reasoning. In this paper, I argue that standard causal-reasoning tasks can be explained by a powerful form of associative learning: unlimited associative learning (UAL). The lesson, however, is not that researchers should conduct more studies to reject UAL, but that they should instead focus on 1) enriching the cognitive hypothesis space and 2) testing a broader range of information processing patterns—errors, biases and limits, rather than successful problem solving alone.

Information

Type
Symposia Paper
Information
Philosophy of Science , Volume 89 , Issue 5 , December 2022 , pp. 1186 - 1195
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the Philosophy of Science Association

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