Unlimited Associative Learning as a Null Hypothesis.

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 associati...

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Publicado en:Philosophy of Science Vol. 89; no. 5; pp. 1186 - 1196
Autor principal: Halina, Marta
Formato: Artículo
Publicado: Cambridge University Press Dec2022
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Unlimited Associative Learning as a Null Hypothesis.
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        au: Halina, Marta
        affil: Department of History and Philosophy of Science, University of Cambridge, Cambridge, UK
      su:
        Associative learning
        Null hypothesis
        Problem solving
        Information processing
        Problem solving in children
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          Associative learning
          Null hypothesis
          Problem solving
          Information processing
          Problem solving in children
      ab: 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.
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    language: English
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