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Causal LearningPsychology, Philosophy, and Computation$
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Alison Gopnik and Laura Schulz

Print publication date: 2007

Print ISBN-13: 9780195176803

Published to Oxford Scholarship Online: April 2010

DOI: 10.1093/acprof:oso/9780195176803.001.0001

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Teaching the Normative Theory of Causal Reasoning

Teaching the Normative Theory of Causal Reasoning

(p.119) 8 Teaching the Normative Theory of Causal Reasoning
Causal Learning

Richard Seheines

Matt Easterday

David Danks

Oxford University Press

Nearly all of the psychological research on human causal learning involves naïve participants; that is, individuals who have not been taught the normative theory in any way, shape, or form. Almost all of this research involves single-trial learning: observing how subjects form and update their causal beliefs from the outcome of a series of trials, each either an experiment on a single individual or a single episode of a system's behavior. No work is known to attempt to train people normatively on this and related tasks, and no work compares the performance of naïve participants and those taught the normative theory. This chapter describes such a project. The goal is to determine if formal education about normative causal reasoning helps students draw accurate causal inferences. The chapter is organized as follows. It first briefly describes what the authors' take to be the normative theory of causal reasoning. It then describes the online corpus developed for teaching it. Finally, it describes four pilot studies performed in the fall of 2004 with the Causality Lab, a major part of the online corpus.

Keywords:   normative theory, causal understanding, causal reasoning, causal learning, causal Bayes nets, online corpus

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