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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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Introduction

Introduction

Chapter:
(p.1) Introduction
Source:
Causal Learning
Author(s):

Alison Gopni

Laura Schulz

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195176803.003.0001

This chapter provides a simple, clear, and (hopefully) amusing introduction to causal model and Bayes nets theories in computer science, the interventionist account of causation in philosophy, and the psychology of causal learning in both adults and children. It takes the form of a fictional e-mail exchange between a developmental psychologist and a philosopher/computer scientist in which each partner explains the background of their field to the other. In two attachments, the fictional authors review the literature on causal Bayes nets and on the psychology of causal inference.

Keywords:   concepts, folk theories, cognitive development, Bayesian inference, causal models, causal knowledge, causal learning, probabilistic models, statistical learning, Bayes nets

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