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Related Concept Videos

Cognitive Learning01:21

Cognitive Learning

Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Imprinting01:22

Imprinting

Behavioral imprinting is observed in some newborn animals and occurs when they develop strong and specific attachments to another animal (usually a parent) following brief, early-life exposures. Offspring imprint onto parents within a brief period after birth or hatching; this time window is called the critical period. Once imprinting occurs, the bond established between the parents and their offspring is usually long-lasting.
Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
Criteria for Causality: Bradford Hill Criteria - II01:28

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The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
Criteria for Causality: Bradford Hill Criteria - I01:30

Criteria for Causality: Bradford Hill Criteria - I

The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
Cause and Effect01:53

Cause and Effect

While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?

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Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm
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Published on: April 28, 2016

Causal imprinting in causal structure learning.

Eric G Taylor1, Woo-Kyoung Ahn

  • 1Yale University, Psychology Department, 2 Hillhouse Avenue, New Haven, CT 06520, United States. eric.taylor@yale.edu

Cognitive Psychology
|August 4, 2012
PubMed
Summary
This summary is machine-generated.

People struggle to update causal beliefs, even when new evidence contradicts them. This phenomenon, called causal imprinting, shows how initial learning can resist revision, impacting our understanding of cause and effect.

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Area of Science:

  • Cognitive Science
  • Psychology
  • Causal Inference

Background:

  • Humans often infer causation from observed correlations.
  • Prior causal beliefs can be resistant to revision, even with contradictory evidence.

Purpose of the Study:

  • To investigate the phenomenon of "causal imprinting," where initial causal beliefs are difficult to revise.
  • To determine the conditions under which causal imprinting occurs and its normative status.

Main Methods:

  • Four experiments were conducted using multiple dependent measures and control conditions.
  • Participants observed correlations between events and were later presented with evidence that explained away the correlation.
  • Bayesian analysis was used to assess the normativity of causal judgments.

Main Results:

  • Participants persisted in believing an initial causal relationship (B causes C) even after learning that a third event (A) explained it away.
  • Causal imprinting occurred even when revising the belief was clearly non-normative.
  • The order of evidence presentation influenced causal belief revision, suggesting prior knowledge impacts interpretation.

Conclusions:

  • Causal imprinting represents a significant difficulty in revising learned causal structures.
  • Prior knowledge and the interpretation of later evidence play a crucial role in causal imprinting.
  • Understanding causal imprinting is key to understanding human causal reasoning and belief updating.