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Related Concept Videos

Inductive Reasoning00:59

Inductive Reasoning

59.0K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
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Reasoning01:30

Reasoning

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Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
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Deductive Reasoning01:16

Deductive Reasoning

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Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
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The Nativist Approach01:21

The Nativist Approach

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The nativist approach to infant cognitive development proposes that infants are born with inherent knowledge structures that allow them to interpret the world almost immediately. This perspective contrasts with earlier developmental theories, such as those proposed by Jean Piaget, which emphasized a more gradual acquisition of cognitive abilities through interaction with the environment. One key concept in this approach is object permanence — the understanding that objects continue to...
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Cognitive Learning01:21

Cognitive Learning

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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...
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Cause and Effect01:53

Cause and Effect

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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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Related Experiment Video

Updated: May 3, 2026

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
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Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task

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Causal knowledge and the development of inductive reasoning.

Aimée K Bright1, Aidan Feeney2

  • 1Psychology Division, School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK.

Journal of Experimental Child Psychology
|February 13, 2014
PubMed
Summary
This summary is machine-generated.

Children

Keywords:
Category-based inductionCausal asymmetryCausal knowledgeInductive selectivityKnowledge over-generalizationTaxonomic knowledge

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Area of Science:

  • Cognitive Development
  • Developmental Psychology
  • Causal Inference

Background:

  • Inductive reasoning is crucial for knowledge acquisition.
  • Understanding causal relations develops throughout childhood.
  • Children's ability to infer causality is influenced by context and directionality.

Purpose of the Study:

  • To investigate the developmental trajectory of sensitivity to causal relations in children's inductive reasoning.
  • To examine how causal directionality (predictive vs. diagnostic) affects causal inferences.
  • To determine the role of taxonomic versus causal contexts in children's reasoning.

Main Methods:

  • Participants (5-, 8-, 12-year-olds, and adults) completed inductive reasoning tasks.
  • Tasks involved deciding property inheritance between taxonomically or causally related categories.
  • Causal links varied in direction (predictive/diagnostic) and context (taxonomic/causal).

Main Results:

  • A causal asymmetry effect was observed across all age groups, with more causal choices in predictive than diagnostic links.
  • Context-sensitive causal reasoning exhibited a curvilinear developmental pattern, peaking at 8 years old.
  • Older children and adults showed a decrease in causal choices, favoring taxonomic reasoning in taxonomic contexts.

Conclusions:

  • Simple causal relations may serve as a default knowledge structure for young children.
  • Sensitivity to the direction of causal links emerges early in development.
  • Children may initially over-generalize their causal knowledge, with refinement occurring later.