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Related Concept Videos

Reasoning01:30

Reasoning

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,...
Deductive Reasoning01:16

Deductive Reasoning

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...
Inductive Reasoning00:59

Inductive Reasoning

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...
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
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?
Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

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:

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Related Experiment Video

Updated: May 28, 2026

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
06:08

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

Published on: July 22, 2025

Reasoning from connectives and relations between entities.

Robert Mackiewicz1, Philip N Johnson-Laird

  • 1Department of Psychology, Warsaw School of Social Sciences and Humanities, Chodakowska 19/31, 03-815 Warsaw, Poland. robert.mackiewicz@swps.edu.pl

Memory & Cognition
|October 18, 2011
PubMed
Summary
This summary is machine-generated.

People make more valid inferences from biconditionals than exclusive disjunctions. Cognitive reasoning with logical connectives and relational inferences is better understood using the theory of mental models.

Related Experiment Videos

Last Updated: May 28, 2026

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
06:08

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

Published on: July 22, 2025

Area of Science:

  • Cognitive Psychology
  • Logic
  • Linguistics

Background:

  • Human reasoning often involves complex logical connectives and relational statements.
  • Understanding how individuals process these structures is key to cognitive science.

Purpose of the Study:

  • To investigate how people make inferences from biconditionals and exclusive disjunctions.
  • To examine the role of affirmative and negative premises in transitive inferences.
  • To test the predictive power of the theory of mental models.

Main Methods:

  • Experimental design comparing inference validity across different logical connectives.
  • Presentation of conditional and biconditional statements involving relational terms.
  • Analysis of participant responses to assess inference accuracy.

Main Results:

  • Participants drew more valid inferences from biconditionals than exclusive disjunctions.
  • Inference patterns varied based on whether premises affirmed or denied clauses.
  • Individuals sometimes incorrectly inferred possibilities from exclusive disjunctions, a finding predicted by mental models theory.

Conclusions:

  • The theory of mental models accurately predicts human reasoning patterns with logical connectives and relational inferences.
  • Distinctions in processing biconditionals versus exclusive disjunctions are significant.
  • Premise affirmation/denial critically influences transitive reasoning.