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Related Concept Videos

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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Inductive Reasoning00:59

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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.
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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.
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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...
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Schemas

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Statically Indeterminate Problem Solving01:16

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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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Block Building Task Identifies Distinct Groups of Left/Right-hand Choice Patterns After Unilateral Peripheral Nerve Injury
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Consistency and Variation in Reasoning About Physical Assembly.

William P McCarthy1, David Kirsh1, Judith E Fan2,3

  • 1Department of Cognitive Science, University of California San Diego.

Cognitive Science
|December 26, 2023
PubMed
Summary
This summary is machine-generated.

Humans improve at reconstructing novel block towers with practice. This learning involves both group-level strategy convergence and individual error correction, enhancing physical reasoning skills.

Keywords:
ActionConstructionIntuitive physicsPlanningSpatial reasoning

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Area of Science:

  • Cognitive Science
  • Human-Computer Interaction
  • Physics Simulation

Background:

  • Human ability to infer object construction is crucial for everyday tasks.
  • Understanding how prior experience refines this reasoning is key.

Purpose of the Study:

  • Investigate how people develop step-by-step procedures for recreating novel physical objects.
  • Analyze the evolution of these procedures across repeated attempts.

Main Methods:

  • Developed a virtual reality environment simulating rigid-body physics.
  • Participants (N=105) reconstructed 2D block tower silhouettes within time constraints.
  • Analyzed procedural changes across multiple building attempts.

Main Results:

  • Participants improved accuracy and speed in reconstructing block towers over repeated trials.
  • Observed group-level convergence on a limited set of effective building procedures.
  • Identified error-dependent updating influencing individual procedural refinement.

Conclusions:

  • Demonstrates a scalable method for measuring consistency and variation in inferring physical assembly solutions.
  • Highlights the interplay of social learning and individual adaptation in procedural skill acquisition.