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Related Concept Videos

Schemas01:42

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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Biological organization is the classification of biological structures, ranging from atoms at the bottom of the hierarchy to the Earth's biosphere. Each level of the hierarchy represents an increase in complexity that builds upon the previous level.
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The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
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Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
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Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

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Conceptual Organization is Revealed by Consumer Activity Patterns.

Adam N Hornsby1,2, Thomas Evans2, Peter S Riefer2

  • 11University College London, London, UK.

Computational Brain & Behavior
|May 27, 2020
PubMed
Summary
This summary is machine-generated.

Human concepts are organized around goals and interactions, not intrinsic features. Analyzing supermarket shopping data reveals how daily activities shape our understanding of the world.

Keywords:
Big dataCognitionComputational social scienceDecision makingMachine learning

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Area of Science:

  • Cognitive Science
  • Computational Linguistics
  • Behavioral Economics

Background:

  • Text corpora analysis offers insights into language and human concepts.
  • Text data is curated and may not fully represent real-world human activity.
  • Existing methods need validation with direct behavioral data.

Purpose of the Study:

  • To investigate human conceptual organization using direct activity patterns.
  • To compare concept formation from behavioral data versus text data.
  • To explore the link between conceptual knowledge and action.

Main Methods:

  • Utilized product co-occurrence data from 1.3 million supermarket shopping baskets.
  • Trained a topic model to identify 25 high-level concepts from purchasing behavior.
  • Assessed topic comprehensibility and coherence with retail experts and consumers.

Main Results:

  • Identified 25 coherent and comprehensible topics reflecting consumer behavior.
  • Found human concepts are primarily organized around goals/interactions (e.g., salad ingredients) rather than intrinsic features.
  • Individual differences in topic sampling correlated with demographic characteristics.

Conclusions:

  • Human activity patterns, like shopping behavior, directly reveal and potentially shape conceptual organization.
  • Conceptual knowledge appears tailored to support goal-oriented actions.
  • Behavioral data provides a valuable, less-curated alternative to text for studying human cognition.