Intelligence Measure

An Intelligence Measure is a performance test of an intelligent system's ability to perform an intelligence task.

• Context:
  • output: Intelligence Score.
  • It can (typically) evaluate Cognitive Ability through task performance.
  • It can (typically) assess Problem-Solving Capability through solution analysis.
  • It can (typically) measure Learning Capacity through adaptation testing.
  • It can (typically) gauge Reasoning Ability through logical assessment.
  • It can (typically) quantify Intelligence Level through standardized testing.
  • ...
  • It can (often) analyze Pattern Recognition through cognitive tasks.
  • It can (often) evaluate Abstract Thinking through conceptual problems.
  • It can (often) measure Knowledge Application through practical scenarios.
  • It can (often) assess Decision Making through choice analysis.
  • ...
  • It can range from being a Narrow Intelligence Measure to being a Cognition Measure, depending on its scope.
  • It can range from being a Single Domain Test to being a Multi-Domain Assessment, depending on its coverage.
  • It can range from being a Basic Intelligence Test to being an Advanced Cognitive Assessment, depending on its complexity.
  • ...
  • It can integrate with Intelligence Assessment for comprehensive evaluation.
  • It can support Performance Analysis through capability measurement.
  • It can inform Cognitive Development through progress tracking.
  • ...
• Examples:
  • Cognitive Performance Measures, such as:
    • General Intelligence Tests, such as:
      • IQ Measure for intellectual capability.
      • Cognitive Measure including Turing Test for machine intelligence.
    • Domain-Specific Intelligences, such as:
      • Mathematical Performance Measure for numerical ability.
      • Linguistic Performance Measure for language capability.
  • Specialized Intelligence Measures, such as:
    • Creative Intelligence Tests, such as:
      • Musical Ability Measure for artistic intelligence.
      • World-Modeling Ability Measure for conceptual thinking.
    • Applied Intelligence Tests, such as:
      • Chess Playing Measure for strategic thinking.
      • Acting-In-The-World Measure for practical intelligence.
  • Emotional Intelligence Measures, such as:
    • Emotional IQ Measure for emotional understanding.
    • Social Intelligence Test for interpersonal capability.
  • ...
• Counter-Examples:
  • Cognitive Impairment Test, which assesses mental deficits rather than intelligence level.
  • Mental Health Measure, which evaluates psychological wellbeing rather than cognitive ability.
  • Physical Fitness Measure, which tests bodily capability rather than mental capacity.
  • Physical Movement Measure, which assesses motor function rather than cognitive function.
• See: Expert Capability Test, Psychometric, Abstract Reasoning, Intelligence Assessment Framework, Cognitive Evaluation System.

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References

2009

• (WordNet, 2009) ⇒ http://wordnetweb.princeton.edu/perl/webwn?s=intelligence%20test
  • S: (n) intelligence test, IQ test (a psychometric test of intelligence) "they used to think that intelligence is what an intelligence test tests"

2005

• (Johnson & Bourchard Jr., 2005) ⇒ Wendy Johnson, and Thomas J. Bouchard Jr. (2005). “The Structure of Human Intelligence: It is verbal, perceptual, and image rotation (VPR), not fluid and crystallized.” In: Intelligence, 33 393–416. doi:10.1016/j.intell.2004.12.002
  • QUOTE: In a heterogeneous sample of 436 adult individuals who completed 42 mental ability tests, we evaluated the relative statistical performance of three major psychometric models of human intelligence — the Cattell–Horn fluid-crystallized model, Vernon's verbal–perceptual model, and Carroll's three-strata model. The verbal–perceptual model fit significantly better than the other two. We improved it by adding memory and higher-order image rotation factors. The results provide evidence for a four-stratum model with a g factor and three third-stratum factors. The model is consistent with the idea of coordination of function across brain regions and with the known importance of brain laterality in intellectual performance. We argue that this model is theoretically superior to the fluid-crystallized model and highlight the importance of image rotation in human intellectual function.

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