An Information-Theoretic Predictive Model for the Accuracy of AI Agents Adapted from Psychometrics

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Artificial General Intelligence

• Publication date

  2017-08-15

• Fields of study

  Computer Science, Psychology

• Identifiers
  DOI 10.1007/978-3-319-63703-7_21
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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  2008cited by this paper
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  1997cited by this paper
• Optimizing group judgmental accuracy in the presence of interdependencies

  1984cited by this paper
• On the Complexity of Finite Sequences

  1976cited by this paper
• Primary Mental Abilities.

  1971cited by this paper
• Statistical Theories of Mental Test Scores.

  1971cited by this paper
• Three approaches to the quantitative definition of information

  1968cited by this paper
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  1962cited by this paper
• Computing Machinery and Intelligence

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