A Native Intelligence Metric for Artificial Systems

Abstract

We define native intelligence as the specified complexity inherent in the information content of an artificial system. The artificial system is defined as a system that can be encoded in some general purpose language, expressed minimally as some finite length bit string, and decoded by a finite set of rules defined a priori. Using this definition of native intelligence, we employ a chance elimination argument in the literature to form a simple, but promising native intelligence metric. Several anticipated objections to this native intelligence metric are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2002
Accession Number
ADA516080

Entities

People

  • John A. Horst

Organizations

  • National Institute of Standards and Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Programs
  • Control Systems
  • Differential Equations
  • Environment
  • Equations
  • Evolutionary Algorithms
  • Information Theory
  • Intelligent Systems
  • Linear Systems
  • Materials
  • Measurement
  • Probability
  • Semantics
  • Simulations
  • Standards

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design