Entropy, Economics, Physics

Abstract

The entropy formula of information theory measures, in the limit, the minimum expected number of symbols needed to store or transmit a long sequence of decodable messages. It is not related to other quantities, also relevant to the cost, or relevant to the benefit, of information. And if it is at all useful to compare degrees of 'uncertainty', any concave symmetric function on probability space has the 'intuitively' desirable properties.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1974
Accession Number
ADA001069

Entities

People

  • Jacob Marschak

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Commerce
  • Data Science
  • Information Science
  • Information Theory
  • Military Research
  • New York
  • Operations Research
  • Physics
  • Probability
  • Probability Distributions
  • Random Variables
  • Security
  • Statistical Inference
  • Statistics
  • Systems Science
  • Uncertainty

Readers

  • Computer Programming and Software Development.
  • Theoretical Analysis.

Technology Areas

  • Space