ON THE ROLE OF DYNAMIC PROGRAMMING IN STATISTICAL COMMUNICATION THEORY

Abstract

The object of the paper is to show that the fundamental problem of determining the utility of a communication channel in conveying information can be interpreted as a problem within the framework of multi-stage decision processes of stochastic type and as such may be treated by means of the theory of dynamic programming.

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Document Details

Document Type
Technical Report
Publication Date
Dec 19, 1956
Accession Number
AD0605099

Entities

People

  • Richard E. Bellman
  • Robert E. Kalaba

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Communication Channels
  • Communication Systems
  • Computer Programming
  • Dynamic Programming
  • Economic Forecasting
  • Equations
  • Information Theory
  • Learning
  • Mathematical Analysis
  • Mathematical Models
  • Models
  • Observation
  • Observers
  • Probability
  • Sequences
  • Sequential Analysis
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Operations Research
  • Radio communications and signal processing.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.