DYNAMIC PROGRAMMING, LEARNING, AND ADAPTIVE PROCESSES

Abstract

The intensive study in recent years of a variety of descriptive and variational processes, such as those which arise in biology, psychology, engineering, and economics, has uncovered many problems which are too complex to be solved by classical mathematical techniques. In order to describe some of the difficulties involved, the essentials of the classical approach for dealing with processes of this sort, in which there is insufficient information about the state variables, are reviewed. Some of the ways in which dynamic programming and adaptive control may be used to bridge the gap between classical and modern theories are indicated. Problems encountered in the study of adaptive processes are discussed and some directions for future research are suggested.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1964
Accession Number
AD0605496

Entities

People

  • Richard E. Bellman

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Calculus Of Variations
  • Computer Programming
  • Control Systems
  • Difference Equations
  • Differential Equations
  • Digital Computers
  • Dynamic Programming
  • Economics
  • Engineering
  • Equations
  • Euler Equations
  • Learning
  • Mathematical Analysis
  • New Jersey
  • Probability
  • Probability Distributions
  • Random Variables

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Theoretical Analysis.