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The History of Autonomous Learning

  • Michael Paluszek
  • Stephanie Thomas
Chapter

Abstract

In the previous chapter you were introduced to autonomous learning. You saw that autonomous learning could be divided into the areas of machine learning, controls, and artificial intelligence (AI). In this chapter you will learn how each area evolved. Automatic control predates AI. However, we are interested in adaptive or learning control, which is a relatively new development and really began evolving around the time that AI had its foundations. Machine learning is sometimes considered an offshoot of AI. However, many of the methods used in machine learning came from different fields of study such as statistics and optimization.

Keywords

Machine Learning Adaptive Control Machine Translation Autonomous Learning General Problem Solver 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. [1]
    K. J. Åström and B. Wittenmark. Adaptive Control, Second Edition. Addison-Wesley, 1995.Google Scholar
  2. [2]
    S. Haykin. Neural Networks. Prentice-Hall, 1999.Google Scholar
  3. [3]
    P. Jackson. Introduction to Expert Systems, Third Edition. Addison-Wesley, 1999.Google Scholar
  4. [4]
    S. Russell and P. Norvig. Artificial Intelligence: A Modern Approach, Third Edition. Prentice-Hall, 2010.Google Scholar

Copyright information

© Michael Paluszek, Stephanie Thomas  2017

Authors and Affiliations

  • Michael Paluszek
    • 1
  • Stephanie Thomas
    • 1
  1. 1.New JerseyUSA

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