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Introduction

In: Learning Algorithms Theory and Applications

Author

Listed:
  • S. Lakshmivarahan

    (University of Oklahoma, School of Electrical Engineering and Computer Science)

Abstract

Learning has been the interest of psychologists and mathematicians for decades and more recently, of engineers and computer-scientists. The interest of a psychologist or a mathematician in learning is to explain or describe the way in which animals learn to do a variety of skills by observing the changes in their behavior. Such an approach may be termed as the descriptive approach. A wide range of mathematical models have been developed for this purpose. The work by Bush and Mosteller [B10], Luce [L14] Hilgard [H4], Norman [N10], Iosifescu and Theodorescu [12] to mention a few, belong to this category. On the contrary, in systems theory and computer science the aim is to develop a computer program or build a machine, perhaps in the context of pattern recognition or artificial intelligence, which will learn to perform certain prespecified tasks such as to play games or classify a class of x-ray pictures and diagnose disease, etc. Fu [F4] [F5] [F6], Tsypkin [T4] [T5], Sklansky [S9], Mendel [M6 [M7], Saridis [S4], Nilsson [N9], Csibi [C10] Slagle [S10], Fukunaga [F8]. Such an approach is often called the prescriptive approach to learning.

Suggested Citation

  • S. Lakshmivarahan, 1981. "Introduction," Springer Books, in: Learning Algorithms Theory and Applications, chapter 0, pages 1-18, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4612-5975-6_1
    DOI: 10.1007/978-1-4612-5975-6_1
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