Biological Cybernetics

, Volume 42, Issue 1, pp 1–8

Landmark learning: An illustration of associative search

Authors

  • Andrew G. Barto
    • Department of Computer and Information ScienceUniversity of Massachusetts
  • Richard S. Sutton
    • Department of Computer and Information ScienceUniversity of Massachusetts
Article

DOI: 10.1007/BF00335152

Cite this article as:
Barto, A.G. & Sutton, R.S. Biol. Cybern. (1981) 42: 1. doi:10.1007/BF00335152

Abstract

In a previous paper we defined the associative search problem and presented a system capable of solving it under certain conditions. In this paper we interpret a spatial learning problem as an associative search task and describe the behavior of an adaptive network capable of solving it. This example shows how naturally the associative search problem can arise and permits the search, association, and generalization properties of the adaptive network to bee clearly illustrated.

Copyright information

© Springer-Verlag 1981