Landmark learning: An illustration of associative search
- 1 November 1981
- journal article
- research article
- Published by Springer Nature in Biological Cybernetics
- Vol. 42 (1) , 1-8
- https://doi.org/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.This publication has 5 references indexed in Scilit:
- Associative search network: A reinforcement learning associative memoryBiological Cybernetics, 1981
- A model regulatory system: bacterial chemotaxisPhysiological Reviews, 1979
- Distinctive features, categorical perception, and probability learning: Some applications of a neural model.Psychological Review, 1977
- Associative MemoryPublished by Springer Nature ,1977
- Neural theory of association and concept-formationBiological Cybernetics, 1977