Landmark learning: An illustration of associative search
Copyright policy )Landmark learning: An illustration of associative search
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 be clearly illustrated.
- University of Massachusetts Amherst United States
- University of Massachusetts System United States
Learning and adaptive systems in artificial intelligence, Association Learning, Environment, Models, Psychological, adaptive network, Humans, Learning, Noise, General biology and biomathematics, Mathematics
Learning and adaptive systems in artificial intelligence, Association Learning, Environment, Models, Psychological, adaptive network, Humans, Learning, Noise, General biology and biomathematics, Mathematics
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