Glossary:Spreading activation: Difference between revisions
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'''Spreading activation''' is a method of activating nodes in a neural network, semantic network, directed graph, etc. In SuperMemo, the graph is formed by semantic connections of the knowledge tree, concept links and inter-element links. '''Spreading activation''' is used to | '''Spreading activation''' is a method of activating nodes in a neural network, semantic network, directed graph, etc. In SuperMemo, the graph is formed by semantic connections of the knowledge tree, concept links and inter-element links. '''Spreading activation''' is used to sequence elements for '''neural review'''. This is a new form of semantic review in SuperMemo, where new elements are fed ''neurally'' for review. This approach is useful in enhancing creativity and problem solving. To get a taste of '''neural review''' choose '''Learn : Go neural'''. For more see Wikipedia: [https://en.wikipedia.org/wiki/Spreading_activation Spreading activation] | ||
Revision as of 19:11, 25 February 2016
Spreading activation is a method of activating nodes in a neural network, semantic network, directed graph, etc. In SuperMemo, the graph is formed by semantic connections of the knowledge tree, concept links and inter-element links. Spreading activation is used to sequence elements for neural review. This is a new form of semantic review in SuperMemo, where new elements are fed neurally for review. This approach is useful in enhancing creativity and problem solving. To get a taste of neural review choose Learn : Go neural. For more see Wikipedia: Spreading activation