| [Edit]
Spreading activation is a method for searching semantic networks by labeling a set of source concepts with weights or "activation" and then iteratively propagating or "spreading" that activation out to other concepts linked to the source concepts or their children. Most often these "weights" are real values that decay as activation propagates through the network. When the weights are discrete this process is often referred to as marker passing.
Spreading activation models are used in cognitive psychology to model the fan out effect.
top
See Also
|
|
