A Distinctiveness Model of Serial Learning. Johnson, G. J. Psychol Rev, 98(2):204–17, 1991.
abstract   bibtex   
An associative model of serial learning is described. The model is based on the assumption that the effective stimulus for a serial-list item is generated by adaptation-level coding of the item's ordinal position. The psychophysical concept of distinctiveness is used to quantify the strength of intralist competing associations. Illustrations are given on how the model may be used to generate predictions concerning the fundamental aspects of serial learning data: difficulty as a function of list length, performance as a function of amount of training, serial-position effects at various stages of learning, and the shape of the gradient of remote intrusions as a function of acquisition level.
@Article{Johnson1991a,
  author   = {G. J. Johnson},
  journal  = {Psychol Rev},
  title    = {A Distinctiveness Model of Serial Learning},
  year     = {1991},
  number   = {2},
  pages    = {204--17},
  volume   = {98},
  abstract = {An associative model of serial learning is described. The model is
	based on the assumption that the effective stimulus for a serial-list
	item is generated by adaptation-level coding of the item's ordinal
	position. The psychophysical concept of distinctiveness is used to
	quantify the strength of intralist competing associations. Illustrations
	are given on how the model may be used to generate predictions concerning
	the fundamental aspects of serial learning data: difficulty as a
	function of list length, performance as a function of amount of training,
	serial-position effects at various stages of learning, and the shape
	of the gradient of remote intrusions as a function of acquisition
	level.},
}

Downloads: 0