Editing Cognition (section)

====Knowledge representation====
The [[semantic network]] of [[Knowledge representation and reasoning|knowledge representation]] systems have been studied in various paradigms. One of the oldest paradigms is the [[leveling and sharpening]] of stories as they are repeated from memory studied by [[Frederic Bartlett|Bartlett]]. The [[semantic differential]] used [[factor analysis]] to determine the main meanings of words, finding that the [[ethical value]] of words is the first factor. More controlled experiments examine the categorical relationships of words in [[free recall]]. The hierarchical structure of words has been explicitly mapped in [[George Armitage Miller|George Miller]]'s [[WordNet]]. More dynamic models of semantic networks have been created and tested with computational systems such as [[neural network (machine learning)|neural networks]], [[latent semantic analysis]] (LSA), [[Bayesian analysis]], and multidimensional factor analysis. The meanings of words are studied by all the disciplines of [[cognitive science]].<ref>{{cite journal | vauthors = Pinker S, Bloom P | title = Natural language and natural selection. |date=December 1990 |journal=Behavioral and Brain Sciences |volume=13 |issue=4 |pages=707–727 |doi=10.1017/S0140525X00081061 | s2cid = 6167614 }}</ref>