Historical sociology of neural network research
dc.contributor.author
Olazaran Rodriguez, Jose Miguel
en
dc.date.accessioned
2017-02-14T12:22:47Z
dc.date.available
2017-02-14T12:22:47Z
dc.date.issued
1991
dc.description.abstract
It has been argued that science is generated and validated through processes of controversy, and that controversies are 'closed' through 'rhetorical' processes of 'enrolment of heterogeneous allies and resources.' It has also been argued that, once a controversy is closed, it is increasingly difficult for the 'losing' position to maintain the plausibility of its views, arguments, and interpretations (words like 'reification,' 'inertia,' and 'institutionalisation' have been used to refer to this). Controversies have shaped neural network research throughout its history, from the 1950s to the 1980s. In this dissertation I analyse the history of neural network research using a 'controversy/rhetorical tactics/enrolment of allies and resources/closure' scheme. I claim that the result is a useful and powerful interpretation of the main developments of the evolution of neural network research. The neural network controversy is especially interesting because it was once (in the late 1960s) closed against neural networks, and twenty years later (in the late 1980s) it was reopened. The history of neural network research can be seen as the history of the closure and reopening of the neural network controversy.
en
dc.identifier.uri
http://hdl.handle.net/1842/20075
dc.publisher
The University of Edinburgh
en
dc.relation.ispartof
Annexe Thesis Digitisation Project 2016 Block 7
en
dc.relation.isreferencedby
Already catalogued
en
dc.title
Historical sociology of neural network research
en
dc.type
Thesis or Dissertation
en
dc.type.qualificationlevel
Doctoral
en
dc.type.qualificationname
PhD Doctor of Philosophy
en
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