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ARTIFICIAL INTELLIGENCE.

Authors :
Bainbridge, William Sims
Brent, Edward E.
Carley, Kathleen M.
Heise, David R.
Macy, Michael W.
Markovsky, Barry
Skvoretz, John
Source :
Annual Review of Sociology. 1994, Vol. 20 Issue 1, p407-436. 30p.
Publication Year :
1994

Abstract

Sociologists have begun to explore the gains for theory and research that might be achieved artificial intelligence technology: symbolic processors, expert systems, neural networks, genetic algorithms, and classifier systems. The first major accomplishments of artificial social intelligence (ASI) have been in the realm of theory, where these techniques have inspired new theories as well as helping to render existing theories more rigorous. Two application areas for which ASI holds great promise are the sociological analysis of written texts and data retrieval from the forthcoming Global Information Infrastructure. ASI has already been applied to some kinds of statistical analysis, but how competitive it will be with more conventional techniques remains unclear. To take advantage of the opportunities offered by ASI, sociologists will have to become more computer literate and will have to reconsider the place of programming and computer science in the sociological curriculum. ASI may be a revolutionary approach with the potential to rescue sociology from the doldrums into which some observers believe it has fallen. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03600572
Volume :
20
Issue :
1
Database :
Academic Search Index
Journal :
Annual Review of Sociology
Publication Type :
Academic Journal
Accession number :
9409062873
Full Text :
https://doi.org/10.1146/annurev.so.20.080194.002203