Vidal's library
Title: Artificial Social Intelligence
Author: William Sims Bainbridge, Edward E. Brent, Kathleen M. Carley, David R. Heise, Michael W. Macy, Barry Markovsky, and John Skvoretz
Journal: Annual Review of Sociology
Volume: 20
Pages: 407--436
Year: 1994
DOI: 10.1146/annurev.so.20.080194.002203
Abstract: Sociologists have begun to explore the gains for theory and research that might be achieved by artificial intelligence technology: symbolic processors, expert systems, neural networks, genetic algorithms, and classifier systems. The first major accomplishments of artifical 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 techiques remains unclear. To take advantage of the opporunities offere by ADI, sociologists will have to become more computer literate and will have to reconsider the place of programming and computer science in the sociological curriculum. ADI may be a revolutionary approach with the potential to rescue sociology from the doldrums unto which some observersbelieve it has fallen

Cited by 27  -  Google Scholar

@Article{bainbridge94a,
  author =	 {William Sims Bainbridge and Edward E. Brent and
                  Kathleen M. Carley and David R. Heise and Michael
                  W. Macy and Barry Markovsky and John Skvoretz},
  title =	 {Artificial Social Intelligence},
  googleid =	 {RfB9Koe4_3EJ:scholar.google.com/},
  journal =	 {Annual Review of Sociology},
  year =	 1994,
  volume =	 20,
  pages =	 {407--436},
  abstract =	 {Sociologists have begun to explore the gains for
                  theory and research that might be achieved by
                  artificial intelligence technology: symbolic
                  processors, expert systems, neural networks, genetic
                  algorithms, and classifier systems. The first major
                  accomplishments of artifical 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 techiques remains unclear. To
                  take advantage of the opporunities offere by ADI,
                  sociologists will have to become more computer
                  literate and will have to reconsider the place of
                  programming and computer science in the sociological
                  curriculum. ADI may be a revolutionary approach with
                  the potential to rescue sociology from the doldrums
                  unto which some observersbelieve it has fallen},
  keywords =     {ai sociology},
  doi =		 {10.1146/annurev.so.20.080194.002203},
  url =		 {http://jmvidal.cse.sc.edu/library/bainbridge94a.pdf},
  cluster = 	 {8214487136020066373}
}
Last modified: Wed Mar 9 10:13:56 EST 2011