Artificial Social Intelligence

Author:

Bainbridge William Sims1,Brent Edward E.2,Carley Kathleen M.3,Heise David R.4,Macy Michael W.5,Markovsky Barry6,Skvoretz John7

Affiliation:

1. Sociology Program Director, National Science Foundation, 4201 Wilson Boulevard, Arlington, Virginia 22230

2. University of Missouri, Columbia, Missouri 65201

3. Carnegie-Mellon University, Pittsburgh, Pennsylvania 15213

4. Indiana University, Bloomington, Indiana 47401

5. Brandeis University, Waltham, Massachusetts 02154

6. University of Iowa, Iowa City, Iowa 52242

7. University of South Carolina, Columbia, South Carolina 29208

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 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.

Publisher

Annual Reviews

Subject

Sociology and Political Science

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