Artificial Social Intelligence Export

@article{bainbridge94a, 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}, author = {Bainbridge, William S. and Brent, Edward E. and Carley, Kathleen M. and Heise, David R. and Macy, Michael W. and Markovsky, Barry and Skvoretz, John}, citeulike-article-id = {1585700}, citeulike-linkout-0 = {http://jmvidal.cse.sc.edu/library/bainbridge94a.pdf}, doi = {10.1146/annurev.so.20.080194.002203}, journal = {Annual Review of Sociology}, keywords = {ai, bibtex-import, sociology}, pages = {407--436}, posted-at = {2007-08-23 14:42:24}, priority = {2}, title = {Artificial Social Intelligence}, url = {10.1146/annurev.so.20.080194.002203}, volume = {20}, year = {1994} }

TY - JOUR ID - bainbridge94a L3 - citeulike-article-id:1585700 N2 - 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 JF - Annual Review of Sociology EP - 436 TI - Artificial Social Intelligence VL - 20 SP - 407 KW - ai KW - bibtex-import KW - sociology AU - Bainbridge, William AU - Brent, Edward AU - Carley, Kathleen AU - Heise, David AU - Macy, Michael AU - Markovsky, Barry AU - Skvoretz, John PY - 1994/// UR - http://jmvidal.cse.sc.edu/library/bainbridge94a.pdf ER -