DocumentCode
800156
Title
On the history of AI applications. II. IEEE Conference on Artificial Intelligence Applications
Author
O´Leary, Daniel E.
Author_Institution
Univ. of Southern California, Los Angeles, CA, USA
Volume
10
Issue
1
fYear
1995
fDate
2/1/1995 12:00:00 AM
Firstpage
61
Lastpage
65
Abstract
An understanding of the history of AI applications through its primary conferences is important for several reasons. First, it provides insight into some of the pioneers to the field and their contributions. Second, it sheds light on the nature of the contributions of academic and nonacademic organizations to the field of AI applications. Third, the national origins of the organizations supporting AI applications reflect the international structure of AI applications. Accordingly, this review focuses on the authors of papers specializing in AI applications and their organizations and countries of origin, and on the program committee members, and their organizations and countries of origin. This review takes a quantitative approach to analyzing the history of AI applications. The IEEE Conference on Artificial Intelligence Applications (CAIA) is one of the first and longest running applications conferences to specialize on AI application issues. This article provides an initial view of the history of the CAIA and of AI applications in general since 1984. It gathers information regarding both the research papers and committee members, the two primary sources of data in the proceedings. This article considers quantity issues, making inferences based on various statistics. However, it ignores what might be called quality issues, since each paper goes through the same referee process required for the conference
Keywords
artificial intelligence; computer applications; history; professional aspects; societies; AI applications; IEEE Conference on Artificial Intelligence Applications; academic organizations; history; international structure; national origins; nonacademic organizations; pioneers; program committee members; quantitative approach; research papers; statistics;
fLanguage
English
Journal_Title
IEEE Expert
Publisher
ieee
ISSN
0885-9000
Type
jour
DOI
10.1109/64.391955
Filename
391955
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