DocumentCode
2921331
Title
Reducing the cost of designing, implementing and modifying intelligent systems by the synergistic use of advanced abstractions
Author
Brown, Frank M.
Author_Institution
Artificial Intelligence Lab., Kansas Univ., Lawrence, KS, USA
fYear
1998
fDate
14-17 Sep 1998
Firstpage
193
Lastpage
198
Abstract
This paper investigates and describes how advanced programming language capabilities can be used to significantly reduce the cost of implementing computer programs for large complex computer programming requirements of the Department of Defense. Representative programming tasks that are discussed include the Navy AEGIS Weapons system and an Air Force planning benchmark used to asses various DARPA supported automatic planning systems. These examples show that programming languages, such as Logistica, which allow a wide variety of synergistic features can provide the most effective way for reducing the complexity of the programming task. It is also suggested that the complexity of the programming process is worse than linear with respect to the size of the resulting program code, the size of the code is inversely proportional to the used design space of the programming language, and the design space provided by a programming language is exponentially related to the number of synergistic features it has
Keywords
high level languages; knowledge based systems; military computing; planning (artificial intelligence); programming; Air Force planning benchmark; DARPA; Navy AEGIS Weapons system; abstractions; advanced programming language; intelligent systems; synergistic features; Artificial intelligence; Computer languages; Costs; Graphics; Humans; Intelligent systems; Laboratories; Large-scale systems; Linear programming; Programming profession;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings
Conference_Location
Gaithersburg, MD
ISSN
2158-9860
Print_ISBN
0-7803-4423-5
Type
conf
DOI
10.1109/ISIC.1998.713659
Filename
713659
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