This research is attempting to understand the engineering aspects of large-scale systems that are qualitatives, knowledge intensive and nonalgorithmic in nature as opposed to conventional investigations into the quantitative and algorithmic methodology commonly used for design and analysis. The vehicle for these investigations is the problem of on-line security assessment, an important problem now and for future systems. The potential payoff for this hi-risk work is high and would alter the current direction of algorithmic-based design tools to one of recognition of accumulated knowledge an expertise as a legitimate basis for engineering design and synthesis.

Agency
National Science Foundation (NSF)
Institute
Division of Electrical, Communications and Cyber Systems (ECCS)
Application #
8715476
Program Officer
Vijay Vittal
Project Start
Project End
Budget Start
1987-12-15
Budget End
1991-11-30
Support Year
Fiscal Year
1987
Total Cost
$149,819
Indirect Cost
Name
Carnegie-Mellon University
Department
Type
DUNS #
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213