Abstract | ||
---|---|---|
Veristic computing is defined to mean computing with words. It necessarily entails the use of informed search in the solution of qualitatively constrained equations. Its use does not preclude computing with numbers. Versitic computing allows for the specification of higher-level programming languages, which can evolve domain-specific knowledge bases. The knowledge is evolved on a high-end computer for subsequent porting to a PC. The application of that knowledge to the translation of a higher-level program is termed, expert compilation. This paper serves to make clear the ubiquitous role assumed by randomization in all aspects of software engineering - from programming language design to program design to program testing to knowledge transference. |
Year | DOI | Venue |
---|---|---|
2001 | 10.1109/ICSMC.2001.972900 | 2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: E-SYSTEMS AND E-MAN FOR CYBERNETICS IN CYBERSPACE |
Keywords | Field | DocType |
data mining, expert compilers, knowledge discovery, randomization, transference | Programming language,Computer science,Knowledge transfer,Program Design Language,Software,High-level programming language,Artificial intelligence,Porting,Ubiquitous computing,Application software,Machine learning,Knowledge acquisition | Conference |
ISSN | Citations | PageRank |
1062-922X | 3 | 0.73 |
References | Authors | |
2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stuart H. Rubin | 1 | 199 | 31.06 |
Robert J. Rush Jr. | 2 | 4 | 1.78 |
JAMES BOERKE | 3 | 4 | 1.11 |
Ljiljana Trajkovic | 4 | 295 | 35.23 |