Abstract
To describe and explain the world, scientists search for equations that quantify relations among relevant variables. We wanted to assist these efforts by a computer program inspired by genetic programing. Using realworld data, the program discovered equations that outperformed, in terms of accuracy, published expressions. Moreover, the research indicated that somewhat different formulas may be needed in different geographical regions. The latter observation appears to be due to "hidden" parameters that were not included in the available data.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007 |
| Pages | 638-639 |
| Number of pages | 2 |
| State | Published - Dec 28 2007 |
| Event | 20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007 - Key West, FL, United States Duration: May 7 2007 → May 9 2007 |
Other
| Other | 20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007 |
|---|---|
| Country | United States |
| City | Key West, FL |
| Period | 5/7/07 → 5/9/07 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Software
Cite this
Automated search for the quantitative laws affecting CO 2 fugacity in sea water. / Wickramaratna, Kasun; Kubat, Miroslav; Minnett, Peter J.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007. 2007. p. 638-639.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Automated search for the quantitative laws affecting CO 2 fugacity in sea water
AU - Wickramaratna, Kasun
AU - Kubat, Miroslav
AU - Minnett, Peter J
PY - 2007/12/28
Y1 - 2007/12/28
N2 - To describe and explain the world, scientists search for equations that quantify relations among relevant variables. We wanted to assist these efforts by a computer program inspired by genetic programing. Using realworld data, the program discovered equations that outperformed, in terms of accuracy, published expressions. Moreover, the research indicated that somewhat different formulas may be needed in different geographical regions. The latter observation appears to be due to "hidden" parameters that were not included in the available data.
AB - To describe and explain the world, scientists search for equations that quantify relations among relevant variables. We wanted to assist these efforts by a computer program inspired by genetic programing. Using realworld data, the program discovered equations that outperformed, in terms of accuracy, published expressions. Moreover, the research indicated that somewhat different formulas may be needed in different geographical regions. The latter observation appears to be due to "hidden" parameters that were not included in the available data.
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UR - http://www.scopus.com/inward/citedby.url?scp=37349091593&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:37349091593
SN - 1577353196
SN - 9781577353195
SP - 638
EP - 639
BT - Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007
ER -