TY - GEN
T1 - Forensic reasoning about paleoclimatology
AU - De Vesine, Laura Rassbach
AU - Anderson, Ken
AU - Zreda, Marek
AU - Zweck, Chris
AU - Bradley, Liz
PY - 2013
Y1 - 2013
N2 - Human experts in many scientific fields routinely employ heuristics that are unproven and possible conclusions that are contradictory. We present a deployed software system for cosmogenic isotope dating, a domain that is fraught with these difficult issues. This system, which is called ACE ("age calculation engine"), takes as inputs the nuclide densities in a set of rock samples taken from a landform. It reasons from these data - which capture how long those rocks have been exposed to the sky - to answer the scientific question "What geological processes could have produced this distribution of nuclide concentrations, and over what time scales?" To do this, ACE employs an encoded knowledge base of the possible processes that may have acted on that landform in the past, complete with the mathematics of how those processes can affect samples, and it uses a custom workflow system to encode the computations associated with this scientific analysis. The system remains in active use to this day; the project website (ace.hwr.arizona.edu) has received over 17,000 hits since 2008 and the software (∼20,000 lines of python code) has been downloaded nearly 600 times as of April 2013, which is a significant number in a research community of O(102) PI-level scientists.
AB - Human experts in many scientific fields routinely employ heuristics that are unproven and possible conclusions that are contradictory. We present a deployed software system for cosmogenic isotope dating, a domain that is fraught with these difficult issues. This system, which is called ACE ("age calculation engine"), takes as inputs the nuclide densities in a set of rock samples taken from a landform. It reasons from these data - which capture how long those rocks have been exposed to the sky - to answer the scientific question "What geological processes could have produced this distribution of nuclide concentrations, and over what time scales?" To do this, ACE employs an encoded knowledge base of the possible processes that may have acted on that landform in the past, complete with the mathematics of how those processes can affect samples, and it uses a custom workflow system to encode the computations associated with this scientific analysis. The system remains in active use to this day; the project website (ace.hwr.arizona.edu) has received over 17,000 hits since 2008 and the software (∼20,000 lines of python code) has been downloaded nearly 600 times as of April 2013, which is a significant number in a research community of O(102) PI-level scientists.
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M3 - Conference contribution
AN - SCOPUS:84898900182
SN - 9781577356394
T3 - AAAI Fall Symposium - Technical Report
SP - 16
EP - 22
BT - Discovery Informatics
PB - AI Access Foundation
T2 - 2013 AAAI Fall Symposium
Y2 - 15 November 2013 through 17 November 2013
ER -