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Artificial Intelligence for Modeling Complex Systems: Tamin..:

Gil, Yolanda ; Garijo, Daniel ; Khider, Deborah...
ACM Transactions on Interactive Intelligent Systems. 11 (2021) 2 - p. 1-49 , 2021

Link: https://doi.org/10.1145/3453172

RT Journal
T1 <Title>Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making</Title>

UL https://suche.suub.uni-bremen.de/peid=cr-10.1145_3453172&Exemplar=1&LAN=DE
				
A1 Gil, Yolanda
A1 Garijo, Daniel
A1 Khider, Deborah
A1 Knoblock, Craig A.
A1 Ratnakar, Varun
A1 Osorio, Maximiliano
A1 Vargas, Hernán
A1 Pham, Minh
A1 Pujara, Jay
A1 Shbita, Basel
A1 Vu, Binh
A1 Chiang, Yao-Yi
A1 Feldman, Dan
A1 Lin, Yijun
A1 Song, Hayley
A1 Kumar, Vipin
A1 Khandelwal, Ankush
A1 Steinbach, Michael
A1 Tayal, Kshitij
A1 Xu, Shaoming
A1 Pierce, Suzanne A.
A1 Pearson, Lissa
A1 Hardesty-Lewis, Daniel
A1 Deelman, Ewa
A1 Silva, Rafael Ferreira Da
A1 Mayani, Rajiv
A1 Kemanian, Armen R.
A1 Shi, Yuning
A1 Leonard, Lorne
A1 Peckham, Scott
PB Association for Computing Machinery (ACM)
YR 2021
SN 2160-6455
SN 2160-6463
JF ACM Transactions on Interactive Intelligent Systems
VO 11
IS 2
SP 1
OP 49
LK http://dx.doi.org/https://doi.org/10.1145/3453172
DO https://doi.org/10.1145/3453172
SF ELIB - SuUB Bremen

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