DocumentCode :
427847
Title :
Fast and frugal algorithms for adaptive policy
Author :
Cunningham, Scott W. ; Van Der Lei, Telli E.
Author_Institution :
Dept. of Technol., Policy & Manage., Technol. Univ. of Delft, Netherlands
Volume :
2
fYear :
2004
fDate :
10-13 Oct. 2004
Firstpage :
1315
Abstract :
This paper reviews an ongoing debate about the nature of rationality. Contributions from both decision theorists as well as machine learning researchers are considered. New contributions to a standard judgment problem "the city inference problem" are presented. "Fast and frugal" algorithms, and their potential contributions to adaptive policymaking, are reviewed.
Keywords :
decision theory; inference mechanisms; learning (artificial intelligence); adaptive policymaking; city inference problem; decision theorists; fast and frugal algorithm; machine learning; standard judgment problem; Biological system modeling; Cities and towns; Decision making; Inference algorithms; Linear regression; Machine learning; Machine learning algorithms; Mathematical model; Paper technology; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-8566-7
Type :
conf
DOI :
10.1109/ICSMC.2004.1399807
Filename :
1399807
Link To Document :
بازگشت