EXPLORATORY MODELING FOR POLICY ANALYSIS

被引:378
作者
BANKES, S
机构
关键词
D O I
10.1287/opre.41.3.435
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Exploratory modeling is using computational experiments to assist in reasoning about systems where there is significant uncertainty. While frequently confused with the use of models to consolidate knowledge into a package that is used to predict system behavior, exploratory modeling is a very different kind of use, requiring a different methodology for model development. This paper distinguishes these two broad classes of model use, describes some of the approaches used in exploratory modeling, and suggests some technological innovations needed to facilitate it.
引用
收藏
页码:435 / 449
页数:15
相关论文
共 32 条
[1]  
ALLEN P, 1988, 1988 P WINT SIM C SA
[2]   NEURAL NETWORKS - LEARNING FROM A COMPUTER CAT [J].
ANDERSON, A .
NATURE, 1988, 331 (6158) :657-658
[3]  
BANKES S, 1992, RAND N3093A
[4]  
Barrett Edward, 1988, TEXT CONTEXT HYPERTE
[5]   EXPERIMENTAL MATHEMATICS - THE ROLE OF COMPUTATION IN NONLINEAR SCIENCE [J].
CAMPBELL, D ;
CRUTCHFIELD, J ;
FARMER, D ;
JEN, E .
COMMUNICATIONS OF THE ACM, 1985, 28 (04) :374-384
[6]   A LEISURELY LOOK AT THE BOOTSTRAP, THE JACKKNIFE, AND CROSS-VALIDATION [J].
EFRON, B ;
GONG, G .
AMERICAN STATISTICIAN, 1983, 37 (01) :36-48
[7]  
EFRON B, 1981, JACKKNIFE BOOTSTRAP
[8]  
Findeisen W., 1985, HDB SYSTEMS ANAL OVE, P117
[9]  
FREEDMAN DA, 1981, J BUS, V54, P477
[10]   NEURAL NETWORKS AND THE BIAS VARIANCE DILEMMA [J].
GEMAN, S ;
BIENENSTOCK, E ;
DOURSAT, R .
NEURAL COMPUTATION, 1992, 4 (01) :1-58