来源类型
Journal Article
DOI
https://doi.org/10.3390/info14020134
来源编号
EP-69168
Broad and Selectively Deep: An MRMPM Paradigm for Supporting Analysis
论文题名译名
广泛而有选择地深入:支持分析的MRMPM范式
发布日期
2023-02-21
出版者
MDPI
出版日期
2023
EISSN
2078-2489
出版年
2023
卷号
14
期号
134
摘要

This paper discusses challenges for M&S if it is to be increasingly important to decision aiding and policy analysis. It suggests an approach that—from the outset of a policy analysis project—incorporates M&S of a varied resolution with the intent that (1) the results of analysis will be communicated with a relatively simple model and corresponding narrative that scans the system problem in breadth, having been informed by richer modeling, and (2) the broad view is supplemented by the selective detail (zooms) and selected change of the perspective as needed. This is not just a matter of "dumbing down" communication, but a matter of thinking about both forests and trees from the outset and about designing analytic tools accordingly. It will also enable exploratory analysis amidst uncertainty and disagreement, which is central to modern policy analysis and decision-aiding. All of this poses significant challenges for those who design and build M&S.

语种
英语
NSTL主题领域
科学与技术
NSTL智库专题
模型建模
来源主题
Capabilities Based Planning ; Modeling and Simulation
NSTL分类号
33
来源智库
RAND Corporation (United States)
版权信息
Paul K. Davis ; Open Access
版权年
2023
版权所有者
Paul K. Davis ; Open Access
使用权限
Non-RAND
使用许可
CC BY license
获取方式
开放
NSTL资源类型
期刊论文
NSTL唯一标识符
JA202303280000001JL
加工单位 processInst
入库编号
CJ20230319JA000010

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