| 来源类型 | FEEM working papers "Note di lavoro" series
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| 规范类型 | 论文
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| Finding Common Ground when Experts Disagree: Belief Dominance over Portfolios of Alternatives |
| Erin Baker; Valentina Bosetti; Ahti Salo
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| 发表日期 | 2016
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| 出处 | Mitigation, Innovation and Transformation Pathways
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| 出版年 | 2016
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| 语种 | 英语
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| 摘要 | We address the problem of choosing a portfolio of policies under “deep uncertainty.” We introduce the idea of belief dominance as a way to derive a set of non-dominated portfolios and robust individual alternatives. Our approach departs from the tradition of providing a single recommended portfolio; rather, it derives a group of good portfolios. The belief dominance concept allows us to synthesize multiple expert- or model- based beliefs by uncovering the range of alternatives that are intelligent responses to the range of beliefs. This goes beyond solutions that are optimal for any specific set of beliefs to uncover other defensible solutions that may not otherwise be revealed. We illustrate our approach using an important problem in the climate change and energy policy context: choosing among clean energy technology R&D portfolios. We demonstrate how the belief dominance concept can reveal portfolios and alternatives that would otherwise remain uncovered.
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Suggested citation: Baker, E., V. Bosetti, A. Salo, (2016), 'Finding Common Ground when Experts Disagree: Belief Dominance over Portfolios of Alternatives', Nota di Lavoro 46.2016, Milan, Italy: Fondazione Eni Enrico Mattei |
| 特色分类 | D8;D78;D81
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| 关键词 | Deep Uncertainty
Decision Making under Uncertainty
Robust
Dominance
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| URL | https://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/finding-common-ground-when-experts-disagree-belief-dominance-over-portfolios-of-alternatives/
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| 来源智库 | Fondazione Eni Enrico Mattei (Italy)
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/118499
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推荐引用方式
GB/T 7714 |
Erin Baker,Valentina Bosetti,Ahti Salo. Finding Common Ground when Experts Disagree: Belief Dominance over Portfolios of Alternatives. 2016.
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