Key Approaches To Decision-Making Under Uncertainty
Here are the key approaches to decision‑making under deep uncertainty (DMDU) presented in the book, each with a supporting citation from the text: Robust Decision Making (RDM): an approach that combines decision analy...
Here are the key approaches to decision‑making under deep uncertainty (DMDU) presented in the book, each with a supporting citation from the text: Robust Decision Making (RDM): an approach that combines decision analysis, assumption‑based planning, scenarios, and exploratory modeling to stress‑test strategies over many plausible futures and identify robust adaptive strategies.[:cite[1]{ln=1}] Dynamic Adaptive Planning (DAP): focuses on designing an initial plan that is implemented before major uncertainties are resolved, with an explicit monitoring program and pre‑specified contingent responses (i.e., triggers and adaptive implementation over time).[:cite[2]{ln=1}] Dynamic Adaptive Policy Pathways (DAPP): explicitly considers timing and produces alternative routes into the future based on Adaptation Tipping Points (ATPs) to show under what conditions a plan will fail and when to switch actions.[:cite[2]{ln=6}] Info‑Gap Decision Theory (IG): a non‑probabilistic decision theory that evaluates alternative actions by optimizing robustness to failure (and opportuneness) under large information gaps using local robustness models.[:cite[3]{ln=2}] Engineering Options Analysis (EOA): assigns economic value to technical flexibility (options) and provides procedures for calculating the value of elements that give a system flexibility, drawing on real‑options ideas.[:cite[4]{ln=5}] Decision Scaling (DS): a decision‑support method that frames decisions, performs climate (or stress) “stress tests,” and estimates climate‑informed risks to guide decisions under uncertainty.[:cite[5]{ln=1}] Planned Adaptation (PA) / Conceptual Model of Planned Adaptation: a generalized approach that distinguishes primary and secondary rules, defines triggers/events, and structures how adaptation actions are planned and sequenced over time.[:cite[6]{ln=1}] Taxonomy / Supporting DMDU: a cross‑cutting taxonomy that organizes ideas and tools for DMDU—covering exploratory modeling, adaptive planning, decision support, generation of alternatives/scenarios, robustness metrics, and vulnerability analysis—to help choose and combine approaches and tools.[:cite[7]{ln=1}] If you’d like, I can (without asking further questions) expand each bullet into a short (≈150–300 word) summary of the approach with additional citations to chapters/examples and when each method is most appropriate.