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  1. Apr 9, 2019 · Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis.

    • Introduction

      It has been produced under the aegis of the Society for...

    • RDM

      Robust Decision Making (RDM) is a set of concepts,...

    • Decision Scaling

      DS leverages traditional decision analytic methods to create...

  2. Jan 1, 2019 · Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep...

  3. Decision making under uncertainty : theory and application / Mykel J. Kochenderfer ; with Christopher Amato, Girish Chowdhary, Jonathan P. How, Hayley J. Davison Reynolds, Jason R. Thornton, Pedro A.Torres-Carrasquillo, N. Kemal Üre, and JohnVian. p. cm — (Lincoln Laboratory series) Includes bibliographical references and index.

  4. Oct 1, 2021 · Decision Making under Deep Uncertainty (DMDU) methods are recognised approaches to navigate deep uncertainties and support robust and adaptable decisions. However, their ability to fully...

    • Several books have been written in the past that deal with different aspects of decisionmaking under uncertainty (in a broad sense). But, there are none that aim to integrate these aspects for the specic subset of decisionmaking under deep
    • Acknowledgements
    • Institute for Operations Research and the Management Sciences (INFORMS) for his contributions to the welfare of society through quantitative analysis of gov-
    • List of Contributors
    • Yakov Ben-Haim Technion Israel Institute of Technology, Haifa, Israel
    • Pieter Grinwis Member of the Municipal Council of The Hague and Policy Of cer for the ChristenUnie in the Dutch Senate and the House of Representatives,
    • Floris Hammer Independent consultant, specializing in executing technical pro-grammes and projects in complex political environments, The Hague, The Netherlands
    • Edmundo Molina-Perez Tecnol gico de Monterrey, Monterrey, Mexico
    • Introduction
    • Abstract
    • 271

    fi uncertainty. This book provides a uni ed and comprehensive treatment of the fi approaches and tools for developing policies under deep uncertainty, and their application. It elucidates the state of the art in both theory and practice associated with the approaches and tools for decisionmaking under deep uncertainty. It has been produced under th...

    The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares. vii

    “ ernmental policy problems. ” Dr. Pieter J. T. M. Bloemen (Ministry of Infrastructure and Water Management —

    Dayasiri Atapattu Greater Wellington Regional Council, Wellington, New Zealand Leon Basdekas Black and Veatch, Colorado Springs, CO, USA

    — Pieter J. T. M. Bloemen Staff Delta Programme Commissioner, Ministry of Infrastructure and Water Management, The Hague, The Netherlands Evan Bloom RAND Corporation, Santa Monica, CA, USA Casey Brown University of Massachusetts, Amherst, MA, USA Graeme Campbell Greater Wellington Regional Council, Wellington, New Zealand Michel-Alexandre Cardin Im...

    fi The Hague, The Netherlands David G. Groves RAND Corporation, Santa Monica, CA, USA Marjolijn Haasnoot Water Resources and Delta Management, Deltares, Delft, The Netherlands; Faculty of Physical Geography, Utrecht University, Utrecht, The Netherlands

    xiii xiv List of Contributors François M. Hemez Lawrence Livermore National Laboratory, Livermore, CA, USA Jan H. Kwakkel Faculty of Technology, Policy and Management (TPM), Delft University of Technology, Delft, The Netherlands Judy Lawrence Victoria University of Wellington, Wellington, New Zealand R. J. Lempert Rand Corporation, Santa Monica, CA...

    ó Steven W. Popper Pardee RAND Graduate School, RAND Corporation, Santa Monica, CA, USA Mehdi Ranjbar-Bourani University of Science and Technology of Mazandaran, Behshahr, Iran Patrick Ray University of Cincinnati, Cincinnati, OH, USA Kim Smet University of Ottawa, Ottawa, Canada Jesse Sowell Department of International Affairs, The Bush School of ...

    Vincent A. W. J. Marchau, Warren E. Walker, Pieter J. T. M. Bloemen and Steven W. Popper Abstract Decisionmaking for the future depends on anticipating change. And this anticipation is becoming increasingly difficult, thus creating anxiety when we seek to conform short-term decisions to long-term objectives or to prepare for rare events. Decisionma...

    The quest for predictions—and a reliance on the analytical methods that require them—can prove counter-productive and sometimes dangerous in a fast-changing world. Robust Decision Making (RDM) is a set of concepts, processes, and enabling tools that use computation, not to make better predictions, but to yield better decisions under conditions of d...

    In contrast to work on decisionmaking in general and decisionmaking under deep uncertainty in particular, the object of planned adaptation is the character and context of the programs acting on new knowledge, not the underlying policy analysis. This is a subtle, but potentially important conceptual distinction, between the substance of the knowledg...

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  5. Mar 15, 2021 · This report is an initial review of techniques to inform decision making under "deep uncertainty" (DMDU) and their potential use by NOAA.

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  7. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis.