Coping with Uncertainty: Robust Solutions 2010th Edition

Coping with Uncertainty: Robust Solutions 2010th Edition book cover

Coping with Uncertainty: Robust Solutions 2010th Edition

Author(s): Kurt Marti (Editor), Yuri Ermoliev (Editor), Marek Makowski (Editor)

  • Publisher: Springer
  • Publication Date: December 7, 2009
  • Edition: 2010th
  • Language: English
  • Print length: 293 pages
  • ISBN-10: 3642037348
  • ISBN-13: 9783642037344

Book Description

Support for addressing the on-going global changes needs solutions for new scientific problems which in turn require new concepts and tools. A key issue concerns a vast variety of irreducible uncertainties, including extreme events of high multidimensional consequences, e.g., the climate change. The dilemma is concerned with enormous costs versus massive uncertainties of extreme impacts. Traditional scientific approaches rely on real observations and experiments. Yet no sufficient observations exist for new problems, and “pure” experiments, and learning by doing may be expensive, dangerous, or impossible. In addition, the available historical observations are often contaminated by past actions, and policies. Thus, tools are presented for the explicit treatment of uncertainties using “synthetic” information composed of available “hard” data from historical observations, the results of possible experiments, and scientific facts, as well as “soft” data from experts’ opinions, and scenarios.

Editorial Reviews

From the Back Cover

Support for addressing the on-going global changes needs solutions for new scientific problems which in turn require new concepts and tools. A key issue concerns a vast variety of irreducible uncertainties, including extreme events of high multidimensional consequences, e.g., the climate change. The dilemma is concerned with enormous costs versus massive uncertainties of extreme impacts. Traditional scientific approaches rely on real observations and experiments. Yet no sufficient observations exist for new problems, and “pure” experiments, and learning by doing may be expensive, dangerous, or impossible. In addition, the available historical observations are often contaminated by past actions, and policies. Thus, tools are presented for the explicit treatment of uncertainties using “synthetic” information composed of available “hard” data from historical observations, the results of possible experiments, and scientific facts, as well as “soft” data from experts’ opinions, and scenarios.

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