Overview
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 581)
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Table of contents (18 papers)
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Uncertainty and Decisions
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Modeling Stochastic Uncertainty
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Applications of Stochastic Optimization
Keywords
About this book
Ongoing global changes bring fundamentally new scientific problems requiring new concepts and tools. A key issue concerns a vast variety of practically irreducible uncertainties, which challenge our traditional models and require new concepts and analytical tools. The uncertainty critically dominantes, e.g., the climate change debates. In short, the dilemma is concerned with enormous costs vs. massive uncertainties of potential extreme impacts. Traditional scientific approaches usually rely on real observations and experiments. Yet no sufficient observations exist for new problems, and "pure" experiments and learning by doing may be very expensive, dangerous, or simply impossible. In addition, available historical observations are contaminated by actions, policies. The complexity of new problems does not allow to achieve enough certainty by increasing the resolution of models or by bringing in more links. Hence, new tools for modeling and management of uncertainty are needed, as given in this book.
Authors and Affiliations
Bibliographic Information
Book Title: Coping with Uncertainty
Book Subtitle: Modeling and Policy Issues
Authors: Kurt Marti, Yuri Ermoliev, Marek Makowski, Georg Pflug
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/3-540-35262-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Softcover ISBN: 978-3-540-35258-7Published: 21 September 2006
eBook ISBN: 978-3-540-35262-4Published: 23 November 2006
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XIII, 330
Number of Illustrations: 56 b/w illustrations
Topics: Economics, general, Mathematics, general, Operations Research/Decision Theory, Optimization, Computational Intelligence