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Coping with Uncertainty: Modeling and Policy Issues (Lecture Notes in Economics and Mathematical Systems (581)) by Prof. Dr. Kurt Marti, Prof. Dr. Yuri Ermoliev, Dr. Marek Makowski, Prof. Dr. Georg Pflug (auth.) is a nonfiction available to read on EtoBox.

What is Coping with Uncertainty: Modeling and Policy Issues (Lecture Notes in Economics and Mathematical Systems (581)) about?

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 dominates, 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 which was prepared for an interdisciplinary audience, and addresses open problems, limitations of known approaches, novel methods and techniques, or lessons from the applications of variou

Who reads Coping with Uncertainty: Modeling and Policy Issues (Lecture Notes in Economics and Mathematical Systems (581))?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Prof. Dr. Kurt Marti, Prof. Dr. Yuri Ermoliev, Dr. Marek Makowski, Prof. Dr. Georg Pflug (auth.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
2006
Language
EN
ISBN
9783540352587
Category
nonfiction
Subjects
Business, Mathematics, Engineering

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