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Representing Plans Under Uncertainty, Peter Haddawy


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Автор: Peter Haddawy
Название:  Representing Plans Under Uncertainty
ISBN: 9783540576976
Издательство: Springer
Классификация:

ISBN-10: 3540576975
Обложка/Формат: Paperback
Страницы: 134
Вес: 0.22 кг.
Дата издания: 28.02.1994
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Размер: 234 x 156 x 8
Основная тема: Business and Management
Подзаголовок: A Logic of Time, Chance, and Action
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This monograph integrates AI and decision-theoretic approaches to the representation of planning problems by developing a first-order logic of time, chance, and action for representing and reasoning about plans. The semantics of the logic incorporates intuitive properties of time, chance, and action central to the planning problem.


Foundations of Reasoning under Uncertainty

Автор: Bernadette Bouchon-Meunier; Luis Magdalena; Manuel
Название: Foundations of Reasoning under Uncertainty
ISBN: 364226235X ISBN-13(EAN): 9783642262357
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This book draws on papers presented at the 2008 Conference on Information Processing and Management of Uncertainty (IPMU), held in Malaga, Spain. The conference brought together some of the world`s leading experts in the study of uncertainty.

Advances in Decision Making Under Risk and Uncertainty

Автор: Mohammed Abdellaoui; John D. Hey
Название: Advances in Decision Making Under Risk and Uncertainty
ISBN: 3642088007 ISBN-13(EAN): 9783642088001
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Uncertainty and Information Modeling.- Revealed Ambiguity and Its Consequences: Updating.- Dynamic Decision Making When Risk Perception Depends on Past Experience.- Representation of Conditional Preferences Under Uncertainty.- Subjective Information in Decision Making and Communication.- Risk Modeling.- Sensitivity Analysis in Decision Making: A Consistent Approach.- Alternation Bias and the Parameterization of Cumulative Prospect Theory.- Proposing a Normative Basis for the S-Shaped Value Function.- Experimental Individual Decision Making.- Individual Choice from a Convex Lottery Set: Experimental Evidence.- Temptations and Dynamic Consistency.- Monty Hall's Three Doors for Dummies.- Overconfidence in Predictions as an Effect of Desirability Bias.- Experimental Interactive Decision Making.- Granny Versus Game Theorist: Ambiguity in Experimental Games.- Guessing Games and People Behaviours: What Can We Learn?.- The Determinants of Individual Behaviour in Network Formation: Some Experimental Evidence.

Probabilistic and Randomized Methods for Design under Uncertainty

Автор: Giuseppe Calafiore; Fabrizio Dabbene
Название: Probabilistic and Randomized Methods for Design under Uncertainty
ISBN: 1849965528 ISBN-13(EAN): 9781849965521
Издательство: Springer
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Цена: 41925.00 р.
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Описание: Probabilistic and Randomized Methods for Design under Uncertainty is a collection of contributions from the world`s leading experts in a fast-emerging branch of control engineering and operations research.

Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty

Автор: Shi-Yu Huang; Jaques Teghem
Название: Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty
ISBN: 9401074496 ISBN-13(EAN): 9789401074490
Издательство: Springer
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Цена: 41647.00 р.
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Описание: Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.

Acting under Uncertainty

Автор: George M. von Furstenberg
Название: Acting under Uncertainty
ISBN: 9048157854 ISBN-13(EAN): 9789048157853
Издательство: Springer
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Цена: 41787.00 р.
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Описание: This volume demonstrates that recognizing the many forms of uncertainty that enter into the development of any particular subject matter is a precondition for more responsible choice and deeper knowledge.

Decision Making Under Uncertainty

Автор: Claude Greengard; Andrzej Ruszczynski
Название: Decision Making Under Uncertainty
ISBN: 1441930140 ISBN-13(EAN): 9781441930149
Издательство: Springer
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Цена: 21661.00 р.
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Описание: In the ideal world, major decisions would be made based on complete and reliable information available to the decision maker. The volume contains articles on model problems of decision making process in the energy and power industry when the available information is noisy and/or incomplete.

Optimal Decisions Under Uncertainty

Автор: J.K. Sengupta
Название: Optimal Decisions Under Uncertainty
ISBN: 3540150323 ISBN-13(EAN): 9783540150329
Издательство: Springer
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Цена: 11173.00 р.
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Описание: Methods of optimal decision rules illustrated he re are applicable in three broad areas: (a) applied economic models in resource allocation and economic planning, (b) operations research models involving portfolio analysis and stochastic linear programming and (c) systems science models in stochastic control and adaptive behavior.

Optimal Decisions under Uncertainty

Автор: J.K. Sengupta
Название: Optimal Decisions under Uncertainty
ISBN: 3540108696 ISBN-13(EAN): 9783540108696
Издательство: Springer
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Цена: 12157.00 р.
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Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty

Автор: Shi-Yu Huang; Jaques Teghem
Название: Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty
ISBN: 0792308875 ISBN-13(EAN): 9780792308874
Издательство: Springer
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Цена: 41647.00 р.
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Описание: Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.

Optimization of Temporal Networks under Uncertainty

Автор: Wolfram Wiesemann
Название: Optimization of Temporal Networks under Uncertainty
ISBN: 3642437230 ISBN-13(EAN): 9783642437236
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations.

Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity

Автор: Joe Lorkowski; Vladik Kreinovich
Название: Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity
ISBN: 3319622137 ISBN-13(EAN): 9783319622132
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Human Decisions Are Often Suboptimal: Phenomenon of Bounded Rationality.- Towards Explaining Other Aspects of Human Decision Making.- Towards Explaining Heuristic Techniques (Such as Fuzzy) in Expert Decision Making.- Decision Making Under Uncertainty and Restrictions on Computation Resources: From Heuristic to Optimal Techniques.- Conclusions and Future Work.

Optimal Financial Decision Making under Uncertainty

Автор: Consigli
Название: Optimal Financial Decision Making under Uncertainty
ISBN: 3319416111 ISBN-13(EAN): 9783319416113
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives. Increasingly in recent years, financial management problems such as strategic asset allocation, asset-liability management, as well as asset pricing problems, have been presented in the literature adopting formulation and solution approaches rooted in stochastic programming, robust optimization, stochastic dynamic programming (including approximate SDP) methods, as well as policy rule optimization, heuristic approaches and others. The aim of the volume is to facilitate the comprehension of the modeling and methodological potentials of those methods, thus their common assumptions and peculiarities, relying on similar financial problems. The volume will address different valuation problems common in finance related to: asset pricing, optimal portfolio management, risk measurement, risk control and asset-liability management.The volume features chapters of theoretical and practical relevance clarifying recent advances in the associated applied field from different standpoints, relying on similar valuation problems and, as mentioned, facilitating a mutual and beneficial methodological and theoretical knowledge transfer. The distinctive aspects of the volume can be summarized as follows:

Strong benchmarking philosophy, with contributors explicitly asked to underline current limits and desirable developments in their areas.Theoretical contributions, aimed at advancing the state-of-the-art in the given domain with a clear potential for applicationsThe inclusion of an algorithmic-computational discussion of issues arising on similar valuation problems across different methods.Variety of applications: rarely is it possible within a single volume to consider and analyze different, and possibly competing, alternative optimization techniques applied to well-identified financial valuation problems.Clear definition of the current state-of-the-art in each methodological and applied area to facilitate future research directions.

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