6 edition of **Reasoning about Uncertainty** found in the catalog.

- 337 Want to read
- 25 Currently reading

Published
**September 1, 2005**
by The MIT Press
.

Written in English

- Epistemology, theory of knowledge,
- Computers,
- Computers - General Information,
- Computer Books: General,
- Artificial Intelligence - General,
- Computer Science,
- Information Theory,
- Computers / Computer Science,
- Logic, Symbolic and mathematical,
- Reasoning,
- Uncertainty (Information theory)

The Physical Object | |
---|---|

Format | Paperback |

Number of Pages | 497 |

ID Numbers | |

Open Library | OL9479402M |

ISBN 10 | 0262582597 |

ISBN 10 | 9780262582599 |

Text: Reasoning About Uncertainty (Halpern). (It should be available in the bookstore. The paperback version is marginally better (and should be cheaper), but the hardcover version is OK too. The paperback version corrects a number of typos and minor errors in the hardcover version.). from book Uncertainty theory. 2nd ed. representation and automated reasoning, tant current theories of uncertainty (imprecise probability [12], evidenceAuthor: Baoding Liu.

The teacher edition for the Truth, Reasoning, Certainty, & Proof book will be ready soon. Download Book The learning guide “Discovering the Art of Mathematics: Truth, Reasoning, Certainty and Proof ” lets you, the explorer, investigate the great distinction between mathematics and all other areas of study - the existence of rigorous proof. - uncertainty is fundamental and unavoidable in life, - we need to be able to represent it and reason about it, - reasoning about uncertainty can be a subtle task. The book, thus, describes several tools available to represent uncertainty as well as to reason about it. It is a course book which contains a Preface, 12 Chapters, a list of.

This book presents an approach to reasoning about uncertainty. It addresses the problem of how to represent and reason with heuristic knowledge about uncertainty using nonnumerical methods. Topics covered include managing uncertainty; bayesian and endorsement-based analyses: two . Reasoning About Uncertainty (CS ): Course Description including nonmonotonic reasoning, belief change, counterfactual reasoning, and problems of statistical inference, particularly that of going from statistical information to degrees of belief. The course follows closely the material in the book Reasoning About Uncertainty.

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Reasoning about Uncertainty is a very valuable synthesis of the mathematics of uncertainty as it has developed in a number of related fields -- probability, statistics, computer science, game theory, artificial intelligence, and philosophy.

Researchers in all of these fields will find this a very useful book -- both for its elegant treatment of technical results and for its illuminating conceptual by: Reasoning about Uncertainty. Uncertainty is a fundamental and unavoidable feature of daily life; in order to deal with uncertaintly intelligently, we need to be able to represent it and reason about it.

In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it/5. Reasoning about Uncertainty is a very valuable synthesis of the mathematics of uncertainty as it has developed in a number of related fields—probability, statistics, computer science, game theory, artificial intelligence, and philosophy.

Researchers in all of these fields will find this a very useful book—both for its elegant treatment of technical results and for its illuminating conceptual discussions. Aug Format: PaperbackVerified Purchase.

This is an excellent resource for those seeking to understand the underpinnings of statistical education and reasoning about variability and uncertainty.

The book contains 6 chapters edited Reasoning about Uncertainty book Andrew Zieffler and Elizabeth Fry of the University of Minnesota.5/5(1). In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it.

While the ideas presented are formalized in terms of definitions and theorems, the emphasis is on the philosophy of representing and reasoning about uncertainty.

In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it. While the ideas presented are formalized in.

Reasoning about Uncertainty (The MIT Press) by Joseph Y. Halpern accessibility Books LIbrary as well as its powerful features, including thousands and thousands of title from favorite author, along with the capability to read or download hundreds of boos on your pc or smartphone in minutes.

The Handbook of Defeasible Reasoning and Uncertainty Management Systems is unique in its masterly survey of the computational and algorithmic problems of systems of applied reasoning.

The various theoretical and modelling aspects of defeasible reasoning were dealt with in the first four volumes, and Volume 5 now turns to the algorithmic aspect. This book constitutes the refereed proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARUheld in Hammammet, Tunisia, Oktober 31 - November 2, It covers the issues of uncertainty in multiagent systems.

Agents rely heavily on the notion of belief in their knowledge representation. Given that this book is heavily biased toward notions of belief and plausibility in modeling uncertainty, I would expect it to cover multiagents.

by Joseph Y Halpern / / English / PDF. Uncertainty is a fundamental and unavoidable feature of daily life in order to deal with uncertaintly intelligently, we need to be able to represent it and reason about it.

In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it. Reasoning about Uncertainty pursues its own unified theoretical perspective in a remarkably systematic way, yet it is also a remarkably rich and complete textbook.

It will be a rewarding book to work through for students and researchers alike. — Wolfgang Spohn, Department of Philosophy, University of KonstanzAuthor: Joseph Y.

Halpern. IEEE Xplore, delivering full text access to the world's highest quality technical literature in engineering and technology. | IEEE Xplore. In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it. While the ideas presented are formalized in terms of definitions and theorems, the emphasis is on the philosophy of representing and reasoning about uncertainty/5(14).

Reasoning about Uncertainty | Joseph Y. Halpern | download | B–OK. Download books for free. Find books. Joseph Y. Halpern is Professor of Computer Science at Cornell University. He is the author of Actual Causality and the coauthor of Reasoning about Knowledge, both published by the MIT Press.

Reasoning about Uncertainty by Joseph Y. Halpern Clear, Interesting, Insightful Uncertainty is a fundamental and unavoidable feature of daily life; in order to deal with uncertaintly intelligently, we need to be able to represent it and reason about it.

AI II Reasoning under Uncertainty ’ & $ % The Basics (cont’d) • The set of possible worlds is called the sample space (denoted by Ω). The elements of Ω (sample points) will be denoted by ω.

• The possible words of Ω (e.g., outcomes of throwing a dice) are mutually exclusive and exhaustive. Uncertain Reasoning About Agents' Beliefs and Reasoning.

John A. Barnden - - Artificial Intelligence and Law 9 () A Taxonomy and Treatment of Uncertainty for Ecology and Conservation : Joseph Y. Halpern. This book, which presents all these valuable contributions in a single volume, provides a rich source of technical and philosophical insight.&" &-Bas C.

van Fraassen, Department of Philosophy, Princeton University, " Reasoning about Uncertainty is a very valuable synthesis of the mathematics of uncertainty as it has developed in a number of related fields-probability, statistics, computer science, game. It will be a rewarding book to work through for students and researchers alike."--Wolfgang Spohn, University of Konstanz "*Reasoning about Uncertainty* is a very valuable synthesis of the mathematics of uncertainty as it has developed in a number of related fields -- probability, statistics, computer science, game theory, artificial intelligence, and philosophy.This book describes argumentative tools and strategies that can be used to guide policy decisions under conditions of great uncertainty.

Contributing authors explore methods from philosophical analysis and in particular argumentation analysis, showing how it can be used to systematize discussions about policy issues involving great uncertainty.Other criticisms of this uncertainty reasoning method include among others: The CF lack theoretical foundation.

Basically, the CF were partly. ad hoc. It is an approximation of probability theory. Non-independent evidence can be expressed and combined only by “chunking” it together within the same rule.

When large quantities of non.