# eBook Reasoning about Uncertainty (MIT Press) download

## by Joseph Y. Halpern

**ISBN:**0262582597

**Author:**Joseph Y. Halpern

**Publisher:**The MIT Press; Revised edition (August 12, 2005)

**Language:**English

**Pages:**497

**ePub:**1372 kb

**Fb2:**1683 kb

**Rating:**4.9

**Other formats:**lit lrf mobi docx

**Category:**Technologies

**Subcategory:**Computer Science

In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about i. Joseph Y. Halpern is Professor of Computer Science at Cornell University.

In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about i. He is the author of Actual Causality and the coauthor of Reasoning about Knowledge, both published by the MIT Press. For more than a decade, the study of uncertain reasoning has been graced by the breadth, openness, and agility of Joe Halpern's intellect.

This book guides you through formal systems useful for reasoning about uncertainty. If you've ever wondered about the rationale for probability theory or for ways to overcome its limitation, this is the book for you. The author made an effort to make the book as self-contained as possible (a remarkable achievement given what it covers), so this book is very clear. The examples are short, but illuminating and motivating, so this book is interesting. The author always tries to justify why the axioms of a theory were chosen a certain way, so this book is insightful

Reasoning about Uncertainty - The MIT Press (Paperback) In this book, Joseph Halpern examines formal ways of representing uncertainty.

Reasoning about Uncertainty - The MIT Press (Paperback). Halpern (author). Formal ways of representing uncertainty and various logics for reasoning about it; updated with new material on weighted probability measures, considerations, and other topics.

The MIT Press, 2003, US$ 4. 0, 456 p. ISBN−10: 0262582597, ISBN−13: 978−0262582599, US$ 4. 0. Dimensions (in inches): . x 7 x .

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.

Reasoning about Uncertainty book.

The MIT Press Cambridge, Massachusetts London, England. Notes Many books have been written recently regarding alternative approaches to reasoning about uncertainty. Shafer provides a good introduction to the Dempster -Shafer approach; Klir and Folger provide a good introduction to fuzzy logic; contains a good overview of a number of approaches.

The MIT Press Cambridge, Massachusetts London, England. c 1995 Massachusetts Institute of Technology. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. This is the type of reasoning one often sees in puzzles or Sherlock Holmes mysteries, where we might have reasoning such as this

Based on author's P. thesis, Market behavior under uncertainty, .

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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. While the ideas presented are formalized in terms of definitions and theorems, the emphasis is on the philosophy of representing and reasoning about uncertainty; the material is accessible and relevant to researchers and students in many fields, including computer science, artificial intelligence, economics (particularly game theory), mathematics, philosophy, and statistics.

Halpern begins by surveying possible formal systems for representing uncertainty, including probability measures, possibility measures, and plausibility measures. He considers the updating of beliefs based on changing information and the relation to Bayes' theorem; this leads to a discussion of qualitative, quantitative, and plausibilistic Bayesian networks. He considers not only the uncertainty of a single agent but also uncertainty in a multi-agent framework. Halpern then considers the formal logical systems for reasoning about uncertainty. He discusses knowledge and belief; default reasoning and the semantics of default; reasoning about counterfactuals, and combining probability and counterfactuals; belief revision; first-order modal logic; and statistics and beliefs. He includes a series of exercises at the end of each chapter.