Uncertainty in Artificial Intelligence (Machine Intelligence and Pattern Recognition, 4)

  • 510 Pages
  • 4.12 MB
  • 7771 Downloads
  • English
by
Elsevier Science Pub Co
Artificial intelligence, Computers - General Information, Science/Mathem
The Physical Object
FormatPaperback
ID Numbers
Open LibraryOL9846439M
ISBN 100444887458
ISBN 139780444887450

This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control.

In this new edition, we have. Uncertainty in Artificial Intelligence: Proceedings of the Eighth Conference () covers the papers presented at the Eighth Conference on Uncertainty in Artificial Intelligence, held at Stanford University on JulyThe book focuses on the processes, methodologies, technologies, and approaches involved in artificial Edition: 1.

This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI.

It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data Cited by:   Purchase Uncertainty in Artificial Intelligence - 1st Edition.

Print Book & E-Book. ISBNBook Edition: 1. This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI.

It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data Cited by:   Purchase Uncertainty in Artificial Intelligence - 1st Edition.

E-Book. ISBN Book Edition: 1. Purchase Uncertainty in Artificial Intelligence, Volume 4 - 1st Edition. Print Book & E-Book. ISBNBook Edition: 1. The authors focus on the importance of natural language-the carrier of knowledge and intelligence-for artificial intelligence (AI) study.

This book develops a framework that shows how uncertainty in AI expands and generalizes traditional AI. It describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between.

Book Description We must constantly separate trustworthy and required information from the massive amount of data we encounter each day. Through mathematical theories, models, and experimental computations, Artificial Intelligence with Uncertainty explores the uncertainties of knowledge and intelligence that occur during the cognitive processes.

About AUAI. The Association for Uncertainty in Artificial Intelligence is a non-profit organization focused on organizing the annual Conference on Uncertainty in Artificial Intelligence (UAI) and, more generally, on promoting research in pursuit of advances in knowledge representation, learning and reasoning under most recent UAI conference was the 36th conference, UAI Uncertainty in Artificial Intelligence: Uncertainty in Artificial Intelligence book of the Eighth Conference () covers the papers presented at the Eighth Conference on Uncertainty in Artificial Intelligence, held at Stanford University on JulyThe book focuses on the processes, methodologies, technologies, and approaches involved in artificial intelligence.

This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence.

The authors focus on the importance of natural language - the carrier of knowledge and intelligence, and introduce efficient physical methods for data Pages: UAI ' Proceedings of the 19th Conference on Uncertainty in Artificial Intelligence by UAI (Editor) See all formats and editions Hide other formats and editions.

Price New from Used from Paperback "Please retry" $ — $ Paperback $ 1 Used from $ Enter your mobile number or email address below and we'll send you a link to Format: Paperback. Book • Browse book content Uncertainty in Artificial Intelligence contains the proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence held at the Catholic University of America in Washington, DC, on JulyThe papers focus on methods of reasoning and decision making under uncertainty as applied to.

Uncertainty in Artificial Intelligence. Edited by Ross D. SHACHTER, Tod S. LEVITT, Laveen N. KANAL, John F. LEMMER. Volume 9, Pages () Download full volume. Previous volume. Book chapter Full text access Generating Decision Structures and Causal Explanations For Decision Making.

Spencer Star. Pages Download PDF. Subjective Logic: A Formalism for Reasoning Under Uncertainty (Artificial Intelligence: Foundations, Theory, and Algorithms) Softcover reprint of the original 1st ed.

Edition by Audun Jøsang (Author) ISBN ISBN Why is ISBN important.

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ISBN. The information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work.

We must constantly separate trustworthy and required information from the massive amount of data we encounter each day. Through mathematical theories, models, and experimental computations, Artificial Intelligence with U5/5(1).

This is the first comprehensive treatment of subjective logic and all its operations. The author developed the approach, and in this book he first explains subjective opinions, opinion representation, and decision-making under vagueness and uncertainty, and he then offers a full definition of subjective logic, harmonising the key notations and formalisms, concluding with chapters on trust Cited by:   The leading textbook in Artificial Intelligence, used in schools in countries and regions.

Table of Contents Preface (pdf) ; Contents with subsections. Uncertainty in Artificial Intelligence. Edited by John F. LEMMER, Laveen N. KANAL.

Volume 5, Pages () Download full volume. Previous volume. Next volume. Actions for selected chapters. Select all / Deselect all. Download PDFs Export citations.

Book chapter Full text access. Artificial Intelligence with Uncertainty Deyi Li, Yi Du Through mathematical theories, models, and experimental computations, this book explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. Uncertainty is a central topic in many domains, such as economics, logic, artificial intelligence, and statistics.

It takes an omniscientist such as Joe Halpern to treat this topic in full. His book is a rich source of unique insights, offering unexpected connections between different fields. ISBN: OCLC Number: Notes: Conference papers.

Description: pages ; 23 cm. Contents: V.

Details Uncertainty in Artificial Intelligence (Machine Intelligence and Pattern Recognition, 4) FB2

/ edited by Laveen N. Kanal, Tod S. Artificial intelligence isn't perfect. In fact, it's only as good as the methods and data built into it. Researchers have detailed a new approach to artificial intelligence that builds uncertainty. ISBN: OCLC Number: Description: xiv, pages: illustrations ; 24 cm.

Contents: Fundamental Issues. Artificial Intelligence with Uncertainty book. Artificial Intelligence with Uncertainty. DOI link for Artificial Intelligence with Uncertainty. Artificial Intelligence with Uncertainty book. By Deyi Li, Yi Du. Edition 1st Edition. First Published eBook Published 27 September Artificial Intelligence - by David L.

Poole September Books; Artificial Intelligence; Planning with Uncertainty; With uncertainty, an agent typically cannot guarantee to satisfy its goals, and even trying to maximize the probability of achieving a goal may not be sensible.

Description Uncertainty in Artificial Intelligence (Machine Intelligence and Pattern Recognition, 4) FB2

For example, an agent whose goal is to minimize the Author: David L. Poole, Alan K. Mackworth. Human Compatible: Artificial Intelligence and the Problem of Control is a non-fiction book by computer scientist Stuart J. asserts that risk to humanity from advanced artificial intelligence (AI) is a serious concern despite the uncertainty surrounding future progress in AI.

It also proposes an approach to the AI control problem. Artificial Intelligence Notes PDF. In these “Artificial Intelligence Handwritten Notes PDF”, you will study the basic concepts and techniques of Artificial Intelligence (AI).The aim of these Artificial Intelligence Notes PDF is to introduce intelligent agents and reasoning, heuristic search techniques, game playing, knowledge representation, reasoning with uncertain knowledge.

Artificial Intelligence by Seoul National University. This book explains the following topics: History of AI, Machine Evolution, Evolutionary Computation, Components of EC, Genetic Algorithms, Genetic Programming, Uninformed Search, Search Space Graphs, Depth-First Search, Breadth-First Search, Iterative Deepening, Heuristic Search, The Propositional Calculus, Resolution in the Propositional.

This is the uncertainty related to incomplete information – in other words, the uncertainty inherent in the model.

This website uses cookies and other tracking technology to analyse traffic, personalise ads and learn how we can improve the experience for our visitors and customers.With uncertainty, an agent typically cannot guarantee to satisfy its goals, and even trying to maximize the probability of achieving a goal may not be sensible.

Uncertainty and risk The term "technological singularity" reflects the idea that such change may happen suddenly, and that it is difficult to predict how the resulting new world would operate.Uncertainty in Artificial Intelligence: Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, The Catholic University of America, Washington, D.C.

- Ebook written by David Heckerman, Abe Mamdani. Read this book using Google Play Books app on your PC, android, iOS devices.

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