Artificial Intelligence With Uncertainty
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Author | : Deyi Li |
Publisher | : CRC Press |
Total Pages | : 290 |
Release | : 2017-05-18 |
Genre | : Mathematics |
ISBN | : 1498776272 |
Download Artificial Intelligence with Uncertainty Book in PDF, Epub and Kindle
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 more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.
Author | : Deyi Li |
Publisher | : CRC Press |
Total Pages | : 378 |
Release | : 2007-09-27 |
Genre | : Business & Economics |
ISBN | : 1584889993 |
Download Artificial Intelligence with Uncertainty Book in PDF, Epub and Kindle
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 U
Author | : Rudolf Kruse |
Publisher | : Springer Science & Business Media |
Total Pages | : 495 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 3642767028 |
Download Uncertainty and Vagueness in Knowledge Based Systems Book in PDF, Epub and Kindle
The primary aim of this monograph is to provide a formal framework for the representation and management of uncertainty and vagueness in the field of artificial intelligence. It puts particular emphasis on a thorough analysis of these phenomena and on the development of sound mathematical modeling approaches. Beyond this theoretical basis the scope of the book includes also implementational aspects and a valuation of existing models and systems. The fundamental ambition of this book is to show that vagueness and un certainty can be handled adequately by using measure-theoretic methods. The presentation of applicable knowledge representation formalisms and reasoning algorithms substantiates the claim that efficiency requirements do not necessar ily require renunciation of an uncompromising mathematical modeling. These results are used to evaluate systems based on probabilistic methods as well as on non-standard concepts such as certainty factors, fuzzy sets or belief functions. The book is intended to be self-contained and addresses researchers and practioneers in the field of knowledge based systems. It is in particular suit able as a textbook for graduate-level students in AI, operations research and applied probability. A solid mathematical background is necessary for reading this book. Essential parts of the material have been the subject of courses given by the first author for students of computer science and mathematics held since 1984 at the University in Braunschweig.
Author | : Khalid Saeed |
Publisher | : Springer |
Total Pages | : 541 |
Release | : 2013-09-20 |
Genre | : Computers |
ISBN | : 3642409253 |
Download Computer Information Systems and Industrial Management Book in PDF, Epub and Kindle
This book constitutes the proceedings of the 12th IFIP TC 8 International Conference, CISIM 2013, held in Cracow, Poland, in September 2013. The 44 papers presented in this volume were carefully reviewed and selected from over 60 submissions. They are organized in topical sections on biometric and biomedical applications; pattern recognition and image processing; various aspects of computer security, networking, algorithms, and industrial applications. The book also contains full papers of a keynote speech and the invited talk.
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Download Uncertainty in Artificial Intelligence Book in PDF, Epub and Kindle
Author | : Paul Krause |
Publisher | : Springer Science & Business Media |
Total Pages | : 287 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 9401120846 |
Download Representing Uncertain Knowledge Book in PDF, Epub and Kindle
The representation of uncertainty is a central issue in Artificial Intelligence (AI) and is being addressed in many different ways. Each approach has its proponents, and each has had its detractors. However, there is now an in creasing move towards the belief that an eclectic approach is required to represent and reason under the many facets of uncertainty. We believe that the time is ripe for a wide ranging, yet accessible, survey of the main for malisms. In this book, we offer a broad perspective on uncertainty and approach es to managing uncertainty. Rather than provide a daunting mass of techni cal detail, we have focused on the foundations and intuitions behind the various schools. The aim has been to present in one volume an overview of the major issues and decisions to be made in representing uncertain knowl edge. We identify the central role of managing uncertainty to AI and Expert Systems, and provide a comprehensive introduction to the different aspects of uncertainty. We then describe the rationales, advantages and limitations of the major approaches that have been taken, using illustrative examples. The book ends with a review of the lessons learned and current research di rections in the field. The intended readership will include researchers and practitioners in volved in the design and implementation of Decision Support Systems, Ex pert Systems, other Knowledge-Based Systems and in Cognitive Science.
Author | : Audun Jøsang |
Publisher | : Springer |
Total Pages | : 355 |
Release | : 2016-10-27 |
Genre | : Computers |
ISBN | : 3319423371 |
Download Subjective Logic Book in PDF, Epub and Kindle
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 networks and subjective Bayesian networks, which when combined form general subjective networks. The author shows how real-world situations can be realistically modelled with regard to how situations are perceived, with conclusions that more correctly reflect the ignorance and uncertainties that result from partially uncertain input arguments. The book will help researchers and practitioners to advance, improve and apply subjective logic to build powerful artificial reasoning models and tools for solving real-world problems. A good grounding in discrete mathematics is a prerequisite.
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Download Uncertainty in artificial intelligence Book in PDF, Epub and Kindle
Author | : Michael Tan |
Publisher | : |
Total Pages | : |
Release | : 2019-12-02 |
Genre | : |
ISBN | : 9781641374026 |
Download The Death of Uncertainty Book in PDF, Epub and Kindle
Author | : L.N. Kanal |
Publisher | : Elsevier |
Total Pages | : 474 |
Release | : 2014-06-28 |
Genre | : Computers |
ISBN | : 1483296539 |
Download Uncertainty in Artificial Intelligence 2 Book in PDF, Epub and Kindle
This second volume is arranged in four sections: Analysis contains papers which compare the attributes of various approaches to uncertainty. Tools provides sufficient information for the reader to implement uncertainty calculations. Papers in the Theory section explain various approaches to uncertainty. The Applications section describes the difficulties involved in, and the results produced by, incorporating uncertainty into actual systems.