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Author: Riki G. A. Dolby
Publisher: Cambridge University Press
ISBN: 9780521892629
Category : Philosophy
Languages : en
Pages : 394
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Book Description
This book explores the image of science in the modern world.
Author: Riki G. A. Dolby
Publisher: Cambridge University Press
ISBN: 9780521892629
Category : Philosophy
Languages : en
Pages : 394
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Book Description
This book explores the image of science in the modern world.
Author: Paul Krause
Publisher: Springer Science & Business Media
ISBN: 9401120846
Category : Computers
Languages : en
Pages : 287
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Book Description
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: Kun Yue
Publisher: World Scientific
ISBN: 981322715X
Category : Computers
Languages : en
Pages : 224
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Book Description
Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment.
Author: Jeremy Fantl
Publisher: Oxford University Press
ISBN: 019955062X
Category : Language Arts & Disciplines
Languages : en
Pages : 262
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Book Description
This study explores the relation between knowledge, reasons and justification. It argues that you can rely on what you know, since what you know can be a reason you have and you can rely on your reasons. But the assumption that knowledge allows for a chance of error makes this a controversial position in epistemology.
Author: Joseph Mintz
Publisher: Routledge
ISBN: 1135905924
Category : Education
Languages : en
Pages : 133
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Book Description
The extent to which teachers should make use of theoretical and expert knowledge as opposed to tacit experiential knowledge, and how these might be combined, is a perennial issue in discussions on pedagogy. This book addresses these debates through a creative development of the concept of productive uncertainty. Using case studies focusing on teachers working with children with autism, a particularly fertile crucible for considering uncertainty, the book explores how the radical 20th century psychoanalyst Wilfred Bion's epistemological approach to uncertainty can be used to re-frame Donald Schön's concept of reflection in action, offering a new perspective on the practice of teachers and other caring professionals. Several areas of potential uncertainty are identified, including uncertainty relating to areas of practice including diagnosis, the relationship between expert knowledge and practice, the implications of autism for autonomy and agency, and uncertainties in relation to the understanding of and use of new technologies. A strong argument is made, based on both theoretical and empirical grounds, that in juggling between theoretical and tacit knowledge in the classroom there is more to be gained by staying with the struggle with uncertainty than by fleeing from it too early, into the promise of expert solutions. Consideration is also given to the relative importance of specific theoretical training for teachers, both in general and in relation to working with children with special educational needs, in the context of international and UK policy developments in this area. This book will be of key value to researchers and postgraduates in the fields of education studies, teacher thinking and research, psychoanalytically informed psychosocial studies, as well as to practitioners working in special educational needs/autism education.
Author: Bernadette Bouchon-Meunier
Publisher: Springer Science & Business Media
ISBN: 9783540543466
Category : Computers
Languages : en
Pages : 630
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Book Description
One out of every two men over eigthy suffers from carcinoma of the prostate.It is discovered incidentally in many patients with an alleged benign prostatic hyperplasia. In treating patients, the authors make clear that primary radical prostatectomy is preferred over transurethral resection due to the lower complication rate.
Author: Bernadette Bouchon-Meunier
Publisher: Springer Science & Business Media
ISBN: 9783540185796
Category : Computers
Languages : en
Pages : 420
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Book Description
Author: Rudolf Kruse
Publisher: Springer Science & Business Media
ISBN: 3642767028
Category : Computers
Languages : en
Pages : 495
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Book Description
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: Ignac Lovrek
Publisher: Springer Science & Business Media
ISBN: 3540855645
Category : Business & Economics
Languages : en
Pages : 1079
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Book Description
Annotation The three volume set LNAI 5177, LNAI 5178, and LNAI 5179, constitutes the refereed proceedings of the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, held in Zagreb, Croatia, in September 2008. The 316 revised papers presented were carefully reviewed and selected. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the first volume are artificial neural networks and connectionists systems; fuzzy and neuro-fuzzy systems; evolutionary computation; machine learning and classical AI; agent systems; knowledge based and expert systems; intelligent vision and image processing; knowledge management, ontologies, and data mining; Web intelligence, text and multimedia mining and retrieval; and intelligent robotics and control.
Author: Jesús Medina
Publisher: Springer
ISBN: 3319914731
Category : Computers
Languages : en
Pages : 835
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Book Description
This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).
