Knowledge Integration Methods For Probabilistic Knowledge Based Systems
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Knowledge Integration Methods For Probabilistic Knowledge Based Systems
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Author : Van Tham Nguyen
language : en
Publisher: CRC Press
Release Date : 2022-12-30
Knowledge Integration Methods For Probabilistic Knowledge Based Systems written by Van Tham Nguyen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-30 with Business & Economics categories.
Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. Knowledge Integration Methods provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. The book also provides the mathematical background to solving problems of restoring consistency and integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. This text will be useful for computer science graduates and PhD students, in addition to researchers and readers working on knowledge management and ontology interpretation.
Uncertain Information Processing In Expert Systems
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Author : Petr Hajek
language : en
Publisher: CRC Press
Release Date : 1992-06-29
Uncertain Information Processing In Expert Systems written by Petr Hajek and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-06-29 with Computers categories.
Uncertain Information Processing in Expert Systems systematically and critically examines probabilistic and rule-based (compositional, MYCIN-like) systems, the two most important families of expert systems dealing with uncertainty. The book features a detailed introduction to probabilistic systems (including methods using graphical models and methods of knowledge integration), an analysis of compositional systems based on algebraic considerations, an application of graphical models, and the Dempster-Shafer theory of evidence and its use in expert systems. The book will be useful to anyone working in artificial intelligence, statistical computing, symbolic logic, and expert systems.
Uncertainty And Vagueness In Knowledge Based Systems
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Author : Rudolf Kruse
language : en
Publisher: Springer
Release Date : 1991
Uncertainty And Vagueness In Knowledge Based Systems written by Rudolf Kruse and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.
The primary aim of this book is to give the reader an introduction into a formal framework to handle uncertainty and vageness with numerical methods. These phenomena are analysed with emphasis on a sound mathematical modelling and therefore some mathematics (probability theory, measure theory, graph theory) adapted to the authors needs is included in the book to develop a sound basis and to get a selfcontained book. The authors handle (all) important standard and nonstandard numerical approaches to handle uncertainty and vagueness: probabilistic methods, mass distribution, \(L\)-sets, certainty factors, fuzzy sets and belief functions. These different approaches to handle uncertainty and vagueness are expressed in terms of the introduced mathematics, advantages/disadvantages and the area of applications of these approaches are discussed. The integration of the approaches with knowledge representation techniques is shown with small but illustrative examples. The authors show, that the combination of knowledge representation and (the presented) modelling approaches can be done without giving up sound mathematical modelling. They also discuss consistency and adequacy of several commercial used models (within expert systems) to handle uncertainty and vagenuess. The intention of this book is to fill the gap between a sound mathematical modelling of uncertainty and vagueness and the practical usage of different approaches within a knowledge representation. This explains the formal presentation which sometimes requires a deep reading to understand all important aspects. The formal representation of the book does not make it easy for a reader to get information on special 'modelling approaches' without reading all preceding parts especially the mathematical basis and without a sound mathematical background at all. But nevertheless this book provides a good basis to get more consistent and adequate handling of uncertainty and vagueness in knowledge based systems.
Computational Collective Intelligence
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Author : Ngoc Thanh Nguyen
language : en
Publisher: Springer
Release Date : 2018-08-27
Computational Collective Intelligence written by Ngoc Thanh Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-27 with Computers categories.
This two-volume set (LNAI 11055 and LNAI 11056) constitutes the refereed proceedings of the 10th International Conference on Collective Intelligence, ICCCI 2018, held in Bristol, UK, in September 2018 The 98 full papers presented were carefully reviewed and selected from 240 submissions. The conference focuses on knowledge engineering and semantic web, social network analysis, recommendation methods and recommender systems, agents and multi-agent systems, text processing and information retrieval, data mining methods and applications, decision support and control systems, sensor networks and internet of things, as well as computer vision techniques.
A Methodology For Uncertainty In Knowledge Based Systems
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Author : Kurt Weichselberger
language : en
Publisher: Lecture Notes in Artificial Intelligence
Release Date : 1990-03-07
A Methodology For Uncertainty In Knowledge Based Systems written by Kurt Weichselberger and has been published by Lecture Notes in Artificial Intelligence this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-03-07 with Computers categories.
In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN). The necessity of some requirements for a correct combining of uncertain information in expert systems is demonstrated and suitable rules are provided. The possibility is taken into account that interval estimates are given instead of exact information about probabilities. For combining information containing interval estimates rules are provided which are useful in many cases.
A Methodology For Uncertainty In Knowledge Based Systems
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Author : Kurt Weichselberger
language : en
Publisher:
Release Date : 2014-01-15
A Methodology For Uncertainty In Knowledge Based Systems written by Kurt Weichselberger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Systematic Introduction To Expert Systems
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Author : Frank Puppe
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Systematic Introduction To Expert Systems written by Frank Puppe and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
At present one of the main obstacles to a broader application of expert systems is the lack of a theory to tell us which problem-solving methods areavailable for a given problem class. Such a theory could lead to significant progress in the following central aims of the expert system technique: - Evaluating the technical feasibility of expert system projects: This depends on whether there is a suitable problem-solving method, and if possible a corresponding tool, for the given problem class. - Simplifying knowledge acquisition and maintenance: The problem-solving methods provide direct assistance as interpretation models in knowledge acquisition. Also, they make possible the development of problem-specific expert system tools with graphical knowledge acquisition components, which can be used even by experts without programming experience. - Making use of expert systems as a knowledge medium: The structured knowledge in expert systems can be used not only for problem solving but also for knowledge communication and tutorial purposes. With such a theory in mind, this book provides a systematic introduction to expert systems. It describes the basic knowledge representations and the present situation with regard tothe identification, realization, and integration of problem-solving methods for the main problem classes of expert systems: classification (diagnostics), construction, and simulation.
Utilizing Data And Knowledge Mining For Probabilistic Knowledge Bases
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Author : Daniel Joseph Stein
language : en
Publisher:
Release Date : 1996-12-01
Utilizing Data And Knowledge Mining For Probabilistic Knowledge Bases written by Daniel Joseph Stein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-12-01 with Knowledge acquisition (Expert systems) categories.
Problems can arise whenever inferencing is attempted on a knowledge base that is incomplete. Our work shows that data mining techniques can be applied to fill in incomplete areas in Bayesian Knowledge Bases (BKBs), as well as in other knowledge-based systems utilizing probabilistic representations. The problem of inconsistency in BKBs has been addressed in previous work, where reinforcement learning techniques from neural networks were applied. However, the issue of automatically solving incompleteness in BKBs has yet to be addressed. Presently, incompleteness in BKBs is repaired through the application of traditional knowledge acquisition techniques. We show how association rules can be extracted from databases in order to replace excluded information and express missing relationships. A methodology for incorporating those results while maintaining a consistent knowledge base is also included.
Uncertainty Models For Knowledge Based Systems
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Author : Irwin R. Goodman
language : en
Publisher: North Holland
Release Date : 1985
Uncertainty Models For Knowledge Based Systems written by Irwin R. Goodman and has been published by North Holland this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Computers categories.
Complex Systems In Knowledge Based Environments Theory Models And Applications
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Author : Andreas Tolk
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-01-17
Complex Systems In Knowledge Based Environments Theory Models And Applications written by Andreas Tolk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-17 with Mathematics categories.
The tremendous growth in the availability of inexpensive computing power and easy availability of computers have generated tremendous interest in the design and imp- mentation of Complex Systems. Computer-based solutions offer great support in the design of Complex Systems. Furthermore, Complex Systems are becoming incre- ingly complex themselves. This research book comprises a selection of state-of-the-art contributions to topics dealing with Complex Systems in a Knowledge-based En- ronment. Complex systems are ubiquitous. Examples comprise, but are not limited to System of Systems, Service-oriented Approaches, Agent-based Systems, and Complex Distributed Virtual Systems. These are application domains that require knowledge of engineering and management methods and are beyond the scope of traditional systems. The chapters in this book deal with a selection of topics which range from unc- tainty representation, management and the use of ontological means which support and are large-scale business integration. All contributions were invited and are based on the recognition of the expertise of the contributing authors in the field. By colle- ing these sources together in one volume, the intention was to present a variety of tools to the reader to assist in both study and work. The second intention was to show how the different facets presented in the chapters are complementary and contribute towards this emerging discipline designed to aid in the analysis of complex systems.