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Knowledge Based Systems Four Volume Set
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Book Synopsis Knowledge-Based Systems, Four-Volume Set by : Cornelius T. Leondes
Download or read book Knowledge-Based Systems, Four-Volume Set written by Cornelius T. Leondes and published by Elsevier. This book was released on 2000-07-11 with total page 1449 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision-making. With volumes covering "Implementation," "Optimization," "Computer Techniques," and "Systems and Applications," this comprehensive set constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.
Book Synopsis Knowledge-Based Systems by : Rajendra Akerkar
Download or read book Knowledge-Based Systems written by Rajendra Akerkar and published by Jones & Bartlett Learning. This book was released on 2010-08-30 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Based Systems (KBS) are systems that use artificial intelligence techniques in the problem solving process. This text is designed to develop an appreciation of KBS and their architecture and to help users understand a broad variety of knowledge based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters are designed to be modular providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material being presented and to stimulate thought and discussion.
Book Synopsis The Engineering of Knowledge-based Systems by : Avelino J. González
Download or read book The Engineering of Knowledge-based Systems written by Avelino J. González and published by . This book was released on 1993 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides comprehensive single-volume coverage of both the theory and the applications of knowledge-based systems.
Book Synopsis Knowledge-based Expert Systems in Chemistry by : Philip Judson
Download or read book Knowledge-based Expert Systems in Chemistry written by Philip Judson and published by Royal Society of Chemistry. This book was released on 2009 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about the development of knowledge-based, and related, expert systems in chemistry and toxicology. It shows how computers can work with qualitative information where precise numerical methods are not satisfactory.
Book Synopsis Intelligent Knowledge-Based Systems by : Cornelius T. Leondes
Download or read book Intelligent Knowledge-Based Systems written by Cornelius T. Leondes and published by Springer Science & Business Media. This book was released on 2010-04-28 with total page 2041 pages. Available in PDF, EPUB and Kindle. Book excerpt: This five-volume set clearly manifests the great significance of these key technologies for the new economies of the new millennium. The discussions provide a wealth of practical ideas intended to foster innovation in thought and, consequently, in the further development of technology. Together, they comprise a significant and uniquely comprehensive reference source for research workers, practitioners, computer scientists, academics, students, and others on the international scene for years to come.
Book Synopsis Building Large Knowledge-based Systems by : Douglas B. Lenat
Download or read book Building Large Knowledge-based Systems written by Douglas B. Lenat and published by Addison Wesley Publishing Company. This book was released on 1989 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter one presents the Cyc "philosophy" or paradigm. Chapter 2 presents a global overview of Cyc, including its representation language, the ontology f its knowledge base, and teh environment which it functions. Chapter 3 goes into much more detail on the representation language, including the structure and function of Cyc's metalevel agenda mechanism. Chapter 4 presents heuristics for ontological engineering, the pricnples upon whcihc Cyc's ontology is based. Chapter 5 the provides a glimpse into the global ontology of knowledge. Chapter 6 explains how we "solve" (i.e., adequately handle) the various tough representation thorns (substances, time, space, structures, composite mental/physical objects, beliefs, uncertainty, etc. ). Chapter 7 surveys the mistakes that new knowledge tnereres most often commit. Chapter 8, the concluding chapter, includes a brief status report on the project, and a statement of goals and a timetable for the coming five years.
Book Synopsis Knowledge-based Expert Systems in Chemistry by : Philip Judson
Download or read book Knowledge-based Expert Systems in Chemistry written by Philip Judson and published by Royal Society of Chemistry. This book was released on 2019-02-07 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: There have been significant developments in the use of knowledge-based expert systems in chemistry since the first edition of this book was published in 2009. This new edition has been thoroughly revised and updated to reflect the advances. The underlying theme of the book is still the need for computer systems that work with uncertain or qualitative data to support decision-making based on reasoned judgements. With the continuing evolution of regulations for the assessment of chemical hazards, and changes in thinking about how scientific decisions should be made, that need is ever greater. Knowledge-based expert systems are well established in chemistry, especially in relation to toxicology, and they are used routinely to support regulatory submissions. The effectiveness and continued acceptance of computer prediction depends on our ability to assess the trustworthiness of predictions and the validity of the models on which they are based. Written by a pioneer in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry. r in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry.r in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry.r in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry.
Book Synopsis Knowledge-based Systems in Artificial Intelligence by : Randall Davis
Download or read book Knowledge-based Systems in Artificial Intelligence written by Randall Davis and published by . This book was released on 1982 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: AM: discovery in mathematics as heuristic search. Example: discovering prime numbers. Agenda. Heuristics. Concepts. Results. Evaluating AM. Appendixes. Concepts. Heuristics. Trace. Bibliography. Teiresias: applications of meta-level knowledge. Explanation. Knowledge acquisition. Strategies. Conclusions. References.
Book Synopsis Introduction to Knowledge Systems by : Mark Stefik
Download or read book Introduction to Knowledge Systems written by Mark Stefik and published by Elsevier. This book was released on 2014-06-28 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on fundamental scientific and engineering issues, this book communicates the principles of building and using knowledge systems from the conceptual standpoint as well as the practical. Previous treatments of knowledge systems have focused on applications within a particular field, or on symbol-level representations, such as the use of frame and rule representations. Introduction to Knowledge Systems presents fundamentals of symbol-level representations including representations for time, space, uncertainty, and vagueness. It also compares the knowledge-level organizations for three common knowledge-intensive tasks: classification, configuration, and diagnosis. The art of building knowledge systems incorporates computer science theory, programming practice, and psychology. The scope of this book is appropriately broad, ranging from the design of hierarchical search algorithms to techniques for acquiring the task-specific knowledge needed for successful applications. Each chapter proceeds from concepts to applications, and closes with a brief tour of current research topics and open issues. Readers will come away with a solid foundation that will enable them to create real-world knowledge systems using whatever tools and programming languages are most current and appropriate.
Book Synopsis Information Processing and Management of Uncertainty in Knowledge-Based Systems by : Marie-Jeanne Lesot
Download or read book Information Processing and Management of Uncertainty in Knowledge-Based Systems written by Marie-Jeanne Lesot and published by Springer Nature. This book was released on 2020-06-05 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.
Book Synopsis Knowledge-Based Information Systems in Practice by : Jeffrey W. Tweedale
Download or read book Knowledge-Based Information Systems in Practice written by Jeffrey W. Tweedale and published by Springer. This book was released on 2015-01-21 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains innovative research from leading researchers who presented their work at the 17th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2013, held in Kitakyusha, Japan, in September 2013. The conference provided a competitive field of 236 contributors, from which 38 authors expanded their contributions and only 21 published. A plethora of techniques and innovative applications are represented within this volume. The chapters are organized using four themes. These topics include: data mining, knowledge management, advanced information processes and system modelling applications. Each topic contains multiple contributions and many offer case studies or innovative examples. Anyone that wants to work with information repositories or process knowledge should consider reading one or more chapters focused on their technique of choice. They may also benefit from reading other chapters to assess if an alternative technique represents a more suitable approach. This book will benefit anyone already working with Knowledge-Based or Intelligent Information Systems, however is suitable for students and researchers seeking to learn more about modern Artificial Intelligence techniques.
Book Synopsis Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations by : Jesús Medina
Download or read book Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations written by Jesús Medina and published by Springer. This book was released on 2018-05-30 with total page 835 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).
Book Synopsis Knowledge-Based Bioinformatics by : Gil Alterovitz
Download or read book Knowledge-Based Bioinformatics written by Gil Alterovitz and published by John Wiley & Sons. This book was released on 2011-04-20 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an increasing need throughout the biomedical sciences for a greater understanding of knowledge-based systems and their application to genomic and proteomic research. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. The text emphasizes the integration of different methods for analysing and interpreting biomedical data. This, in turn, can lead to breakthrough biomolecular discoveries, with applications in personalized medicine. Key Features: Explores the fundamentals and applications of knowledge-based and statistical approaches in bioinformatics and systems biology. Helps readers to interpret genomic, proteomic, and metabolomic data in understanding complex biological molecules and their interactions. Provides useful guidance on dealing with large datasets in knowledge bases, a common issue in bioinformatics. Written by leading international experts in this field. Students, researchers, and industry professionals with a background in biomedical sciences, mathematics, statistics, or computer science will benefit from this book. It will also be useful for readers worldwide who want to master the application of bioinformatics to real-world situations and understand biological problems that motivate algorithms.
Book Synopsis Intelligent Technologies for Web Applications by : Priti Srinivas Sajja
Download or read book Intelligent Technologies for Web Applications written by Priti Srinivas Sajja and published by CRC Press. This book was released on 2016-04-19 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet has become an integral part of human life, yet the web still utilizes mundane interfaces to the physical world, which makes Internet operations somewhat mechanical, tedious, and less human-oriented. Filling a large void in the literature, Intelligent Technologies for Web Applications is one of the first books to focus on providing vita
Book Synopsis Expert Systems by : Cornelius T. Leondes
Download or read book Expert Systems written by Cornelius T. Leondes and published by Elsevier. This book was released on 2001-09-26 with total page 2125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis
Book Synopsis Knowledge-based Design Systems by : Richard Coyne
Download or read book Knowledge-based Design Systems written by Richard Coyne and published by Addison Wesley Publishing Company. This book was released on 1990 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt:
