Knowledge-Based Intelligent Information and Engineering Systems

Knowledge-Based Intelligent Information and Engineering Systems

Author: Bruno Apolloni

Publisher: Springer

ISBN: 9783540748199

Category: Computers

Page: 884

View: 216

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This book is part of a three-volume set that constitutes the refereed proceedings of the 11th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2007. Coverage in this first volume includes artificial neural networks and connectionists systems, fuzzy and neuro-fuzzy systems, evolutionary computation, machine learning and classical AI, agent systems, and information engineering and applications in ubiquitous computing environments.

Intelligent Knowledge-Based Systems

Intelligent Knowledge-Based Systems

Author: Cornelius T. Leondes

Publisher: Springer Science & Business Media

ISBN: 9781402078293

Category: Computers

Page: 1895

View: 812

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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.

XPS-99: Knowledge-Based Systems - Survey and Future Directions

XPS-99: Knowledge-Based Systems - Survey and Future Directions

Author: Frank Puppe

Publisher: Springer

ISBN: 9783540491491

Category: Computers

Page: 236

View: 684

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A special year like 1999 invites one to draw a balance of what has been achieved in the roughly 30 years of research and development in knowledge based systems (still abbreviated as XPS following the older term “expert systems”) and to take a look at th what the future may hold. For the 5 German conference on knowledge-based systems we therefore asked current and former speakers of the four working groups (FG’s) in the subdivision of knowledge-based systems (FA 1.5) of the German association of Informatics (GI) to present a survey of and future prospects for their respective fields: knowledge engineering, diagnosis, configuration, and case-based reasoning. An additional 14 technical papers deal with current topics in knowledge-based systems with an equal emphasis on methods and applications. They are selected from more than 50 papers accepted in the 4 parallel workshops of XPS-99: a) Knowledge Management, Organizational Memory and Reuse, b) various fields of applications, c) the traditional PuK Workshop (planning and configuration), and d) the GWCBR (German workshop on case-based reasoning). The other papers presented at these workshops are not included in this volume but are available as internal reports of Würzburg university together with the exhibition guide that emphasizing tool support for building knowledge based systems.

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Author: Jesús Medina

Publisher: Springer

ISBN: 9783319914732

Category: Computers

Page: 806

View: 367

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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).

Handbook for Evaluating Knowledge-Based Systems

Handbook for Evaluating Knowledge-Based Systems

Author: Leonard Adelman

Publisher: Springer

ISBN: UOM:39015040077383

Category: Business & Economics

Page: 424

View: 941

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Knowledge-based systems are increasingly found in a wide variety of settings and this handbook has been written to meet a specific need in their widening use. While there have been many successful applications of knowledge-based systems, some applications have failed because they never received the corrective feedback that evaluation provides for keeping development focused on the users' needs in their actual working environment. This handbook provides a conceptual framework and compendium of methods for performing evaluations of knowledge-based systems during their development. Its focus is on the users' and subject matter experts' evaluation of the usefulness of the system, and not on the developers' testing of the adequacy of the programming code. The handbook permits evaluators to systematically answer the following kinds of questions: Does the knowledge-based system meet the users' task requirements? Is the system easy to use? Is the knowledge base logically consistent? Does it meet the required level of expertise? Does the system improve performance? The authors have produced a handbook that will serve two audiences: a tool that can be used to create knowledge-based systems (practitioners, developers, and evaluators) and a framework that will stimulate more research in the area (academic researchers and students). To accomplish this, the handbook is built around a conceptual framework that integrates the different types of evaluations into the system of development process. The kinds of questions that can be answered, and the methods available for answering them, will change throughout the system development life cycle. And throughout this process, one needs to know what can be done, and what can't. It is this dichotomy that addresses needs in both the practitioner and academic research audiences.

Knowledge-based Systems in Manufacturing

Knowledge-based Systems in Manufacturing

Author: Andrew Kusiak

Publisher: Taylor & Francis Group

ISBN: UOM:39015012007061

Category: Science

Page: 387

View: 416

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Fifteen papers represent recent advances by workers in America, Europe and Japan. They cover: symbolic reasoning techniques, knowledge representation schemes, application of machine learning, techniques, off-line configuration design and process planning and control, scheduling, storage and retriev

Design and Development of Knowledge-Based Systems

Design and Development of Knowledge-Based Systems

Author: Giovanni Guida

Publisher: John Wiley & Sons Incorporated

ISBN: UCSC:32106010425004

Category: Computers

Page: 476

View: 564

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This book focuses on how to develop large-scale Knowledge-Based Systems within budget and on time. The authors teach step-by-step techniques through the knowledge-based system life cycle from the initial development to maintenance of the system.