The Engineering Of Knowledge Based Systems
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The Engineering Of Knowledge Based Systems
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Author : Avelino J. González
language : en
Publisher:
Release Date : 1993
The Engineering Of Knowledge Based Systems written by Avelino J. González and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.
This volume provides comprehensive single-volume coverage of both the theory and the applications of knowledge-based systems.
Engineering Of Knowledge Based Systems
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Author : Avelino J. Gonzalez
language : en
Publisher: Prentice Hall
Release Date : 2000
Engineering Of Knowledge Based Systems written by Avelino J. Gonzalez and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Expert systems (Computer science) categories.
An Introduction To Knowledge Engineering
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Author : Simon Kendal
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-08
An Introduction To Knowledge Engineering written by Simon Kendal 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 2007-08-08 with Computers categories.
An Introduction to Knowledge Engineering presents a simple but detailed exp- ration of current and established work in the ?eld of knowledge-based systems and related technologies. Its treatment of the increasing variety of such systems is designed to provide the reader with a substantial grounding in such techno- gies as expert systems, neural networks, genetic algorithms, case-based reasoning systems, data mining, intelligent agents and the associated techniques and meth- ologies. The material is reinforced by the inclusion of numerous activities that provide opportunities for the reader to engage in their own research and re?ection as they progress through the book. In addition, self-assessment questions allow the student to check their own understanding of the concepts covered. The book will be suitable for both undergraduate and postgraduate students in computing science and related disciplines such as knowledge engineering, arti?cial intelligence, intelligent systems, cognitive neuroscience, robotics and cybernetics. vii Contents Foreword vii 1 An Introduction to Knowledge Engineering. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Section 1: Data, Information and Knowledge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Section 2: Skills of a Knowledge Engineer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Section 3: An Introduction to Knowledge-Based Systems. . . . . . . . . . . . . . . . . 18 2 Types of Knowledge-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Section 1: Expert Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Section 2: Neural Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 Section 3: Case-Based Reasoning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Section 4: Genetic Algorithms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Section 5: Intelligent Agents. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Section 6: Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 3 Knowledge Acquisition. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 4 Knowledge Representation and Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 Section 1: Using Knowledge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 Section 2: Logic, Rules and Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Section 3: Developing Rule-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 Section 4: Semantic Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Development Of Knowledge Based Systems For Engineering
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Author : Carlo Tasso
language : en
Publisher: Springer
Release Date : 2014-05-04
Development Of Knowledge Based Systems For Engineering written by Carlo Tasso and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-04 with Technology & Engineering categories.
The goal of the volume is twofold: to help engineers to understand the design and development process and the specific techniques utilized for constructing expert systems in engineering and, secondly, to introduce computer specialists to significant applications of knowledge-based techniques in engineering. Among the authors are world famous experts of engineering and knowledge-based systems development.
Knowledge Based Systems
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Author : Rajendra Akerkar
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2010-08-30
Knowledge Based Systems written by Rajendra Akerkar and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-30 with Computers categories.
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.
Engineering Of Knowledge Based Systems
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Author : Avelino Gonzalez
language : en
Publisher: Prentice Hall
Release Date : 2004-11-30
Engineering Of Knowledge Based Systems written by Avelino Gonzalez and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-30 with categories.
Intelligent Systems For Engineering
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Author : Ram D. Sriram
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Intelligent Systems For Engineering written by Ram D. Sriram 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 Technology & Engineering categories.
When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the en gineering industry. Most ofthe computer-aided engineering applications were . restricted to algorithmic computations, such as finite element programs and circuit analysis programs. However, a number ofproblems encountered in en gineering are not amenable to purely algorithmic solutions. These problems are often ill-structured; the term ill-structured problems is used here to de note problems that do not have a clearly defined algorithmic solution. An experienced engineer deals with these ill-structured problems using his/her judgment and experience. The knowledge-based systems (KBS) technology, which emerged out of research in artificial intelligence (AI), offers a method ologyto solve these ill-structuredengineering problems. The emergenceofthe KBS technology can be viewed as the knowledge revolution: other important events that led to increased productivity are the industrial revolution (17th century); the invention of the transistor and associated developments (first half of the 20th century); and the world-wide web (towards the end of the 20th century). Kurzweil, in a lecture at M. LT on December 3, 1987, linked the progress of automation to two industrial revolutions: the first industrial PREFACE xxxii revolution leveraged our physical capabilities, whereas the second industrial revolution - the knowledge revolution - is expected leverage oUr mental ca pabilities.
Knowledge Based Systems In Engineering
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Author : Clive L. Dym
language : en
Publisher: McGraw-Hill Companies
Release Date : 1991
Knowledge Based Systems In Engineering written by Clive L. Dym and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Architecture categories.
This book integrates the fundamentals of artifical intelligence (AI) approaches to knowledge representation with engineering examples. Its unified treatment makes it an essential tool in this emerging new field. Combining an informed approach to AI with engineering problem solving, this book is suitable for an introductory course on AI/expert systems which is specifically offered to engineers. The text provides an in-depth appreciation of the AI fundamentals underlying knowledge-based systems and covers rule-based, frame-based, and object-oriented representation with many engineering illustrations.
Xps 99 Knowledge Based Systems Survey And Future Directions
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Author : Frank Puppe
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-02-22
Xps 99 Knowledge Based Systems Survey And Future Directions 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 1999-02-22 with Computers categories.
This book constitutes the refereed proceedings of the 5th Biannual German Conference on Knowledge-Based Systems, XPS-99, held in Würzburg, Germany in March 1999. The book presents four invited surveys by leading scientists together with 14 revised full papers selected from more than 50 papers presented at the meeting. The papers address research issues in knowledge engineering, knowledge-based diagnosis, knowledge-based configuration, and case-based reasoning as well as advanced applications of knowledge-based systems in various fields.
Current Trends On Knowledge Based Systems
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Author : Giner Alor-Hernández
language : en
Publisher: Springer
Release Date : 2017-03-13
Current Trends On Knowledge Based Systems written by Giner Alor-Hernández and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-13 with Technology & Engineering categories.
This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others. Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc. As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used in different domains. The book offers a valuable resource for PhD students, Master’s and undergraduate students of Information Technology (IT)-related degrees such as Computer Science, Information Systems and Electronic Engineering.