Knowledge Based Systems

Author : Rajendra Akerkar,Priti Sajja
Publisher : Jones & Bartlett Learning
Page : 375 pages
File Size : 41,6 Mb
Release : 2010-08-30
Category : Computers
ISBN : 9780763776473

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Knowledge-Based Systems by Rajendra Akerkar,Priti Sajja Pdf

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.

Author : Avelino J. González,Douglas D. Dankel
Publisher : Unknown
Page : 554 pages
File Size : 46,8 Mb
Release : 1993
Category : Computers
ISBN : UOM:39015062497808

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The Engineering of Knowledge-based Systems by Avelino J. González,Douglas D. Dankel Pdf

This volume provides comprehensive single-volume coverage of both the theory and the applications of knowledge-based systems.

Author : Carlo Tasso,Edoardo R.de Arantes e Oliveira
Publisher : Springer
Page : 241 pages
File Size : 49,6 Mb
Release : 2014-05-04
Category : Technology & Engineering
ISBN : 9783709127841

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Development of Knowledge-Based Systems for Engineering by Carlo Tasso,Edoardo R.de Arantes e Oliveira Pdf

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.

Author : Cornelius T. Leondes
Publisher : Springer Science & Business Media
Page : 2041 pages
File Size : 41,7 Mb
Release : 2010-04-28
Category : Computers
ISBN : 9781402078293

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Intelligent Knowledge-Based Systems by Cornelius T. Leondes Pdf

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.

Author : Giner Alor-Hernández,Rafael Valencia-García
Publisher : Springer
Page : 290 pages
File Size : 44,7 Mb
Release : 2017-03-13
Category : Technology & Engineering
ISBN : 9783319519050

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Current Trends on Knowledge-Based Systems by Giner Alor-Hernández,Rafael Valencia-García Pdf

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.

Author : Michael L. Brodie,John Mylopoulos
Publisher : Springer Science & Business Media
Page : 650 pages
File Size : 50,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461249801

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On Knowledge Base Management Systems by Michael L. Brodie,John Mylopoulos Pdf

Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech nology that will enable operational large-scale knowledge-based system applications.

Author : Cornelius T. Leondes
Publisher : Unknown
Page : 424 pages
File Size : 45,7 Mb
Release : 2000
Category : Artificial intelligence
ISBN : UOM:39015043258998

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Knowledge-based Systems: Systems and applications by Cornelius T. Leondes Pdf

Author : Clive L. Dym,Raymond E. Levitt
Publisher : McGraw-Hill Companies
Page : 440 pages
File Size : 52,7 Mb
Release : 1991
Category : Architecture
ISBN : UOM:39015019602195

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Knowledge-based Systems in Engineering by Clive L. Dym,Raymond E. Levitt Pdf

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.

Author : Manuel Graña
Publisher : IOS Press
Page : 2307 pages
File Size : 52,6 Mb
Release : 2012
Category : Computers
ISBN : 9781614991045

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Advances in Knowledge-Based and Intelligent Information and Engineering Systems by Manuel Graña Pdf

In this 2012 edition of Advances in Knowledge-Based and Intelligent Information and Engineering Systems the latest innovations and advances in Intelligent Systems and related areas are presented by leading experts from all over the world. The 228 papers that are included cover a wide range of topics. One emphasis is on Information Processing, which has become a pervasive phenomenon in our civilization. While the majority of Information Processing is becoming intelligent in a very broad sense, major research in Semantics, Artificial Intelligence and Knowledge Engineering supports the domain specific applications that are becoming more and more present in our everyday living. Ontologies play a major role in the development of Knowledge Engineering in various domains, from Semantic Web down to the design of specific Decision Support Systems. Research on Ontologies and their applications is a highly active front of current Computational Intelligence science that is addressed here. Other subjects in this volume are modern Machine Learning, Lattice Computing and Mathematical Morphology.The wide scope and high quality of these contributions clearly show that knowledge engineering is a continuous living and evolving set of technologies aimed at improving the design and understanding of systems and their relations with humans.

Author : Randall Davis,Douglas B. Lenat
Publisher : Unknown
Page : 522 pages
File Size : 55,9 Mb
Release : 1982
Category : Computers
ISBN : UOM:39015011188912

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Knowledge-based Systems in Artificial Intelligence by Randall Davis,Douglas B. Lenat Pdf

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.

Author : Daniel L. Schmoldt,H. Michael Rauscher
Publisher : Springer Science & Business Media
Page : 407 pages
File Size : 54,8 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461311553

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Building Knowledge-Based Systems for Natural Resource Management by Daniel L. Schmoldt,H. Michael Rauscher Pdf

If one were forced to use a single key word to describe the decade of the 1980's, a very prominent one would be "technology. " Leading the forefront of tech nology advancement were breakthroughs in electronics. Devices that were uncommon or unknown in 1980 became commonplace, and almost indispens able, by 1989. This trend has continued into the 1990's and it does not seem to be abating in any way. Microwave ovens, video recorders, telephone answer ing machines, compact disc players, computers, and a host of smaller or less sophisticated devices now appear in most households. The development of small and inexpensive computers, i. e. , personal computers, has placed computing resources within reach of many more people. In addition, many traditional, and largely mechanical devices, have been enhanced by electronics. For example, specialized microprocessors are combined with arrays of electronic sensors to control and monitor sophisticated engineering components in most new auto mobiles. In this and many other ways, we are touched by the new electronics in almost every aspect of our daily lives. Initially, personal computers were little more than toys. They contained only a small fraction of the computing power of their immediate ancestors, the mini computers and mainframe computers. However, rapid improvements in integ rated circuit design and chip manufacture produced regular reductions in size and cost of computer components. During the same time, processor speed and sophistication increased.

Author : Rudolf Kruse,Erhard Schwecke,Jochen Heinsohn
Publisher : Springer Science & Business Media
Page : 495 pages
File Size : 49,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642767029

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Uncertainty and Vagueness in Knowledge Based Systems by Rudolf Kruse,Erhard Schwecke,Jochen Heinsohn Pdf

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 : Rajendra Akerkar,Priti Sajja
Publisher : Jones & Bartlett Publishers
Page : 375 pages
File Size : 53,5 Mb
Release : 2009-08-25
Category : Computers
ISBN : 9781449662707

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Knowledge-Based Systems by Rajendra Akerkar,Priti Sajja Pdf

A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and 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 is 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 presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.

Author : Douglas B. Lenat,R. V. Guha
Publisher : Addison Wesley Publishing Company
Page : 408 pages
File Size : 45,8 Mb
Release : 1989
Category : Computers
ISBN : UOM:39015017925432

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Building Large Knowledge-based Systems by Douglas B. Lenat,R. V. Guha Pdf

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.

Author : Richard A. Frost
Publisher : Simon & Schuster Books For Young Readers
Page : 712 pages
File Size : 46,9 Mb
Release : 1986
Category : Computers
ISBN : UOM:39015011740043

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Introduction to Knowledge Base Systems by Richard A. Frost Pdf