Building Large Knowledge Based Systems

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Building Large Knowledge-based Systems

Author : Douglas B. Lenat,R. V. Guha
Publisher : Addison Wesley Publishing Company
Page : 408 pages
File Size : 45,6 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.

Towards Very Large Knowledge Bases

Author : N. J. I. Mars
Publisher : IOS Press
Page : 318 pages
File Size : 45,9 Mb
Release : 1995
Category : Computers
ISBN : 9051992173

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Towards Very Large Knowledge Bases by N. J. I. Mars Pdf

In the early days of artificial intelligence it was widely believed that powerful computers would, in the future, enable mankind to solve many real-world problems through the use of very general inference procedures and very little domain-specific knowledge. With the benefit of hindsight, this view can now be called quite naive. The field of expert systems, which developed during the early 1970s, embraced the paradigm that Knowledge is Power - even very fast computers require very large amounts of very specific knowledge to solve non-trivial problems. Thus, the field of large knowledge bases has emerged.

Creating Knowledge Based Organizations

Author : Jatinder N. D. Gupta,Sushil Kumar Sharma
Publisher : IGI Global
Page : 380 pages
File Size : 48,8 Mb
Release : 2004-01-01
Category : Computers
ISBN : 1591401623

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Creating Knowledge Based Organizations by Jatinder N. D. Gupta,Sushil Kumar Sharma Pdf

Creating Knowledge Based Organizations brings together high quality concepts and techniques closely related to organizational learning, knowledge workers, intellectual capital, and knowledge management. It includes the methodologies, systems and approaches that are needed to create and manage knowledge based organizations.

Knowledge-Based Systems

Author : Rajendra Akerkar,Priti Sajja
Publisher : Jones & Bartlett Learning
Page : 375 pages
File Size : 46,7 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.

Accuracy Improvements in Linguistic Fuzzy Modeling

Author : Jorge Casillas,O. Cordón,Francisco Herrera Triguero,Luis Magdalena
Publisher : Springer
Page : 392 pages
File Size : 40,9 Mb
Release : 2013-11-11
Category : Business & Economics
ISBN : 9783540370581

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Accuracy Improvements in Linguistic Fuzzy Modeling by Jorge Casillas,O. Cordón,Francisco Herrera Triguero,Luis Magdalena Pdf

Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas is linguistic fuzzy modeling, where the legibility of the obtained model is the main objective. This task is usually developed by means of linguistic (Mamdani) fuzzy rule-based systems. An active research area is oriented towards the use of new techniques and structures to extend the classical, rigid linguistic fuzzy modeling with the main aim of increasing its precision degree. Traditionally, this accuracy improvement has been carried out without considering the corresponding interpretability loss. Currently, new trends have been proposed trying to preserve the linguistic fuzzy model description power during the optimization process. Written by leading experts in the field, this volume collects some representative researcher that pursue this approach.

Knowledge-Based Systems, Four-Volume Set

Author : Cornelius T. Leondes
Publisher : Elsevier
Page : 1449 pages
File Size : 43,9 Mb
Release : 2000-07-11
Category : Computers
ISBN : 9780080535289

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Knowledge-Based Systems, Four-Volume Set by Cornelius T. Leondes Pdf

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.

Knowledge-Based Systems and Legal Applications

Author : T.J.M. Bench-Capon
Publisher : Academic Press
Page : 388 pages
File Size : 48,9 Mb
Release : 2015-05-11
Category : Computers
ISBN : 9781483295343

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Knowledge-Based Systems and Legal Applications by T.J.M. Bench-Capon Pdf

This book compiles the experience of the largest project in knowledge-based systems and the law yet undertaken. It provides an in-depth introduction to representation of law in computer programs, as well as more advanced discussion and description of large knowledge-based systems building, legal representation, cooperative work, and interface design in the context of the project. Describes the world's largest KBS and law project Contains an authoritative survey of approaches to legal knowledge representation Outlines several prototype systems Discusses the integration of KBS and law issues with HCI and social implications

Uncertainty in Knowledge-Based Systems

Author : Bernadette Bouchon-Meunier,Bernadette Bouchon,Ronald R. Yager
Publisher : Springer Science & Business Media
Page : 420 pages
File Size : 54,9 Mb
Release : 1987-11-04
Category : Computers
ISBN : 3540185798

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Uncertainty in Knowledge-Based Systems by Bernadette Bouchon-Meunier,Bernadette Bouchon,Ronald R. Yager Pdf

Knowledge Engineering and Agent Technology

Author : J. Cuena
Publisher : IOS Press
Page : 266 pages
File Size : 45,7 Mb
Release : 2004
Category : Artificial intelligence
ISBN : 0967335582

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Knowledge Engineering and Agent Technology by J. Cuena Pdf

The use of Knowledge Engineering and Agent Technology (KEAT) for application development is now recognized as an alternative to conventional software techniques in many application domains. From the background of the IFIP IT&KNOWS conference held in late 1998, this volume aims to discuss the role and the perspectives of domain models and corresponding reasoning processes in the different application fields under a common perspective to create conceptual bases and methods to develop and to improve the use of this type of approach in the context of information technology.

Intelligent knowledge based systems in electrical power engineering

Author : J.R. McDonald,Stephen McArthur,Graeme Burt,Jerry Zielinski
Publisher : Springer Science & Business Media
Page : 233 pages
File Size : 52,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461563877

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Intelligent knowledge based systems in electrical power engineering by J.R. McDonald,Stephen McArthur,Graeme Burt,Jerry Zielinski Pdf

Intelligent Knowledge Based Systems in Electrical Power Engineering details how intelligent applications can be used in the power industry. The book gives a general and historical overview of intelligent knowledge based systems (IKBS) and artificial intelligence (AI) and a broad analysis of the application of these techniques in the electrical power industry. It includes chapters on forecasting and planning in power systems, design of electrical plant and systems, IKBS in condition monitoring, alarm processing, event and fault diagnosis and an analysis of future trends in IKBS for power engineering. No previous knowledge of IKBS is assumed, but an appreciation of electrical transmission and distribution systems would be useful.

Building Knowledge Systems

Author : Michael A. Carrico,John E. Girard,Jennifer P. Jones
Publisher : Unknown
Page : 360 pages
File Size : 51,7 Mb
Release : 1989
Category : Computers
ISBN : STANFORD:36105032501749

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Building Knowledge Systems by Michael A. Carrico,John E. Girard,Jennifer P. Jones Pdf

Expert Systems and Intelligent Computer-aided Instruction

Author : Educational Technology Magazine Staff
Publisher : Educational Technology
Page : 220 pages
File Size : 51,6 Mb
Release : 1991
Category : Computer-assisted instruction
ISBN : 0877782245

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Expert Systems and Intelligent Computer-aided Instruction by Educational Technology Magazine Staff Pdf

Knowledge-Based Intelligent Information and Engineering Systems

Author : Rajiv Khosla,Robert J. Howlett
Publisher : Springer Science & Business Media
Page : 1473 pages
File Size : 41,7 Mb
Release : 2005-08-30
Category : Business & Economics
ISBN : 9783540288961

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Knowledge-Based Intelligent Information and Engineering Systems by Rajiv Khosla,Robert J. Howlett Pdf

Annotation The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684constitute the refereed proceedings of the 9th International Conferenceon Knowledge-Based Intelligent Information and Engineering Systems, KES2005, held in Melbourne, Australia in September 2005. The 716 revised papers presented were carefully reviewed and selected fromnearly 1400 submissions. The papers present a wealth of original researchresults from the field of intelligent information processing in thebroadest sense; topics covered in the first volume are intelligentdesign support systems, data engineering, knowledge engineering andontologies, knowledge discovery and data mining, advanced networkapplication, approaches and methods of security engineering, chancediscovery, information hiding and multimedia signal processing, softcomputing techniques and their applications, intelligent agenttechnology and applications, smart systems, knowledge - based interfacesystems, intelligent information processing for remote sensing, intelligent human computer interaction systems, experience managementand knowledge management, network (security) real-time and faulttolerant systems, advanced network application and real-time systems, and intelligent watermarking algorithms.

Artificial Intelligence

Author : Jack Copeland
Publisher : John Wiley & Sons
Page : 331 pages
File Size : 55,9 Mb
Release : 2015-07-29
Category : Philosophy
ISBN : 9781119189848

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Artificial Intelligence by Jack Copeland Pdf

Presupposing no familiarity with the technical concepts of either philosophy or computing, this clear introduction reviews the progress made in AI since the inception of the field in 1956. Copeland goes on to analyze what those working in AI must achieve before they can claim to have built a thinking machine and appraises their prospects of succeeding. There are clear introductions to connectionism and to the language of thought hypothesis which weave together material from philosophy, artificial intelligence and neuroscience. John Searle's attacks on AI and cognitive science are countered and close attention is given to foundational issues, including the nature of computation, Turing Machines, the Church-Turing Thesis and the difference between classical symbol processing and parallel distributed processing. The book also explores the possibility of machines having free will and consciousness and concludes with a discussion of in what sense the human brain may be a computer.