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Automated Generation Of Model Based Knowledge Acquisition Tools
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Book Synopsis Automated Generation of Model-based Knowledge-acquisition Tools by : Mark A. Musen
Download or read book Automated Generation of Model-based Knowledge-acquisition Tools written by Mark A. Musen and published by Morgan Kaufmann. This book was released on 1989 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book KADS written by Guus Schreiber and published by Academic Press. This book was released on 1993-05-05 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: KADS is a structured methodology for the development of knowledge based systems which has been adopted throughout the world by academic and industrial professionals alike. KADS approaches development as a modeling activity. Two key characteristics of KADS are the use of multiple models to cope with the complexity of knowledge engineering and the use of knowledge-level descriptions as an immediate model between system design and expertise data. The result is that KADS enables effective KBS construction by building a computational model of desired behavior for a particular problem domain. KADS contains three section: the Theoretical Basis of KADS, Languages and Tools, and Applications. Together they form a comprehensive sourcebook of the how and why of the KADS methodology. KADS will be required reading for all academic and industrial professionals concerned with building knowledge-based systems. It will also be a valuable source for students of knowledge acquisition and KBS. * SPECIAL FEATURES: * KADS is the most widely used commercial structured methodology for KBS development in Europe and is becoming one of the few significant AI exports to the US. * Describes KADS from its Theoretical Basis, through Language and Tool Developments, to real Applications.
Book Synopsis Knowledge Acquisition, Modeling and Management by : Dieter Fensel
Download or read book Knowledge Acquisition, Modeling and Management written by Dieter Fensel and published by Springer Science & Business Media. This book was released on 1999-05-19 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management, EKAW '99, held at Dagstuhl Castle, Germany in May 1999. The volume presents 16 revised full papers and 15 revised short papers were carefully reviewed and selected form a high number of submissions. Also included are two invited papers. The papers address issues of knowledge acquisition (i.e., the process of extracting, creating, structuring knowledge, etc.), of knowledge-level modeling for knowledge-based systems, and of applying and redefining this work in a knowledge management and knowledge engineering context.
Book Synopsis A Future for Knowledge Acquisition by : Luc Steels
Download or read book A Future for Knowledge Acquisition written by Luc Steels and published by Springer Science & Business Media. This book was released on 1994-09-14 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few years rapid advances have been made in reproductive medicine, making it necessary for those involved to regularly update their knowledge. The purpose of this book is to describe the state of the art in this field, making it possible for the reader to gain an orientation among all the diagnostic and therapeutic potentials of modern reproductive medicine in order to advise patients fully. Chapters from the fields of gynecology, and reproductive medicine in a specific sense provide knowledge about these subjects. Authors of international standing have contributed chapters on their specialties. These chapters together form a book describing the state of the art in the diagnosis and therapy of sterility in gynecology and andrology.
Book Synopsis Knowledge Acquisition, Modeling and Management by : Rudi Studer
Download or read book Knowledge Acquisition, Modeling and Management written by Rudi Studer and published by Springer. This book was released on 2003-06-29 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Past, Present, and Future of Knowledge Acquisition This book contains the proceedings of the 11th European Workshop on Kno- edge Acquisition, Modeling, and Management (EKAW ’99), held at Dagstuhl Castle (Germany) in May of 1999. This continuity and the high number of s- missions re?ect the mature status of the knowledge acquisition community. Knowledge Acquisition started as an attempt to solve the main bottleneck in developing expert systems (now called knowledge-based systems): Acquiring knowledgefromahumanexpert. Variousmethodsandtoolshavebeendeveloped to improve this process. These approaches signi?cantly reduced the cost of - veloping knowledge-based systems. However, these systems often only partially ful?lled the taskthey weredevelopedfor andmaintenanceremainedanunsolved problem. This required a paradigm shift that views the development process of knowledge-based systems as a modeling activity. Instead of simply transf- ring human knowledge into machine-readable code, building a knowledge-based system is now viewed as a modeling activity. A so-called knowledge model is constructed in interaction with users and experts. This model need not nec- sarily re?ect the already available human expertise. Instead it should provide a knowledgelevelcharacterizationof the knowledgethat is requiredby the system to solve the application task. Economy and quality in system development and maintainability are achieved by reusable problem-solving methods and onto- gies. The former describe the reasoning process of the knowledge-based system (i. e. , the algorithms it uses) and the latter describe the knowledge structures it uses (i. e. , the data structures). Both abstract from speci?c application and domain speci?c circumstances to enable knowledge reuse.
Book Synopsis Current Trends in Knowledge Acquisition by : Bob Wielinga
Download or read book Current Trends in Knowledge Acquisition written by Bob Wielinga and published by IOS Press. This book was released on 1990 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge acquisition has become a major area of artificial intelligence and cognitive science research. The papers in this book show that the area of knowledge acquisition for knowledge-based systems is still a diverse field in which a large number of research topics are being addressed. However, several main themes run through the papers. First, the issues of integrating knowledge from different sources and K.A. tools is a salient topic in many papers. A second major topic in the papers is that of knowledge modelling. Research in knowledge-based systems emphasises the use of generic models of reasoning and its underlying knowledge. An important trend in the area of knowledge modelling aims at the formalisation of knowledge models. Where the field of knowledge acquisition was without tools and techniques years ago, now there is a rapidly growing body of techniques and tools. Apart from the integrated workbenches already mentioned above, several papers in this book present new tools. Although knowledge acquisition and machine learning have been considered as separate subfields of AI, there is a tendency for the two fields to come together. This publication combines machine learning techniques with more conventional knowledge elicitation techniques. A framework is presented in which reasoning, problem solving and learning together form a knowledge intensive system that can acquire knowledge from its own experience.
Book Synopsis Knowledge Acquisition: Selected Research and Commentary by : Sandra Marcus
Download or read book Knowledge Acquisition: Selected Research and Commentary written by Sandra Marcus and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: What follows is a sampler of work in knowledge acquisition. It comprises three technical papers and six guest editorials. The technical papers give an in-depth look at some of the important issues and current approaches in knowledge acquisition. The editorials were pro duced by authors who were basically invited to sound off. I've tried to group and order the contributions somewhat coherently. The following annotations emphasize the connections among the separate pieces. Buchanan's editorial starts on the theme of "Can machine learning offer anything to expert systems?" He emphasizes the practical goals of knowledge acquisition and the challenge of aiming for them. Lenat's editorial briefly describes experience in the development of CYC that straddles both fields. He outlines a two-phase development that relies on an engineering approach early on and aims for a crossover to more automated techniques as the size of the knowledge base increases. Bareiss, Porter, and Murray give the first technical paper. It comes from a laboratory of machine learning researchers who have taken an interest in supporting the development of knowledge bases, with an emphasis on how development changes with the growth of the knowledge base. The paper describes two systems. The first, Protos, adjusts the training it expects and the assistance it provides as its knowledge grows. The second, KI, is a system that helps integrate knowledge into an already very large knowledge base.
Book Synopsis Second Generation Expert Systems by : Jean-Marc David
Download or read book Second Generation Expert Systems written by Jean-Marc David and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: Second Generation Expert Systems have been a very active field of research during the last years. Much work has been carried out to overcome drawbacks of first generation expert systems. This book presents an overview and new contributions from people who have played a major role in this evolution. It is divided in several sections that cover the main topics of the subject: - Combining Multiple Reasoning Paradigms - Knowledge Level Modelling - Knowledge Acquisition in Second Generation Expert Systems - Explanation of Reasoning - Architectures for Second Generation Expert Systems. This book can serve as a reference book for researchers and students and will also be an invaluable help for practitioners involved in KBS developments.
Book Synopsis The Acquisition of Strategic Knowledge by : Thomas R. Gruber
Download or read book The Acquisition of Strategic Knowledge written by Thomas R. Gruber and published by Elsevier. This book was released on 2013-07-10 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Acquisition of Strategic Knowledge deals with the automation of the acquisition of strategic knowledge and describes a knowledge acquisition program called ASK, which elicits strategic knowledge from domain experts and puts it in operational form. This book explores the dynamics of intelligent systems and how the components of knowledge systems (including a human expert) interact to produce intelligence. Emphasis is placed on how to represent knowledge that experts require to make decisions about actions. The move toward abstract tasks and how tasks are solved are discussed, along with their implications for knowledge acquisition, particularly the acquisition of expert strategies. This book is comprised of eight chapters and begins with an overview of the knowledge acquisition problem for strategic knowledge, as well as the relevance of strategic knowledge to artificial intelligence. The next chapter describes a dialog session between the ASK knowledge acquisition assistant and the user (""the expert""). The discussion then turns to software architecture with which to represent strategic knowledge; design and implementation of an assistant for acquiring strategic knowledge; and approaches to knowledge acquisition. Two applications of the ASK system are considered: to evaluate the usability of the elicitation technique with real users and to test the adequacy of the strategy rule representation upon which the approach is dependent. The scope of ASK, its sources of power, and its underlying assumptions are also outlined. This monograph will be a valuable resource for knowledge systems designers and those interested in artificial intelligence and expert systems.
Book Synopsis Reusable Components for Knowledge Modelling by : Enrico Motta
Download or read book Reusable Components for Knowledge Modelling written by Enrico Motta and published by . This book was released on 1999 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The PACE System written by Steven Evans and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this volume, Steven Evans reports on a quarter century of work-work that resulted in a commercial product known as the PACE System. An advanced clinical management system, PACE links all care delivery set tings and reaches across multiple episodes. It offers capabilities critical to managed care, including care planning and clinical pathways, the critical pathway analyzer and clinical repository central to outcomes-based care, and more. The pages that follow describe the PACE project, focusing on its knowl edge base and semantic network. They offer insights into system implemen tation and address the synthesis of principles within the PACE System. From this project in nursing informatics, Steven Evans relates both suc cesses and failures, sharing the strategies and techniques to adopt and pitfalls to avoid in a project that followed five years of preliminary theo retical work. With clarity and candor, he gives us the benefit of two decades of project development, first in academia and then in the commercial sector. Over the course of the project, many tens of millions of dollars and close to 500 person-years of effort were invested. Building on the strong conceptual base developed at Creigton University's School of Nursing, the project has seen exponential growth in its clinical capabilities since entering the commercial sector in 1989.
Book Synopsis Knowledge Engineering by : Gheorghe Tecuci
Download or read book Knowledge Engineering written by Gheorghe Tecuci and published by Cambridge University Press. This book was released on 2016-09-08 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using robust software, this book focuses on learning assistants for evidence-based reasoning that learn complex problem solving from humans.
Book Synopsis The Psychology of Expertise by : Robert R. Hoffman
Download or read book The Psychology of Expertise written by Robert R. Hoffman and published by Psychology Press. This book was released on 2014-02-25 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume investigates our ability to capture, and then apply, expertise. In recent years, expertise has come to be regarded as an increasingly valuable and surprisingly elusive resource. Experts, who were the sole active dispensers of certain kinds of knowledge in the days before AI, have themselves become the objects of empirical inquiry, in which their knowledge is elicited and studied -- by knowledge engineers, experimental psychologists, applied psychologists, or other experts -- involved in the development of expert systems. This book achieves a marriage between experimentalists, applied scientists, and theoreticians who deal with expertise. It envisions the benefits to society of an advanced technology for capturing and disseminating the knowledge and skills of the best corporate managers, the most seasoned pilots, and the most renowned medical diagnosticians. This book should be of interest to psychologists as well as to knowledge engineers who are "out in the trenches" developing expert systems, and anyone pondering the nature of expertise and the question of how it can be elicited and studied scientifically. The book's scope and the pivotal concepts that it elucidates and appraises, as well as the extensive categorized bibliographies it includes, make this volume a landmark in the field of expert systems and AI as well as the field of applied experimental psychology.
Book Synopsis Knowledge-based Systems: Advanced Concepts, Techniques And Applications by : Spyros Tzafestas
Download or read book Knowledge-based Systems: Advanced Concepts, Techniques And Applications written by Spyros Tzafestas and published by World Scientific. This book was released on 1997-06-16 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of knowledge-based systems (KBS) has expanded enormously during the last years, and many important techniques and tools are currently available. Applications of KBS range from medicine to engineering and aerospace.This book provides a selected set of state-of-the-art contributions that present advanced techniques, tools and applications. These contributions have been prepared by a group of eminent researchers and professionals in the field.The theoretical topics covered include: knowledge acquisition, machine learning, genetic algorithms, knowledge management and processing under uncertainty, conflict detection and resolution, structured knowledge architectures, and natural language-based man-machine communication.The Applications include: Real-time decision support, system fault diagnosis, quality assessment, manufacturing production, robotic assembly, and robotic welding.The reader can save considerable time in searching the scattered literature in the field, and can find here a powerful set of how-to-do issues and results.
Book Synopsis The Knowledge Acquisition and Representation Language, KARL by : Dieter Fensel
Download or read book The Knowledge Acquisition and Representation Language, KARL written by Dieter Fensel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the framework of so-called second generation expert systems [62] knowledge modeling is one of the most important aspects. On the one hand, knowledge acquisition is no longer seen as a knowledge transfer process, rather it is now considered as model construction process which is typically a cyclic and error prone process. On the other hand, the distinction between knowledge and symbol level descriptions [166] resulted in various proposals for conceptual knowledge models describing knowledge in an implementation independent way. One of the most prominent examples of such a conceptual model is the KADS model of expertise which is characterized by its clear distinction of different know ledge types and by the usage of specific modeling primitives to describe these different knowledge types [185]. The semi formal KADS expertise model entails all the advantages and disadvantages which have been identified for semi-formal system models e.g. in the software engineering community.
Book Synopsis A General Explanation-Based Learning Mechanism and Its Application to Narrative Understanding by : Raymond J. Mooney
Download or read book A General Explanation-Based Learning Mechanism and Its Application to Narrative Understanding written by Raymond J. Mooney and published by Morgan Kaufmann. This book was released on 1990 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: By Raymond J. Mooney.
Book Synopsis Readings in Knowledge Acquisition and Learning by : Bruce G. Buchanan
Download or read book Readings in Knowledge Acquisition and Learning written by Bruce G. Buchanan and published by Morgan Kaufmann Publishers. This book was released on 1993 with total page 926 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readings in Knowledge Acquisition and Learning collects the best of the artificial intelligence literature from the fields of machine learning and knowledge acquisition. This book brings together the perspectives on constructing knowledge-based systems from these two historically separate subfields of artificial intelligence.