Controlling ist heute ohne EDV-Unterstützung nicht mehr vorstellbar. Dabei darf nicht verkannt werden, daß es eine wesentliche Aufgabe des Controlling sein muß, gestaltend bei der Weiterentwicklung von Informationssystemen mitzuwirken. Nicht nur die Überwachung kostspieliger EDV-Projekte steht im Vordergrund, sondern auch die Schaffung von informatorischer Transparenz. Das Aufkommen von Executive Information Systemen (EIS) und Expertensystemen zur Management by Exception-orientierten Auswertung von Daten und deren anschließende grafische Aufbereitung zu Management-Berichten zeigt die EDV-technischen Integrationsanstrengungen, die in diesem Konzept top-down initiiert werden. Neben der Entwicklung von Architekturen integrierter Informationssysteme reflektieren zwei Beiträge dieser Tagung die Erfahrungen bei der Konzeption eines Informationsmodells sowie der Entwicklung von modernen Anwendungsarchitekturen für Rechnungswesen- und Controlling-Software.
Handbook of VLSI Chip Design and Expert Systems provides information pertinent to the fundamental aspects of expert systems, which provides a knowledge-based approach to problem solving. This book discusses the use of expert systems in every possible subtask of VLSI chip design as well as in the interrelations between the subtasks. Organized into nine chapters, this book begins with an overview of design automation, which can be identified as Computer-Aided Design of Circuits and Systems (CADCAS). This text then presents the progress in artificial intelligence, with emphasis on expert systems. Other chapters consider the impact of design automation, which exploits the basic capabilities of computers to perform complex calculations and to handle huge amounts of data with a high speed and accuracy. This book discusses as well the characterization of microprocessors. The final chapter deals with interactive I/O devices. This book is a valuable resource for system design experts, circuit analysts and designers, logic designers, device engineers, technologists, and application-specific designers.
a practical guide to knowledge-based systems for manufacturers
Author: William H. VerDuin
Publisher: Irwin Professional Publishing
Category: Business & Economics
Knowledge-based systems, including Artificial Intelligence, are both popular research topics and exciting computer technologies. They can also be powerful problem-solving tools in manufacturing and design environments. This book reveals--in layman's terms--the nature, benefits, and strategic opportunities presented by expert systems, fuzzy logic, and neural networks, three distinct but complimentary technologies.
Expert Systems are so far the most promising achievement of artificial intelligence research. Decision making, planning, design, control, supervision and diagnosis are areas where they are showing great potential. However, the establishment of expert system technology and its actual industrial impact are still limited by the lack of a sound, general and reliable design and construction methodology. This book has a dual purpose: to offer concrete guidelines and tools to the designers of expert systems, and to promote basic and applied research on methodologies and tools. It is a coordinated collection of papers from researchers in the USA and Europe, examining important and emerging topics, methodological advances and practical experience obtained in specific applications. Each paper includes a survey introduction, and a comprehensive bibliography is provided.
Author: Brian Sawyer,Dennis Foster,Dennis L. Foster
Publisher: *Wiley Press
This is the first build-it-yourself guide to writing an expert system. The fact that the entire program can be written in either of the two most popular Pascal dialects, UCSD and Turbo, makes this easily accessible to all individual programmers.
A practical guide to planning, building, and managing the development of an expert system. Provides comprehensive treatment of expert systems techniques, from basic concepts of knowledge acquisition to managing the expert system development effort. Contains three recent case studies that illustrate the methods used to analyze, design, develop, and manage the creation of an expert system. Provides illustrations, charts, diagrams, examples, and actual code from working systems.
Selected Bibliography and Guide to Information Sources
Author: Marlene A. Palmer
Publisher: IGI Global
This comprehensive reference to all areas of expert systems and applications, plus advanced related topics, lets you spend your time reading expert systems literature rather than searching for it. It gives you a source of historical perspectives and outlooks on the future of the field. Whether you are a manager, a developer or an end user or researcher, Expert Systems and Related Topics: Selected Bibliography & Guide to Information Sources puts all the sources of expert systems literature at your fingertips.
Decision Support Systems Engineering Andrew P. Sage This practical guide describes the everyday nuts-and-bolts to building a decision support system that unites the concerns of both system designers and users. Beginning with an outline of the generic components of a decision support system, readers are given a technologically rigorous, yet clear, tour of its assembly line basics. Data-base management systems, model-base management systems, and dialog generation and management systems are clearly described, with emphasis on how these make a decision support system feasible and practical. 1991 (0 471-53000-X) 360 pp. Software Systems Engineering Andrew P. Sage and James D. Palmer This unique text provides a thorough introduction to all aspects of the developmental life cycle of software production. For those interested in applying a systems-based approach to software development, Software Systems Engineering discusses key aspects of such an approach—from software quality, software reliability, and development environments, to integration, maintenance, management, and cost analysis. The book’s practical look features a set of tools instrumental to success in each life cycle phase, as well as a taxonomy of methods for making the productivity tools available and subject to wider use. 1990 (0 471-61758-X) 544 pp. Design for Success A Human-Centered Approach to Designing Successful Products and Systems William B. Rouse Drawn from methods tested in a wide array of industries—aviation, the process and power industries, manufacturing, the marine industry, and communications—this important text details how to design products and systems that are market-driven and user-oriented. Using a variety of methods and tools illustrated with case studies, Design for Success outlines a concrete, human-centered approach to the design of complex systems. This new approach to system design includes a look at understanding users’ needs, design and engineering evaluation of product and systems, and more. 1991 (0 471-52483-2) 304 pp.
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.
Building an expert system involves eliciting, analyzing, and interpreting the knowledge that a human expert uses when solving problems. Expe rience has shown that this process of "knowledge acquisition" is both difficult and time consuming and is often a major bottleneck in the production of expert systems. Unfortunately, an adequate theoretical basis for knowledge acquisition has not yet been established. This re quires a classification of knowledge domains and problem-solving tasks and an improved understanding of the relationship between knowledge structures in human and machine. In the meantime, expert system builders need access to information about the techniques currently being employed and their effectiveness in different applications. The aim of this book, therefore, is to draw on the experience of AI scientists, cognitive psychologists, and knowledge engineers in discussing particular acquisition techniques and providing practical advice on their application. Each chapter provides a detailed description of a particular technique or methodology applied within a selected task domain. The relative strengths and weaknesses of the tech nique are summarized at the end of each chapter with some suggested guidelines for its use. We hope that this book will not only serve as a practical handbook for expert system builders, but also be of interest to AI and cognitive scientists who are seeking to develop a theory of knowledge acquisition for expert systems.
The Technology of Knowledge Management and Decision Making for the 21st Century
Author: Cornelius T. Leondes
This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Key Features * Expert systems techniques and applications are presented for a diverse array of topics including: * Experimental design and decision support * The integration of machine learning with knowledge acquisition for the design of expert systems * Process planning in design and manufacturing systems and process control applications * Knowledge discovery in large-scale knowledge bases * Robotic systems * Geograhphic information systems * Image analysis, recognition and interpretation * Cellular automata methods for pattern recognition * Real-time fault tolerant control systems * CAD-based vision systems in pattern matching processes * Financial systems * Agricultural applications * Medical diagnosis
A Practical Guide to SysML, Third Edition, fully updated for SysML version 1.4, provides a comprehensive and practical guide for modeling systems with SysML. With their unique perspective as leading contributors to the language, Friedenthal, Moore, and Steiner provide a full description of the language along with a quick reference guide and practical examples to help you use SysML. The book begins with guidance on the most commonly used features to help you get started quickly. Part 1 explains the benefits of a model-based approach, providing an overview of the language and how to apply SysML to model systems. Part 2 includes a comprehensive description of SysML that provides a detailed understanding that can serve as a foundation for modeling with SysML, and as a reference for practitioners. Part 3 includes methods for applying model-based systems engineering using SysML to specify and design systems, and how these methods can help manage complexity. Part 4 deals with topics related to transitioning MBSE practice into your organization, including integration of the system model with other engineering models, and strategies for adoption of MBSE. Learn how and why to deploy MBSE in your organization with an introduction to systems and model-based systems engineering Use SysML to describe systems with this general overview and a detailed description of the Systems Modeling Language Review practical examples of MBSE methodologies to understand their application to specifying and designing a system Includes comprehensive modeling notation tables as an appendix that can be used as a standalone reference
Expert judgment is used in response to an enormous diversity of technical problems. The expert is often required to perform a role when other sources, such as measurement, observations, experimentation, or simulation are unavailable or not widely agreed upon. However, many problems are faced in translating expert judgment into reliable and unbiased solutions. With the correct elicitation and analysis techniques, Meyer and Booker show that using expert judgment can be infinitely more reliable and efficient.**The subject of this book is analyzing and eliciting expert judgment for practical applications. The authors provide guidelines for formal elicitation and analysis, with particular reference to methods developed in the field of human cognition and communication. They also outline the principle which proscribes that elicitation and analysis techniques should not be arbitrarily adopted but should always be dependent on the experts and their domain and on the way humans actually think. The book will allow even novice readers to design appropriate methods for their own particular application according to this principle.
In May 1997, IBM's Deeper Blue defeated the world chess champion Gary Kasparov, showing that an artificial intelligence system can outplay even the most skilled of human experts. Since the first expert systems appeared in the late sixties, we have seen three decades of research and development engineer human knowledge to more practical ends, in a pioneering effort that has integrated diverse areas of cognitive and computer science. Today, expert systems exist in many forms, from medical diagnosis to investment analysis and from counseling to production control. This third edition of Peter Jackson's best-selling book updates the technological base of expert systems research and embeds those developments in a wide variety of application areas. The earlier chapters have been refocused to take a more practical approach to the basic topics, while the later chapters introduce new topic areas such as case-based reasoning, connectionist systems and hybrid systems. Results in related areas, such as machine learning and reasoning with uncertainty, are also accorded a thorough treatment. The new edition contains many new examples and exercises, most of which are in CLIPS, a language that combines production rules with object-oriented programming. LISP, PROLOG and C++ are also featured where appropriate. Interesting problems are posed throughout, and are solved in exercises involving the analysis, design and implementation of CLIPS programs. This book will prove useful to a wide readership including general readers, students and teachers, software engineers and researchers. Its modular structure enables readers to follow a pathway most suited to their needs, providing them with an up-to-date account of expert systems technology. Peter Jackson is Director of Research at West Group, a division of The Thomson Corporation and the leading provider of information to the US legal market. Peter drives the application of natural language and information retrieval technologies to the information needs of law and business. Previous appointments include Principal Scientist at the McDonnell Douglas Research Laboratories in Saint Louis, Missouri, and Lecturer in the Department of Artificial Intelligence at the University of Edinburgh, Scotland.