Research and Development in Expert Systems VIII PDF Download
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Author: British Computer Society. Specialist Group on Expert Systems. Technical Conference
Publisher: Cambridge University Press
ISBN: 9780521418386
Category : Computers
Languages : en
Pages : 290
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Book Description
This volume contains the refereed and invited papers from the eleventh annual conference of the British Computer Society's Specialist Group on Expert Systems, held in London in September 1991.
Author: British Computer Society. Specialist Group on Expert Systems. Technical Conference
Publisher: Cambridge University Press
ISBN: 9780521418386
Category : Computers
Languages : en
Pages : 290
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Book Description
This volume contains the refereed and invited papers from the eleventh annual conference of the British Computer Society's Specialist Group on Expert Systems, held in London in September 1991.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309062780
Category : Computers
Languages : en
Pages : 300
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Book Description
The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.
Author: Dan W. Patterson
Publisher:
ISBN: 9780876927779
Category : Artificial intelligence
Languages : en
Pages : 448
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Book Description
Author: Robert A. Benfer
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Social Science
Languages : en
Pages : 102
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Book Description
Introduces the concept of expert systems development as a model for the acquisition, representation and validation of knowledge about relatively limited domains. Case studies derive from the authors' own development experiences in the social sciences.
Author: Jean-Marc David
Publisher: Springer Science & Business Media
ISBN: 3642779271
Category : Computers
Languages : en
Pages : 763
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Book Description
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.
Author: Cornelius T. Leondes
Publisher: Elsevier
ISBN: 0080531458
Category : Computers
Languages : en
Pages : 2125
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Book Description
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. 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
Author: Stephen I. Gallant
Publisher: MIT Press
ISBN: 9780262071451
Category : Computers
Languages : en
Pages : 392
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Book Description
presents a unified and in-depth development of neural network learning algorithms and neural network expert systems
Author: Fabio Paterno
Publisher: Springer Science & Business Media
ISBN: 3642871151
Category : Computers
Languages : en
Pages : 443
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Book Description
Making systems easier to use implies increasingly complex management of communication between users and applications. An increasing part of the application program is devoted to the user interface. In order to manage this complexity, it is very important to have tools, notations, and methodologies that support the designer's work during the refinement process from specification to implementation. The purpose of this proceedings of the first (1994) Eurographics workshop on this area is to review the state of the art. It compares the different existing approaches in order to identify the principal requirements and the most suitable notations and methods, and indicates the relevant results.
Author: Adrian A. Hopgood
Publisher: CRC Press
ISBN: 1000484106
Category : Technology & Engineering
Languages : en
Pages : 515
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Book Description
The fourth edition of this bestselling textbook explains the principles of artificial intelligence (AI) and its practical applications. Using clear and concise language, it provides a solid grounding across the full spectrum of AI techniques, so that its readers can implement systems in their own domain of interest. The coverage includes knowledge-based intelligence, computational intelligence (including machine learning), and practical systems that use a combination of techniques. All the key techniques of AI are explained—including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), agents, objects, frames, symbolic learning, case-based reasoning, genetic algorithms and other optimization techniques, shallow and deep neural networks, hybrids, and the Lisp, Prolog, and Python programming languages. The book also describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control. Fully updated and revised, Intelligent Systems for Engineers and Scientists: A Practical Guide to Artificial Intelligence, Fourth Edition features: A new chapter on deep neural networks, reflecting the growth of machine learning as a key technique for AI A new section on the use of Python, which has become the de facto standard programming language for many aspects of AI The rule-based and uncertainty-based examples in the book are compatible with the Flex toolkit by Logic Programming Associates (LPA) and its Flint extension for handling uncertainty and fuzzy logic. Readers of the book can download this commercial software for use free of charge. This resource and many others are available at the author’s website: adrianhopgood.com. Whether you are building your own intelligent systems, or you simply want to know more about them, this practical AI textbook provides you with detailed and up-to-date guidance.
Author: Han Liu
Publisher: Springer
ISBN: 3319236962
Category : Technology & Engineering
Languages : en
Pages : 127
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Book Description
The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.
