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Author: Cornelius T. Leondes
Publisher: Elsevier
ISBN: 0080535283
Category : Computers
Languages : en
Pages : 1554
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Book Description
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.
Author: Cornelius T. Leondes
Publisher: Elsevier
ISBN: 0080535283
Category : Computers
Languages : en
Pages : 1554
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Book Description
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.
Author: Rajendra Akerkar
Publisher: Jones & Bartlett Learning
ISBN: 0763776475
Category : Computers
Languages : en
Pages : 375
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Book Description
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: Philip Judson
Publisher: Royal Society of Chemistry
ISBN: 0854041605
Category : Computers
Languages : en
Pages : 223
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Book Description
This book is about the development of knowledge-based, and related, expert systems in chemistry and toxicology. It shows how computers can work with qualitative information where precise numerical methods are not satisfactory.
Author: Cornelius T. Leondes
Publisher: Springer Science & Business Media
ISBN: 1402078293
Category : Computers
Languages : en
Pages : 2041
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Book Description
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: Douglas B. Lenat
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 408
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Book Description
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: Alexander Felfernig
Publisher: Newnes
ISBN: 0124158692
Category : Computers
Languages : en
Pages : 383
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Book Description
Knowledge-based Configuration incorporates knowledge representation formalisms to capture complex product models and reasoning methods to provide intelligent interactive behavior with the user. This book represents the first time that corporate and academic worlds collaborate integrating research and commercial benefits of knowledge-based configuration. Foundational interdisciplinary material is provided for composing models from increasingly complex products and services. Case studies, the latest research, and graphical knowledge representations that increase understanding of knowledge-based configuration provide a toolkit to continue to push the boundaries of what configurators can do and how they enable companies and customers to thrive. - Includes detailed discussion of state-of-the art configuration knowledge engineering approaches such as automated testing and debugging, redundancy detection, and conflict management - Provides an overview of the application of knowledge-based configuration technologies in the form of real-world case studies from SAP, Siemens, Kapsch, and more - Explores the commercial benefits of knowledge-based configuration technologies to business sectors from services to industrial equipment - Uses concepts that are based on an example personal computer configuration knowledge base that is represented in an UML-based graphical language
Author: Frank van Harmelen
Publisher: Elsevier
ISBN: 0080557023
Category : Computers
Languages : en
Pages : 1035
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Book Description
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conceptual graphs; nonmonotonic reasoning; model-based problem solving; and Bayesian networks. Part II focuses on classes of knowledge and specialized representations, with chapters on temporal representation and reasoning; spatial and physical reasoning; reasoning about knowledge and belief; temporal action logics; and nonmonotonic causal logic. Part III discusses Knowledge Representation in applications such as question answering; the semantic web; automated planning; cognitive robotics; multi-agent systems; and knowledge engineering. This book is an essential resource for graduate students, researchers, and practitioners in knowledge representation and AI. * Make your computer smarter* Handle qualitative and uncertain information* Improve computational tractability to solve your problems easily
Author: Carlos Zozaya-Gorostiza
Publisher: Elsevier
ISBN: 0323156088
Category : Business & Economics
Languages : en
Pages : 320
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Book Description
Knowledge-Based Process Planning for Construction and Manufacturing describes a knowledge-based system architecture that is used to develop process planning systems called PLANEX. This book explains that PLANEX is a domain-independent, knowledge-based process planning system architecture. Starting from a description of the physical artifact to be constructed or manufactured, PLANEX generates the set of activities used to create the artifact. These activities, with their required resources, are linked into a process planning network which can be used in project scheduling or management. This text also reviews the concepts, requirements, and resulting architecture of PLANEX, including detailed descriptions of applications of the system in construction and manufacturing. This publication is recommended to engineers, architects, and specialists interested in construction and manufacturing process planning.
Author: John V. Richardson
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 392
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Book Description
By focusing on knowledge-based systems technology, the primary purpose and goal of this book is to improve the quality of reference service rendered in libraries. Within reference service, this book examines question-answering, a complex and difficult task. For those interested in the theoretical aspects of reference work, they have to look no further than the first chapter. In addition, the book features theoretical chapters on modelling the reference transaction, a chapter on the logic of ready reference work, and a chapter on the appropriate criteria to apply in selecting an expert system shell. Several practical chapters focus on what KBS work has already been done in the field and evaluate nearly fifty expert system development shells, so that readers can select the most appropriate shell for their domain. The subtitle of the book is applications, problems, and progress in regard to expert systems in reference work. Applications are covered most clearly in chapter 8 which reviews the more than extant prototypes. Chapter 3 covers what is feasible, chapter 4 models the reference transaction, and chapter 7 covers interface issues so that future applications can be more successful. Problems are covered throughout the book, starting with chapter 1 which discusses the traditional emphasis on reference sources. It argues that the field needs to shift toward procedural knowledge related to work in reference departments. The chapter on expert system feasibility reveals that there are alternative ways of conceptualizing the intellectual work of an expert, and, of course, chapter 9 directly points out limitations in extant systems. Encouraging words occur in chapter 1 about the shift to a balanced or complete paradigm for doing reference work. Similarly, the chapter on modelling is optimistic, in that reference work can be modelled and systems implemented which act like human experts. The final chapter tries to avoid the technological optimism inherent in many books on expert systems by identifying the near-term factors which will influence the development of expert systems. Key Features * Historical background presenting the field's paradigmatic thinking * Decision trees for basic formats of reference material * Flowchart modelling the reference transaction * Reviews of more than fifty extant KBS in general reference environments * Evaluative criteria on more than forty expert system shells
Author: Philip Judson
Publisher: Royal Society of Chemistry
ISBN: 1788017420
Category : Science
Languages : en
Pages : 298
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Book Description
There have been significant developments in the use of knowledge-based expert systems in chemistry since the first edition of this book was published in 2009. This new edition has been thoroughly revised and updated to reflect the advances. The underlying theme of the book is still the need for computer systems that work with uncertain or qualitative data to support decision-making based on reasoned judgements. With the continuing evolution of regulations for the assessment of chemical hazards, and changes in thinking about how scientific decisions should be made, that need is ever greater. Knowledge-based expert systems are well established in chemistry, especially in relation to toxicology, and they are used routinely to support regulatory submissions. The effectiveness and continued acceptance of computer prediction depends on our ability to assess the trustworthiness of predictions and the validity of the models on which they are based. Written by a pioneer in the field, this book provides an essential reference for anyone interested in the uses of artificial intelligence for decision making in chemistry.
