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Author: Steve Fuller
Publisher: Routledge
ISBN: 1136389822
Category : Business & Economics
Languages : en
Pages : 288
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Book Description
'Knowledge Management Foundations' is just what it claims, the first attempt to provide a secure intellectual footing for the myriad of practices called "knowledge management." A breath of fresh air from the usual KM gurus, Fuller openly admits that the advent of KM is a mixed blessing that often amounts to the conduct of traditional management by subtler means. However, Fuller's deep understanding of both the history of management theory and knowledge production more generally enables him to separate the wheat from the chaff of the KM literature. This ground-breaking book will prove of interest to both academics and practitioners of knowledge management. It highlights the ways in which KM has challenged the values associated with knowledge that academics have taken for granted for centuries. At the same time, Fuller resists the conclusion of many KM gurus, that the value of knowledge lies in whatever the market will bear in the short term. He pays special attention to how information technology has not only facilitated knowledge work but also has radically altered its nature. There are chapters devoted to the revolution in intellectual property and an evaluation of peer review as a quality control mechanism. The book culminates in a positive re-evaluation of universities as knowledge producing institutions from which the corporate sector still has much to learn.
Author: Steve Fuller
Publisher: Routledge
ISBN: 1136389822
Category : Business & Economics
Languages : en
Pages : 288
Get Book
Book Description
'Knowledge Management Foundations' is just what it claims, the first attempt to provide a secure intellectual footing for the myriad of practices called "knowledge management." A breath of fresh air from the usual KM gurus, Fuller openly admits that the advent of KM is a mixed blessing that often amounts to the conduct of traditional management by subtler means. However, Fuller's deep understanding of both the history of management theory and knowledge production more generally enables him to separate the wheat from the chaff of the KM literature. This ground-breaking book will prove of interest to both academics and practitioners of knowledge management. It highlights the ways in which KM has challenged the values associated with knowledge that academics have taken for granted for centuries. At the same time, Fuller resists the conclusion of many KM gurus, that the value of knowledge lies in whatever the market will bear in the short term. He pays special attention to how information technology has not only facilitated knowledge work but also has radically altered its nature. There are chapters devoted to the revolution in intellectual property and an evaluation of peer review as a quality control mechanism. The book culminates in a positive re-evaluation of universities as knowledge producing institutions from which the corporate sector still has much to learn.
Author: Mark Stefik
Publisher: Elsevier
ISBN: 0080509169
Category : Computers
Languages : en
Pages : 896
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Book Description
Focusing on fundamental scientific and engineering issues, this book communicates the principles of building and using knowledge systems from the conceptual standpoint as well as the practical. Previous treatments of knowledge systems have focused on applications within a particular field, or on symbol-level representations, such as the use of frame and rule representations. Introduction to Knowledge Systems presents fundamentals of symbol-level representations including representations for time, space, uncertainty, and vagueness. It also compares the knowledge-level organizations for three common knowledge-intensive tasks: classification, configuration, and diagnosis. The art of building knowledge systems incorporates computer science theory, programming practice, and psychology. The scope of this book is appropriately broad, ranging from the design of hierarchical search algorithms to techniques for acquiring the task-specific knowledge needed for successful applications. Each chapter proceeds from concepts to applications, and closes with a brief tour of current research topics and open issues. Readers will come away with a solid foundation that will enable them to create real-world knowledge systems using whatever tools and programming languages are most current and appropriate.
Author: Gerd Wagner
Publisher: Springer Science & Business Media
ISBN: 1461557232
Category : Computers
Languages : en
Pages : 310
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Book Description
One of the main uses of computer systems is the management of large amounts of symbolic information representing the state of some application domain, such as information about all the people I communicate with in my personal address database, or relevant parts of the outer space in the knowledge base of a NASA space mission. While database management systems offer only the basic services of information storage and retrieval, more powerful knowledge systems offer, in addition, a number of advanced services such as deductive and abductive reasoning for the purpose of finding explanations and diagnoses, or generating plans. In order to design and understand database and knowledge-based applications it is important to build upon well-established conceptual and mathematical foundations. What are the principles behind database and knowledge systems? What are their major components? Which are the important cases of knowledge systems? What are their limitations? Addressing these questions, and discussing the fundamental issues of information update, knowledge assimilation, integrity maintenance, and inference-based query answering, is the purpose of this book. Foundations of Databases and Knowledge Systems covers both basic and advanced topics. It may be used as the textbook of a course offering a broad introduction to databases and knowledge bases, or it may be used as an additional textbook in a course on databases or Artificial Intelligence. Professionals and researchers interested in learning about new developments will benefit from the encyclopedic character of the book, which provides organized access to many advanced concepts in the theory of databases and knowledge bases.
Author: I. S. Torsun
Publisher: Elsevier
ISBN: 9780126960600
Category : Computers
Languages : en
Pages : 507
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Book Description
The construction of intelligent machines is the primary goal of research in artificial intelligence and knowledge-based systems. This book is designed to introduce the foundations of mathematical and philosophical approaches to this rapidly expanding research area. Foundations of Intelligent Knowledge-Based Systems is divided into three parts. Part I uses logic as a guideline and addresses fundamental theoretical and practical issues in developing large scale intelligent knowledge-based systems (IKBS). PartII discusses modal and intentional logic, nonmonotonic logic, induction and reasoning under uncertainty, and also covers advanced concepts such as planning, actions, states, and temporal systems. Part III looks at the architecture and design principles ofIKBSs using a case study, thus illuminating many of the principles and concepts developed in Parts I and II. This text presents a unified and rigorous study of IKBS theory and application. It is essential reading for advanced undergraduates, graduates, and developers in knowledge-based systems, artificial intelligence, and expert systems. Key Features * Presents a unified and rigorous study of intelligent knowledge-based systems theory and application * Comprehensively addresses computational logic methods and techniques applied to knowledge based systems * Covers the whole field from the most theoretical aspects of logic to the most practical aspects of a case study * Provides exercises at the end of each chapter
Author: Raymond Reiter
Publisher: MIT Press
ISBN: 9780262264310
Category : Computers
Languages : en
Pages : 462
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Book Description
Specifying and implementing dynamical systems with the situation calculus. Modeling and implementing dynamical systems is a central problem in artificial intelligence, robotics, software agents, simulation, decision and control theory, and many other disciplines. In recent years, a new approach to representing such systems, grounded in mathematical logic, has been developed within the AI knowledge-representation community. This book presents a comprehensive treatment of these ideas, basing its theoretical and implementation foundations on the situation calculus, a dialect of first-order logic. Within this framework, it develops many features of dynamical systems modeling, including time, processes, concurrency, exogenous events, reactivity, sensing and knowledge, probabilistic uncertainty, and decision theory. It also describes and implements a new family of high-level programming languages suitable for writing control programs for dynamical systems. Finally, it includes situation calculus specifications for a wide range of examples drawn from cognitive robotics, planning, simulation, databases, and decision theory, together with all the implementation code for these examples. This code is available on the book's Web site.
Author: Nikola K. Kasabov
Publisher: Marcel Alencar
ISBN: 0262112124
Category : Artificial intelligence
Languages : en
Pages : 581
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Book Description
Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.
Author:
Publisher:
ISBN:
Category : Computer science
Languages : en
Pages : 186
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Book Description
Author: Robert H. Bonczek
Publisher: Academic Press
ISBN: 1483268721
Category : Business & Economics
Languages : en
Pages : 412
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Book Description
Foundations of Decision Support Systems focuses on the frameworks, strategies, and techniques involved in decision support systems (DSS). The publication first takes a look at information processing, decision making, and decision support; frameworks for organizational information processing and decision making; and representative decision support systems. Discussions focus on classification scheme for DSS, abilities required for decision making, division of information-processing labor within an organization, and decision support. The text then elaborates on ideas in decision support, formalizations of purposive systems, and conceptual and operational constructs for building a data base knowledge system. The book takes a look at building a data base knowledge system, language systems for data base knowledge systems, and problem-processing systems for data base knowledge systems. Topics include problem processors for computationally oriented DSS, major varieties of logical data structures, and indirect associations among concepts. The manuscript also examines operationalizing modeling knowledge in terms of predicate calculus; combining the data base and formal logic approaches; and the language and knowledge systems of a DSS based on formal logic. The publication is a valuable reference for researchers interested in decision support systems.
Author: Sven Hartmann
Publisher: Springer
ISBN: 3540776842
Category : Computers
Languages : en
Pages : 400
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Book Description
An ideal text for researchers and professionals alike, this book constitutes the refereed proceedings of the 5th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2008 held in Pisa, Italy, in February 2008. The 13 revised full papers are presented together with nine revised short papers and three invited lectures. All of these were carefully selected during two rounds of reviewing and improvement from a total of 79 submissions.
Author: Thomas Eiter
Publisher: Springer
ISBN: 3540457585
Category : Computers
Languages : en
Pages : 294
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Book Description
This volume contains the papers presented at the “Second International S- posium on Foundations of Information and Knowledge Systems” (FoIKS 2002), which was held in Schloß Salzau, Germany from February 20th to 23rd, 2002. FoIKS is a biennial event focusing on theoretical foundations of information and knowledge systems. It aims to bring together researchers working on the theoretical foundations of information and knowledge systems and to attract researchers working in mathematical ?elds such as discrete mathematics, c- binatorics, logics, and ?nite model theory who are interested in applying their theories to research on database and knowledge base theory. FoIKS took up the tradition of the conference series “Mathematical Fundamentals of Database S- tems” (MFDBS) which enabled East-West collaboration in the ?eld of database theory. The ?rst FoIKS symposium was held in Burg, Spreewald (Germany) in 2000. Former MFDBS conferences were held in Dresden (Germany) in 1987, Visegr ́ ad (Hungary) in 1989, and in Rostock (Germany) in 1991. Proceedings of these previous events were published by Springer-Verlag as volumes 305, 364, 495, and 1762 of the LNCS series. In addition the FoIKS symposium is intended to be a forum for intensive d- cussions. For this reason the time slot of long and short contributions is 60 and 30 minutes respectively, followed by 30 and 15 minutes for discussions, respectively. Furthermore, participants are asked in advance to prepare as correspondents to a contribution of another author. There are also special sessions for the pres- tation and discussion of open research problems.
