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Author: Nikolas G Bourbakis
Publisher: World Scientific
ISBN: 9814505307
Category : Computers
Languages : en
Pages : 572
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Book Description
This book offers a systematic approach to knowledge engineering problems. It gives a brief overview of knowledge engineering systems and environments, covering both classical and recent techniques of the design and evaluation of them. Detailed descriptions of particular techniques and applications are also provided.
Author: Nikolas G Bourbakis
Publisher: World Scientific
ISBN: 9814505307
Category : Computers
Languages : en
Pages : 572
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Book Description
This book offers a systematic approach to knowledge engineering problems. It gives a brief overview of knowledge engineering systems and environments, covering both classical and recent techniques of the design and evaluation of them. Detailed descriptions of particular techniques and applications are also provided.
Author: Simon Kendal
Publisher: Springer Science & Business Media
ISBN: 1846286670
Category : Computers
Languages : en
Pages : 294
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Book Description
An Introduction to Knowledge Engineering presents a simple but detailed exp- ration of current and established work in the ?eld of knowledge-based systems and related technologies. Its treatment of the increasing variety of such systems is designed to provide the reader with a substantial grounding in such techno- gies as expert systems, neural networks, genetic algorithms, case-based reasoning systems, data mining, intelligent agents and the associated techniques and meth- ologies. The material is reinforced by the inclusion of numerous activities that provide opportunities for the reader to engage in their own research and re?ection as they progress through the book. In addition, self-assessment questions allow the student to check their own understanding of the concepts covered. The book will be suitable for both undergraduate and postgraduate students in computing science and related disciplines such as knowledge engineering, arti?cial intelligence, intelligent systems, cognitive neuroscience, robotics and cybernetics. vii Contents Foreword vii 1 An Introduction to Knowledge Engineering. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Section 1: Data, Information and Knowledge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Section 2: Skills of a Knowledge Engineer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Section 3: An Introduction to Knowledge-Based Systems. . . . . . . . . . . . . . . . . 18 2 Types of Knowledge-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Section 1: Expert Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Section 2: Neural Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 Section 3: Case-Based Reasoning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Section 4: Genetic Algorithms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Section 5: Intelligent Agents. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Section 6: Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 3 Knowledge Acquisition. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 4 Knowledge Representation and Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 Section 1: Using Knowledge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 Section 2: Logic, Rules and Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Section 3: Developing Rule-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 Section 4: Semantic Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Author: Ali D. Haidar
Publisher: Springer
ISBN: 3319207741
Category : Business & Economics
Languages : en
Pages : 188
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Book Description
Exploring complex and intelligent analytical and mathematical methods, this book examines how different approaches can be used to optimize program management in the construction industry. It presents an in-depth study of the different program management methods, ranging from simple decision-making techniques and statistics analysis to the more complex linear programming and demonstrates how knowledge-base systems and genetic algorithms can be used to optimize resources and meet time, budget and quality criteria. It addresses topics including decision-making principles, planning and scheduling, mathematical forecasting models, optimization techniques programming and artificial intelligence techniques. Providing a valuable resource for anyone managing multiple projects in the construction industry, this book is intended for civil and construction engineering students, project managers, construction managers and senior engineers.
Author: Ibrahim F. Imam
Publisher: Springer Science & Business Media
ISBN: 3540660763
Category : Computers
Languages : en
Pages : 918
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Book Description
This book constitutes the proceedings of the 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE'99, held in Cairo, Egypt, in May/June 1999. The 91 revised papers presented together with three invited contributions were carefully reviewed and selected from more than 140 submissions. The book offers sections on fuzzy systems, neural networks, genetic algorithms, searching, reasoning, expert systems, case-based reasoning, intelligent agents, distributed artificial intelligence, pattern recognition and vision, machine learning, temporal reasoning, knowledge representation, planning and scheduling, tutoring and manufacturing systems, and intelligent software engineering.
Author: Lawrence J. Kaetzel
Publisher:
ISBN:
Category : Expert systems (Computer science)
Languages : en
Pages : 274
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Book Description
Author: Vladan Devedžic
Publisher: Springer
ISBN: 1402081510
Category : Computers
Languages : en
Pages : 485
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Book Description
Artificial Intelligence and Innovations (AIAI) will interest researchers, IT professionals and consultants by examining technologies and applications of demonstrable value. The conference focused on profitable intelligent systems and technologies. AIAI focuses on real world applications; therefore authors should highlight the benefits of AI technology for industry and services. Novel approaches solving business and industrial problems, using AI, will emerge from this conference.
Author: Grzegorz J. Nalepa
Publisher: Springer
ISBN: 331966655X
Category : Technology & Engineering
Languages : en
Pages : 453
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Book Description
This book proposes a consistent methodology for building intelligent systems. It puts forward several formal models for designing and implementing rules-based systems, and presents illustrative case studies of their applications. These include software engineering, business process systems, Semantic Web, and context-aware systems on mobile devices. Rules offer an intuitive yet powerful method for representing human knowledge, and intelligent systems based on rules have many important applications. However, their practical development requires proper techniques and models - a gap that this book effectively addresses.
Author: Barbara Dunin-Keplicz
Publisher: Springer Science & Business Media
ISBN: 9783540232452
Category : Business & Economics
Languages : en
Pages : 612
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Book Description
In today’s society the issue of security has become a crucial one. This volume brings together contributions on the use of knowledge-based technology in security applications by the world’s leading researchers in the field.
Author: Thomas J. Bergin
Publisher: IGI Global
ISBN: 9781878289155
Category : Computers
Languages : en
Pages : 668
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Book Description
The successful implementation of CASE technology requires a long-term and comprehensive commitment to the pursuit of raising the quality of software design and ultimately improving the information management within the organization. Computer-Aided Software Engineering: Issues and Trends for the 1990s and Beyond covers all aspects of preparing an organization for the successful implementation of a CASE program. Actual case studies, empirical research and theoretical suppositions are used to assess how CASE is being used today and to predict future directions.
Author: Yee Leung
Publisher: Springer Science & Business Media
ISBN: 3642607144
Category : Business & Economics
Languages : en
Pages : 477
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Book Description
In the past half century, we have experienced two major waves of methodological development in the study of human behavior in space and time. The fIrst wave was the well known "quantitative revolution" which propelled geography from a mainly descriptive discipline to a scientifIc discipline using formalism such as probability, statistics, and a large-number of mathematical methods for analyzing spatial structures and processes under certainty and uncertainty. The second wave is the recent advancement of geographical information systems which equips geographers with automation in the storage, retrieval, analysis, and display of data. Both developments have significant impacts on geographical studies in general and solutions to real life spatio-temporal problems in particular. They have found applications in urban and regional planning, automated mapping and facilities management, transportation planning and management, as well as environmental planning and management, to name but a few examples. Both developments have one thing in common. They one way or the other use computer to process and analyze data. However, not until recently, there has been very little interaction between the two. Quantitative models have largely been developed independent of the underlying data models and structures representing the spatial phenomena or processes under study. Display of analysis results has been primitive in terms of the utilization of computer graphic technologies. Formal models, in addition to their technical difficulties, have poor capability in communication with users. Geographical information systems, on the other hand, have originally been developed with a slight intention to entertain powerful analytical models.
