Knowledge Representation And Relation Nets

Author : Aletta E. Geldenhuys,Hendrik O. van Rooyen,Franz Stetter
Publisher : Springer Science & Business Media
Page : 279 pages
File Size : 44,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461540540

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Knowledge Representation and Relation Nets by Aletta E. Geldenhuys,Hendrik O. van Rooyen,Franz Stetter Pdf

Knowledge Representation and Relation Nets introduces a fresh approach to knowledge representation that can be used to organize study material in a convenient, teachable and learnable form. The method extends and formalizes concept mapping by developing knowledge representation as a structure of concepts and the relationships among them. Such a formal description of analogy results in a controlled method of modeling `new' knowledge in terms of `existing' knowledge in teaching and learning situations, and its applications result in a consistent and well-organized approach to problem solving. Additionally, strategies for the presentation of study material to learners arise naturally in this representation. While the theory of relation nets is dealt with in detail in part of this book, the reader need not master the formal mathematics in order to apply the theory to this method of knowledge representation. To assist the reader, each chapter starts with a brief summary, and the main ideas are illustrated by examples. The reader is also given an intuitive view of the formal notions used in the applications by means of diagrams, informal descriptions, and simple sets of construction rules. Knowledge Representation and Relation Nets is an excellent source for teachers, courseware designers and researchers in knowledge representation, cognitive science, theories of learning, the psychology of education, and structural modeling.

Author : Hua Shi,Hu-Chen Liu
Publisher : Springer Nature
Page : 476 pages
File Size : 40,8 Mb
Release : 2023-10-23
Category : Technology & Engineering
ISBN : 9789819951543

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Fuzzy Petri Nets for Knowledge Representation, Acquisition and Reasoning by Hua Shi,Hu-Chen Liu Pdf

This book provides valuable knowledge, useful fuzzy Petri nets (FPN) models, and practical examples that can be considered by mangers in supporting knowledge management of organizations to increase and sustain their competitive advantages. In this book, the authors proposed various improved FPN models to enhance the modeling power and applicability of FPNs in knowledge representation and reasoning. This book is useful for practitioners and researchers working in the fields of knowledge management, operation management, information science, industrial engineering, and management science. It can also be used as a textbook for postgraduate and senior undergraduate students.

Author : Madalina Croitoru,Sebastian Rudolph,Stefan Woltran,Christophe Gonzales
Publisher : Springer
Page : 220 pages
File Size : 52,7 Mb
Release : 2014-01-21
Category : Computers
ISBN : 9783319045344

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Graph Structures for Knowledge Representation and Reasoning by Madalina Croitoru,Sebastian Rudolph,Stefan Woltran,Christophe Gonzales Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2013, held in Beijing, China, in August 2013, associated with IJCAI 2013, the 23rd International Joint Conference on Artificial Intelligence. The 12 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques. They address the following topics: representations of constraint satisfaction problems; formal concept analysis; conceptual graphs; and argumentation frameworks.

Author : I. Gupta,G. Nagpal
Publisher : Mercury Learning and Information
Page : 443 pages
File Size : 43,6 Mb
Release : 2020-04-06
Category : Computers
ISBN : 9781683925064

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Artificial Intelligence and Expert Systems by I. Gupta,G. Nagpal Pdf

This book is designed to identify some of the current applications and techniques of artificial intelligence as an aid to solving problems and accomplishing tasks. It provides a general introduction to the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc. The book has been structured into five parts with an emphasis on expert systems: problems and state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog. Features: Introduces the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc. Includes a separate chapter on Prolog to introduce basic programming techniques in AI

Author : T.J.M. Bench-Capon
Publisher : Elsevier
Page : 236 pages
File Size : 45,9 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9781483297101

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Knowledge Representation by T.J.M. Bench-Capon Pdf

Although many texts exist offering an introduction to artificial intelligence (AI), this book is unique in that it places an emphasis on knowledge representation (KR) concepts. It includes small-scale implementations in PROLOG to illustrate the major KR paradigms and their developments.****back cover copy:**Knowledge representation is at the heart of the artificial intelligence enterprise: anyone writing a program which seeks to work by encoding and manipulating knowledge needs to pay attention to the scheme whereby he will represent the knowledge, and to be aware of the consequences of the choices made.****The book's distinctive approach introduces the topic of AI through a study of knowledge representation issues. It assumes a basic knowledge of computing and a familiarity with the principles of elementary formal logic would be advantageous.****Knowledge Representation: An Approach to Artificial Intelligence develops from an introductory consideration of AI, knowledge representation and logic, through search technique to the three central knowledge paradigms: production rules, structured objects, and predicate calculus. The final section of the book illustrates the application of these knowledge representation paradigms through the Prolog Programming language and with an examination of diverse expert systems applications. The book concludes with a look at some advanced issues in knowledge representation.****This text provides an introduction to AI through a study of knowledge representation and each chapter contains exercises for students. Experienced computer scientists and students alike, seeking an introduction to AI and knowledge representations will find this an invaluable text.

Author : Ronald J. Brachman,Hector J. Levesque,Ray Reiter
Publisher : Morgan Kaufmann Publishers
Page : 542 pages
File Size : 46,6 Mb
Release : 1989
Category : Computers
ISBN : UOM:39015015494266

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Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning by Ronald J. Brachman,Hector J. Levesque,Ray Reiter Pdf

Proceedings held May 1989. Topics include temporal logic, hierarchical knowledge bases, default theories, nonmonotonic and analogical reasoning, formal theories of belief revision, and metareasoning. Annotation copyright Book News, Inc. Portland, Or.

Author : Henry E. Kyburg Jr.,R.P. Loui,G.N. Carlson
Publisher : Springer Science & Business Media
Page : 432 pages
File Size : 43,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9789400905535

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Knowledge Representation and Defeasible Reasoning by Henry E. Kyburg Jr.,R.P. Loui,G.N. Carlson Pdf

This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) ani mal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psy chology through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelli gence and computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also ap pear from time to time. The present volume provides a collection of studies that focus on some of the central problems within the domain of artificial intelligence. These difficulties fall into four principal areas: defeasible reasoning (including the frame problem as apart), ordinary language (and the representation prob lems that it generates), the revision of beliefs (and its rules of inference), and knowledge representation (and the logical problems that are encountered there). These papers make original contributions to each of these areas of inquiry and should be of special interest to those who understand the crucial role that is played by questions of logical form. They vividly illustrate the benefits that can emerge from collaborative efforts involving scholars from linguistics, philosophy, computer science, and AI. J. H. F.

Author : Pierre-Jean Charrel,H. Jaakkola,H. Kangassalo
Publisher : IOS Press
Page : 360 pages
File Size : 47,5 Mb
Release : 1998
Category : Computers
ISBN : 905199396X

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Information Modelling and Knowledge Bases IX by Pierre-Jean Charrel,H. Jaakkola,H. Kangassalo Pdf

Information modelling is the essential part of information system design. Design methods, specification languages, and tools tend to become application dependent, aiming at integration of methodologies stretching traditional database design to advanced knowledge bases, and including use of logical languages, and process oriented system description. The topics of the articles in this book cover a wide variety of themes in the domain of information modelling, specifications of information systems and knowledge bases, ranging from foundations and theories to systems construction and application studies. The contributions represent the following major themes: the use of ontologies in knowledge modelling concept modelling and conceptual modelling database modelling: applications of object-oriented modelling view integration and consistency checking modelling multimedia and multimedia models design methods process modelling formal systems.

Author : Daniel S. Levine,Manuel Aparicio IV
Publisher : Psychology Press
Page : 526 pages
File Size : 50,9 Mb
Release : 2013-04-15
Category : Psychology
ISBN : 9781134771615

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Neural Networks for Knowledge Representation and Inference by Daniel S. Levine,Manuel Aparicio IV Pdf

The second published collection based on a conference sponsored by the Metroplex Institute for Neural Dynamics -- the first is Motivation, Emotion, and Goal Direction in Neural Networks (LEA, 1992) -- this book addresses the controversy between symbolicist artificial intelligence and neural network theory. A particular issue is how well neural networks -- well established for statistical pattern matching -- can perform the higher cognitive functions that are more often associated with symbolic approaches. This controversy has a long history, but recently erupted with arguments against the abilities of renewed neural network developments. More broadly than other attempts, the diverse contributions presented here not only address the theory and implementation of artificial neural networks for higher cognitive functions, but also critique the history of assumed epistemologies -- both neural networks and AI -- and include several neurobiological studies of human cognition as a real system to guide the further development of artificial ones. Organized into four major sections, this volume: * outlines the history of the AI/neural network controversy, the strengths and weaknesses of both approaches, and shows the various capabilities such as generalization and discreetness as being along a broad but common continuum; * introduces several explicit, theoretical structures demonstrating the functional equivalences of neurocomputing with the staple objects of computer science and AI, such as sets and graphs; * shows variants on these types of networks that are applied in a variety of spheres, including reasoning from a geographic database, legal decision making, story comprehension, and performing arithmetic operations; * discusses knowledge representation process in living organisms, including evidence from experimental psychology, behavioral neurobiology, and electroencephalographic responses to sensory stimuli.

Author : Keśavacandra Dāśa
Publisher : Unknown
Page : 204 pages
File Size : 49,8 Mb
Release : 1991
Category : Philosophy
ISBN : UOM:39015028450669

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Relations in Knowledge Representation by Keśavacandra Dāśa Pdf

Author : Erich Schweighofer
Publisher : Kluwer Law International B.V.
Page : 448 pages
File Size : 51,8 Mb
Release : 1999-10-19
Category : Law
ISBN : 9789041111487

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Legal Knowledge Representation:Automatic Text Analysis in Public International and European Law by Erich Schweighofer Pdf

This volume is a presentation of all methods of legal knowledge representation from the point of view of jurisprudence as well as computer science. A new method of automatic analysis of legal texts is presented in four case studies. Law is seen as an information system with legally formalised information processes. The achieved coverage of legal knowledge in information retrieval systems has to be followed by the next step: conceptual indexing and automatic analysis of texts. Existing approaches of automatic knowledge representations do not have a proper link to the legal language in information systems. The concept-based model for semi-automatic analysis of legal texts provides this necessary connection. The knowledge base of descriptors, context-sensitive rules and meta-rules formalises properly all important passages in the text corpora for automatic analysis. Statistics and self-organising maps give assistance in knowledge acquisition. The result of the analysis is organised with automatically generated hypertext links. Four case studies show the huge potential but also some drawbacks of this approach.

Author : K-S Xu
Publisher : World Scientific
Page : 224 pages
File Size : 40,5 Mb
Release : 1991-03-30
Category : Computer science
ISBN : 9789814507035

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Advances in Chinese Computer Science by K-S Xu Pdf

Contents:The Axiom System ACG and the Proof of Consistency of the Systems QM and ZF# (J W Zhang)Log C: A Language and Environment for AI Programming (Y L Feng)From “What” to “How” (J F Xu et al.)Weak Mutation Method of Software Testing and Relational Test Data (R J Zheng & F Jiang)Can Logic Programming Be Liberated from FOL? Foundations of a High Order Rule Language (Q M Chen)The Experiment on 2-D EAG Method for the Recognitions of Hand-Printed Chinese Characters (M Zhao)A Set of Parallel Algorithms for Calculating FFT Based on Multiple Vector Systems (D F Zhang & L Sheng)Knowledge Representation by Petri Nets (C Lin & W M Lu)Limited Error-Propagation, Self-Synchronization and Finite Input Memory FSMs as Weak Inverses (F Bao)The Knowledge Processing of CONBES (R Q Lu & C G Cao)CS: The Communication Sub-System of C-Porel (J L Xu & L X Zhou)Study on the Efficiency Improvement of Knowledge Base Management Systems (L Z Zhou & Z P Fan) Readership: Computer scientists.

Author : Katharina Morik
Publisher : Unknown
Page : 344 pages
File Size : 42,8 Mb
Release : 1989
Category : Expert systems (Computer science)
ISBN : UOM:39015012052752

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Knowledge Representation and Organization in Machine Learning by Katharina Morik Pdf

Machine learning has become a rapidly growing field of Artificial Intelligence. Since the First International Workshop on Machine Learning in 1980, the number of scientists working in the field has been increasing steadily. This situation allows for specialization within the field. There are two types of specialization: on subfields or, orthogonal to them, on special subjects of interest. This book follows the thematic orientation. It contains research papers, each of which throws light upon the relation between knowledge representation, knowledge acquisition and machine learning from a different angle. Building up appropriate representations is considered to be the main concern of knowledge acquisition for knowledge-based systems throughout the book. Here machine learning is presented as a tool for building up such representations. But machine learning itself also states new representational problems. This book gives an easy-to-understand insight into a new field with its problems and the solutions it offers. Thus it will be of good use to both experts and newcomers to the subject.

Author : Rajiv Chopra
Publisher : S. Chand Publishing
Page : 318 pages
File Size : 52,6 Mb
Release : 2012
Category : Computers
ISBN : 9788121939485

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Artificial Intelligence by Rajiv Chopra Pdf

For the students of B.E./B.Tech Computer Science Engineering and Information Technology (CSE/IT)

Author : Juan Ramon Rabunal,Julian Dorado,Alejandro Pazos Sierra
Publisher : IGI Global
Page : 1640 pages
File Size : 44,7 Mb
Release : 2009-01-01
Category : Computers
ISBN : 9781599048505

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Encyclopedia of Artificial Intelligence by Juan Ramon Rabunal,Julian Dorado,Alejandro Pazos Sierra Pdf

"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.