Conceptual Graphs And Fuzzy Logic

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Conceptual Graphs And Fuzzy Logic
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Author : Tru Hoang Cao
language : en
Publisher: Springer
Release Date : 2010-07-17
Conceptual Graphs And Fuzzy Logic written by Tru Hoang Cao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-17 with Computers categories.
In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computation of fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantified statements, approximate knowledge retrieval, and natural language query understanding.
The State Of The Art In Computational Intelligence
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Author : Peter Sincak
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-14
The State Of The Art In Computational Intelligence written by Peter Sincak and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-14 with Computers categories.
Computational Intelligence is a very dynamic domain of modern information society which integrates fields such as neural networks, fuzzy systems, evolutionary computation and intelligent systems in general. The book presents papers from the Euro-International Symposium on Computational Intelligence held in Kosice (Slovak Republic) in August 2000. It contains theoretical studies along with a chapter on applications and case studies. One of the main results of the symposium is that the combination of various techniques into hybrid intelligent systems will be very important for the development of intelligent information systems in the 21st century. The book also contains interesting forewords written by L.A. Zadeh, D.E. Goldberg, and K. Fukushima.
Conceptual Graphs For Knowledge Representation
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Author : Guy W. Mineau
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-07-14
Conceptual Graphs For Knowledge Representation written by Guy W. Mineau and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-07-14 with Computers categories.
Artificial Intelligence and cognitive science are the two fields devoted to the study and development of knowledge-based systems (KBS). Over the past 25years, researchers have proposed several approaches for modeling knowledge in KBS, including several kinds of formalism such as semantic networks, frames, and logics. In the early 1980s, J.F. Sowa introduced the conceptual graph (CG) theory which provides a knowledge representation framework consisting of a form of logic with a graph notationand integrating several features from semantic net and frame representations. Since that time, several research teams over the world have been working on the application and extension of CG theory in various domains ranging from natural language processing to database modeling and machine learning. This volume contains selected papers fromthe international conference on Conceptual Structures held in the city of Quebec, Canada, August 4-7, 1993. The volume opens with invited papers by J.F. Sowa, B.R. Gaines, and J. Barwise.
Conceptual Structures Logical Linguistic And Computational Issues
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Author : Bernhard Ganter
language : en
Publisher: Springer
Release Date : 2006-12-30
Conceptual Structures Logical Linguistic And Computational Issues written by Bernhard Ganter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-30 with Computers categories.
Computerscientistscreatemodelsofaperceivedreality.ThroughAItechniques, these models aim at providing the basic support for emulating cognitive - havior such as reasoning and learning, which is one of the main goals of the AI research e?ort. Such computer models are formed through the interaction of various acquisition and inference mechanisms: perception, concept learning, conceptual clustering, hypothesis testing, probabilistic inference, etc., and are represented using di?erent paradigms tightly linked to the processes that use them. Among these paradigms let us cite: biological models (neural nets, genetic programming), logic-based models (?rst-order logic, modal logic, rule-based s- tems), virtual reality models (object systems, agent systems), probabilistic m- els(Bayesiannets,fuzzylogic),linguisticmodels(conceptualdependencygraphs, language-based representations), etc. OneofthestrengthsoftheConceptualGraph(CG)theoryisitsversatilityin terms of the representation paradigms under which it falls. It can be viewed and therefore used, under di?erent representation paradigms, which makes it a p- ular choice for a wealth of applications. Its full coupling with di?erent cognitive processes lead to the opening of the ?eld toward related research communities such as the Description Logic, Formal Concept Analysis, and Computational Linguistic communities. We now see more and more research results from one community enrich the other, laying the foundations of common philosophical grounds from which a successful synergy can emerge.
Advances In Semantic Media Adaptation And Personalization Volume 2
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Author : Marios C. Angelides
language : en
Publisher: CRC Press
Release Date : 2009-03-17
Advances In Semantic Media Adaptation And Personalization Volume 2 written by Marios C. Angelides and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-17 with Computers categories.
The emergence of content- and context-aware search engines, which not only personalize searching and delivery but also the content, has caused the emergence of new infrastructures capable of end-to-end ubiquitous transmission of personalized multimedia content to any device on any network at any time. Personalizing and adapting content requires pro
Modelling With Words
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Author : Jonathan Lawry
language : en
Publisher: Springer
Release Date : 2003-10-28
Modelling With Words written by Jonathan Lawry and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-28 with Computers categories.
Modelling with Words is an emerging modelling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh. This book is an authoritative collection of key contributions to the new concept of Modelling with Words. A wide range of issues in systems modelling and analysis is presented, extending from conceptual graphs and fuzzy quantifiers to humanist computing and self-organizing maps. Among the core issues investigated are - balancing predictive accuracy and high level transparency in learning - scaling linguistic algorithms to high-dimensional data problems - integrating linguistic expert knowledge with knowledge derived from data - identifying sound and useful inference rules - integrating fuzzy and probabilistic uncertainty in data modelling
Applied Artificial Intelligence
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Author : Da Ruan
language : en
Publisher: World Scientific
Release Date : 2006
Applied Artificial Intelligence written by Da Ruan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Applied Artificial Intelligence for Applied Research. The contributions to the seventh in the series of FLINS conferences contained in this volume cover state-of-the-art research and development in applied artificial intelligence for applied research in general and for power/nuclear engineering in particular.
Information Retrieval Uncertainty And Logics
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Author : Cornelis Joost van Rijsbergen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Information Retrieval Uncertainty And Logics written by Cornelis Joost van Rijsbergen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
In recent years, there have been several attempts to define a logic for information retrieval (IR). The aim was to provide a rich and uniform representation of information and its semantics with the goal of improving retrieval effectiveness. The basis of a logical model for IR is the assumption that queries and documents can be represented effectively by logical formulae. To retrieve a document, an IR system has to infer the formula representing the query from the formula representing the document. This logical interpretation of query and document emphasizes that relevance in IR is an inference process. The use of logic to build IR models enables one to obtain models that are more general than earlier well-known IR models. Indeed, some logical models are able to represent within a uniform framework various features of IR systems such as hypermedia links, multimedia data, and user's knowledge. Logic also provides a common approach to the integration of IR systems with logical database systems. Finally, logic makes it possible to reason about an IR model and its properties. This latter possibility is becoming increasingly more important since conventional evaluation methods, although good indicators of the effectiveness of IR systems, often give results which cannot be predicted, or for that matter satisfactorily explained. However, logic by itself cannot fully model IR. The success or the failure of the inference of the query formula from the document formula is not enough to model relevance in IR. It is necessary to take into account the uncertainty inherent in such an inference process. In 1986, Van Rijsbergen proposed the uncertainty logical principle to model relevance as an uncertain inference process. When proposing the principle, Van Rijsbergen was not specific about which logic and which uncertainty theory to use. As a consequence, various logics and uncertainty theories have been proposed and investigated. The choice of an appropriate logic and uncertainty mechanism has been a main research theme in logical IR modeling leading to a number of logical IR models over the years. Information Retrieval: Uncertainty and Logics contains a collection of exciting papers proposing, developing and implementing logical IR models. This book is appropriate for use as a text for a graduate-level course on Information Retrieval or Database Systems, and as a reference for researchers and practitioners in industry.
Conceptual Structures Theory Tools And Applications
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Author : Marie-Laure Mugnier
language : en
Publisher: Springer Science & Business Media
Release Date : 1998-07-22
Conceptual Structures Theory Tools And Applications written by Marie-Laure Mugnier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-07-22 with Computers categories.
This book constitutes the refereed proceedings of the 6th International Conference on Conceptual Structures, ICCS'98, held in Montpellier, France, in August 1998. The 20 revised full papers and 10 research reports presented were carefully selected from a total of 66 submissions; also included are three invited contributions. The volume is divided in topical sections on knowledge representation and knowledge engineering, tools, conceptual graphs and other models, relationships with logics, algorithms and complexity, natural language processing, and applications.
Ignou Artificial Intelligence Previous 10 Years Solved Papers
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Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-30
Ignou Artificial Intelligence Previous 10 Years Solved Papers written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-30 with Study Aids categories.
Welcome to the world of comprehensive learning and academic excellence with "10 Years Solved IGNOU Papers: Artificial Intelligence." As we stand at the forefront of a technological revolution, the field of Artificial Intelligence (AI) has emerged as a driving force, transforming the way we live, work, and perceive the world around us. The Indira Gandhi National Open University (IGNOU) has been at the forefront of providing quality education, and this compilation of solved papers aims to facilitate your journey through the AI program. Over the past decade, AI has witnessed unprecedented growth, becoming an integral part of various industries, from healthcare to finance, and from education to entertainment. Keeping pace with this dynamic field requires a strong foundation, and IGNOU's AI program is designed to provide just that. This book, featuring solved papers from the last 10 years, serves as an invaluable resource for students, offering a comprehensive overview of the examination patterns, question types, and the depth of knowledge required to excel in AI studies. The selection of solved papers in this book is meticulous, covering a wide range of topics such as machine learning, natural language processing, robotics, and neural networks. Each solution is presented in a clear and concise manner, offering not only the correct answers but also detailed explanations to enhance your understanding of the underlying concepts. We believe that learning from past examinations is a powerful tool for success, and this book is crafted with the intention of providing you with the necessary insights to tackle future challenges in the AI domain. As you embark on this academic journey, it is essential to acknowledge the dedication and hard work put in by the faculty, authors, and experts in compiling this collection. Their commitment to academic excellence is reflected in the quality of solutions provided, ensuring that you receive the best possible guidance for your AI studies. Approach each solved paper with curiosity and diligence, treating it not only as a test of your current understanding but also as an opportunity for growth and improvement. In conclusion, "10 Years Solved IGNOU Papers: