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Author : Abbas Z. Kouzani
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (893 download)
Download or read book Commonsense Knowledge Representation and Reasoning with Fuzzy Neural Networks written by Abbas Z. Kouzani and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 236 pages
Book Rating : 4.:/5 (661 download)
Download or read book Artificial Intelligence Commonsense Knowledge written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-29 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Artificial Intelligence Commonsense Knowledge In the field of artificial intelligence research, "commonsense knowledge" refers to truths about the real world, such as "Lemons are sour" or "Cows say moo," that are considered to be assumed to be known by every human being. It is a challenge that has not yet been resolved in the field of Artificial General Intelligence. Advice Taker, created in 1959 by John McCarthy, was the first artificial intelligence program to address common sense information. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Commonsense knowledge (artificial intelligence) Chapter 2: Artificial intelligence Chapter 3: Knowledge representation and reasoning Chapter 4: Symbolic artificial intelligence Chapter 5: Commonsense reasoning Chapter 6: Logic in computer science Chapter 7: Computational intelligence Chapter 8: Frame (artificial intelligence) Chapter 9: Explainable artificial intelligence Chapter 10: Glossary of artificial intelligence (II) Answering the public top questions about artificial intelligence commonsense knowledge. (III) Real world examples for the usage of artificial intelligence commonsense knowledge in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial intelligence commonsense knowledge' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial intelligence commonsense knowledge.
Author : Didier Dubois
Publisher : Springer Science & Business Media
ISBN 13 : 9401716528
Total Pages : 421 pages
Book Rating : 4.4/5 (17 download)
Download or read book Fuzzy Sets, Logics and Reasoning about Knowledge written by Didier Dubois and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Sets, Logics and Reasoning about Knowledge reports recent results concerning the genuinely logical aspects of fuzzy sets in relation to algebraic considerations, knowledge representation and commonsense reasoning. It takes a state-of-the-art look at multiple-valued and fuzzy set-based logics, in an artificial intelligence perspective. The papers, all of which are written by leading contributors in their respective fields, are grouped into four sections. The first section presents a panorama of many-valued logics in connection with fuzzy sets. The second explores algebraic foundations, with an emphasis on MV algebras. The third is devoted to approximate reasoning methods and similarity-based reasoning. The fourth explores connections between fuzzy knowledge representation, especially possibilistic logic and prioritized knowledge bases. Readership: Scholars and graduate students in logic, algebra, knowledge representation, and formal aspects of artificial intelligence.
Author :
Publisher :
ISBN 13 :
Total Pages : 384 pages
Book Rating : 4.3/5 (91 download)
Download or read book ANZIIS ... written by and published by . This book was released on 1996 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ronald R. Yager
Publisher : Van Nostrand Reinhold Company
ISBN 13 :
Total Pages : 456 pages
Book Rating : 4.3/5 (91 download)
Download or read book Fuzzy Sets, Neural Networks, and Soft Computing written by Ronald R. Yager and published by Van Nostrand Reinhold Company. This book was released on 1994 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brings together chapters by experts involved in a new area based on the confluence of genetic algorithms, fuzzy systems, and neural networks. Papers cover the broad ground of fuzzy logic control, neural fuzzy systems, genetic fuzzy systems, process control, and adaptive systems. Topics include the composition of heterogeneous control laws, ellipsoidal learning and fuzzy throttle control for platoons of smart cars, supervised and unsupervised learning, and propagation and satisfaction of flexible constraints. Annotation copyright by Book News, Inc., Portland, OR
Author : George J Klir
Publisher : World Scientific
ISBN 13 : 9814499811
Total Pages : 842 pages
Book Rating : 4.8/5 (144 download)
Download or read book Fuzzy Sets, Fuzzy Logic, And Fuzzy Systems: Selected Papers By Lotfi A Zadeh written by George J Klir and published by World Scientific. This book was released on 1996-05-30 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of selected papers written by the founder of fuzzy set theory, Lotfi A Zadeh. Since Zadeh is not only the founder of this field, but has also been the principal contributor to its development over the last 30 years, the papers contain virtually all the major ideas in fuzzy set theory, fuzzy logic, and fuzzy systems in their historical context. Many of the ideas presented in the papers are still open to further development. The book is thus an important resource for anyone interested in the areas of fuzzy set theory, fuzzy logic, and fuzzy systems, as well as their applications. Moreover, the book is also intended to play a useful role in higher education, as a rich source of supplementary reading in relevant courses and seminars.The book contains a bibliography of all papers published by Zadeh in the period 1949-1995. It also contains an introduction that traces the development of Zadeh's ideas pertaining to fuzzy sets, fuzzy logic, and fuzzy systems via his papers. The ideas range from his 1965 seminal idea of the concept of a fuzzy set to ideas reflecting his current interest in computing with words — a computing in which linguistic expressions are used in place of numbers.Places in the papers, where each idea is presented can easily be found by the reader via the Subject Index.
Author : Abraham Kandel
Publisher : World Scientific
ISBN 13 : 981449657X
Total Pages : 202 pages
Book Rating : 4.8/5 (144 download)
Download or read book Compensatory Genetic Fuzzy Neural Networks And Their Applications written by Abraham Kandel and published by World Scientific. This book was released on 1998-08-22 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and related intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also proposes various novel soft computing techniques.
Author : Nikola K. Kasabov
Publisher : Marcel Alencar
ISBN 13 : 0262112124
Total Pages : 581 pages
Book Rating : 4.2/5 (621 download)
Download or read book Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering written by Nikola K. Kasabov and published by Marcel Alencar. This book was released on 1996 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Adedeji Bodunde Badiru
Publisher : John Wiley & Sons
ISBN 13 : 0471275344
Total Pages : 313 pages
Book Rating : 4.4/5 (712 download)
Download or read book Fuzzy Engineering Expert Systems with Neural Network Applications written by Adedeji Bodunde Badiru and published by John Wiley & Sons. This book was released on 2002-10-08 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an up-to-date integration of expert systems with fuzzy logic and neural networks. Includes coverage of simulation models not present in other books. Presents cases and examples taken from the authors' experience in research and applying the technology to real-world situations.
Author : Yong Liu
Publisher : Springer Nature
ISBN 13 : 3030324567
Total Pages : 1004 pages
Book Rating : 4.0/5 (33 download)
Download or read book Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery written by Yong Liu and published by Springer Nature. This book was released on 2019-11-06 with total page 1004 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.
Author : Ron Sun
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 304 pages
Book Rating : 4.3/5 (91 download)
Download or read book Integrating Rules and Connectionism for Robust Commonsense Reasoning written by Ron Sun and published by Wiley-Interscience. This book was released on 1994-02-21 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Along with this framework, the book proposes a set of interrelated new ideas regarding the modeling of commonsense reasoning which are highly relevant to current research in AI and cognitive science and the ongoing methodological debate.
Author : Okyay Kaynak
Publisher : Springer Science & Business Media
ISBN 13 : 3642589308
Total Pages : 552 pages
Book Rating : 4.6/5 (425 download)
Download or read book Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications written by Okyay Kaynak and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.
Author : Daniel S. Levine
Publisher : Psychology Press
ISBN 13 : 1134771614
Total Pages : 526 pages
Book Rating : 4.1/5 (347 download)
Download or read book Neural Networks for Knowledge Representation and Inference written by Daniel S. Levine and published by Psychology Press. This book was released on 2013-04-15 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Horst Bunke
Publisher : World Scientific
ISBN 13 : 9810244185
Total Pages : 276 pages
Book Rating : 4.8/5 (12 download)
Download or read book Neuro-fuzzy Pattern Recognition written by Horst Bunke and published by World Scientific. This book was released on 2000 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry.
Author : Qing Li
Publisher :
ISBN 13 :
Total Pages : 134 pages
Book Rating : 4.:/5 (132 download)
Download or read book Close the Loop of Neural Perception, Grammar Parsing, and Symbolic Reasoning written by Qing Li and published by . This book was released on 2022 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the recent remarkable advances in deep learning, we are still far from building machines with human-like general intelligence, for instance, understanding the world in a fast, structured, and generalizable way. The dominant stream in contemporary AI hopes to achieve human-level performance via purely data-driven methods, \ie, fitting deep neural networks on a massive amount of training data. However, these methods are often trapped in a dilemma of "big data, small tasks'', and are hard to interpret and generalize. In this dissertation, we seek a unified framework for general intelligence by integrating connectionism and symbolism in a neuro-symbolic system. We argue that (i) \textbf{Neural Network} is excellent at imitating human perception from raw signals, (ii) \textbf{Grammar} provides a universal approach to construct a holistic structured representation of the world, and (iii) \textbf{Symbolic Reasoning} forms a principled basis to incorporate commonsense knowledge and perform complex reasoning. Therefore, we propose a neural-symbolic framework by using grammar as the bridge to connect neural networks and symbolic reasoning. The learning of such a neural-symbolic framework mimics human's ability to learn from failures via abductive reasoning and requires very little supervision. We have developed benchmarks, algorithms, and practices, across vision and language, from synthetic environments to real-world scenarios, to realize such a unified framework. We hope such a unified framework can contribute to the long-term goal of building general artificial intelligence like humans
Author : Institute of Electrical and Electronics Engineers
Publisher :
ISBN 13 :
Total Pages : 1468 pages
Book Rating : 4.F/5 ( download)
Download or read book Index to IEEE Publications written by Institute of Electrical and Electronics Engineers and published by . This book was released on 1997 with total page 1468 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : S.G. Tzafestas
Publisher : Springer
ISBN 13 : 0585346526
Total Pages : 548 pages
Book Rating : 4.5/5 (853 download)
Download or read book Fuzzy Reasoning in Information, Decision and Control Systems written by S.G. Tzafestas and published by Springer. This book was released on 2007-08-28 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa tion processing systems.
