Design Of Logic Based Intelligent Systems

Author : Klaus Truemper
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 54,8 Mb
Release : 2004-05-20
Category : Technology & Engineering
ISBN : 0471484032

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Design of Logic-based Intelligent Systems by Klaus Truemper Pdf

Principles for constructing intelligent systems Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done by humans but are difficult for machines. Current Artificial Intelligence (AI) approaches rely on various constructs and methods (production rules, neural nets, support vector machines, fuzzy logic, Bayesian networks, etc.). In contrast, this book uses an extension of propositional logic that treats all aspects of intelligent systems in a unified and mathematically compatible manner. Topics include: * Levels of thinking and logic * Special cases: expert systems and intelligent agents * Formulating and solving logic systems * Reasoning under uncertainty * Learning logic formulas from data * Nonmonotonic and incomplete reasoning * Question-and-answer processes * Intelligent systems that construct intelligent systems Design of Logic-based Intelligent Systems is both a handbook for the AI practitioner and a textbook for advanced undergraduate and graduate courses on intelligent systems. Included are more than forty algorithms, and numerous examples and exercises. The purchaser of the book may obtain an accompanying software package (Leibniz System) free of charge via the internet at leibnizsystem.com.

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek
Publisher : Springer
Page : 422 pages
File Size : 54,7 Mb
Release : 2017-09-30
Category : Technology & Engineering
ISBN : 9783319671376

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Fuzzy Logic in Intelligent System Design by Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek Pdf

This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models

Author : Hua Harry Li,Madan M. Gupta
Publisher : Springer Science & Business Media
Page : 455 pages
File Size : 54,9 Mb
Release : 2007-07-07
Category : Mathematics
ISBN : 9780585280004

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Fuzzy Logic and Intelligent Systems by Hua Harry Li,Madan M. Gupta Pdf

One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. Neural-fuzzy techniques help one to solve many of these problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students.

Author : Nakamatsu Kazumi,Jain Lakhmi C
Publisher : World Scientific
Page : 680 pages
File Size : 46,7 Mb
Release : 2013-01-18
Category : Computers
ISBN : 9789814489164

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The Handbook On Reasoning-based Intelligent Systems by Nakamatsu Kazumi,Jain Lakhmi C Pdf

This book consists of various contributions in conjunction with the keywords “reasoning” and “intelligent systems”, which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally.

Author : Fakhreddine O. Karray,Clarence W. De Silva
Publisher : Addison Wesley Longman
Page : 592 pages
File Size : 44,8 Mb
Release : 2004
Category : Computers
ISBN : UOM:39015059578040

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Soft Computing and Intelligent Systems Design by Fakhreddine O. Karray,Clarence W. De Silva Pdf

Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing community. The new wave of AI methods seeks inspiration from the world of biology, and is being used to create numerous real-world intelligent systems with the aid of soft computing tools. These new methods are being increasingly taught at the upper end of the curriculum, sometimes as an adjunct to traditional AI courses, and sometimes as a replacement for them. Where a more radical approach is taken and the course is being taught at an introductory level, we have recently published Negnevitsky's book. Karray and Silva will be suitable for the majority of courses which will be found at an advanced level. Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies. Covering the state-of-the-art in soft-computing techniques, the book gives the reader sufficient knowledge to tackle a wide range of complex systems for which traditional techniques are inadequate.

Author : Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 855 pages
File Size : 52,7 Mb
Release : 2007-09-20
Category : Technology & Engineering
ISBN : 9783540724322

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Analysis and Design of Intelligent Systems Using Soft Computing Techniques by Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz Pdf

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Author : Xuan F. Zha,Robert J. Howlett
Publisher : IOS Press
Page : 432 pages
File Size : 46,8 Mb
Release : 2006
Category : Computers
ISBN : 1586036750

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Integrated Intelligent Systems for Engineering Design by Xuan F. Zha,Robert J. Howlett Pdf

Aims to describe findings and techniques that use intelligent systems in engineering design, and examples of applications. This book focuses on the integrated intelligent methodologies, frameworks and systems for supporting engineering design activities. It is aimed at researchers, graduate students and engineers involved in engineering design.

Author : Vladimir M. Koleshko
Publisher : BoD – Books on Demand
Page : 382 pages
File Size : 49,5 Mb
Release : 2012-03-02
Category : Computers
ISBN : 9789535100546

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Intelligent Systems by Vladimir M. Koleshko Pdf

This book is dedicated to intelligent systems of broad-spectrum application, such as personal and social biosafety or use of intelligent sensory micro-nanosystems such as "e-nose", "e-tongue" and "e-eye". In addition to that, effective acquiring information, knowledge management and improved knowledge transfer in any media, as well as modeling its information content using meta-and hyper heuristics and semantic reasoning all benefit from the systems covered in this book. Intelligent systems can also be applied in education and generating the intelligent distributed eLearning architecture, as well as in a large number of technical fields, such as industrial design, manufacturing and utilization, e.g., in precision agriculture, cartography, electric power distribution systems, intelligent building management systems, drilling operations etc. Furthermore, decision making using fuzzy logic models, computational recognition of comprehension uncertainty and the joint synthesis of goals and means of intelligent behavior biosystems, as well as diagnostic and human support in the healthcare environment have also been made easier.

Author : Kazumi Nakamatsu,Jair Minoro Abe
Publisher : IOS Press
Page : 304 pages
File Size : 43,8 Mb
Release : 2005
Category : Computers
ISBN : 9781586035686

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Advances in Logic Based Intelligent Systems by Kazumi Nakamatsu,Jair Minoro Abe Pdf

LAPTEC' 2005 promoted the discussion and interaction between researchers and practitioners focused on both theoretical and practical disciplines concerning logics applied to technology, with diverse backgrounds including all kinds of intelligent systems having classical or non-classical logics as underlying common matters.

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer
Page : 637 pages
File Size : 42,6 Mb
Release : 2015-06-12
Category : Computers
ISBN : 9783319177472

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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization by Patricia Melin,Oscar Castillo,Janusz Kacprzyk Pdf

This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.

Author : Iluminada Baturone,Angel Barriga,Carlos Jimenez-Fernandez,Diego R. Lopez,Santiago Sanchez-Solano
Publisher : CRC Press
Page : 340 pages
File Size : 44,9 Mb
Release : 2000-03-30
Category : Technology & Engineering
ISBN : 0849300916

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Microelectronic Design of Fuzzy Logic-Based Systems by Iluminada Baturone,Angel Barriga,Carlos Jimenez-Fernandez,Diego R. Lopez,Santiago Sanchez-Solano Pdf

Fuzzy logic has virtually exploded over the landscape of emerging technologies, becoming an integral part of myriad applications and a standard tool for engineers. Until recently, most of the attention and applications have centered on fuzzy systems implemented in software. But these systems are limited. Problems that require real-time operation, low area, or low power consumption demand hardware designed to the fuzzy paradigm - and engineers with the background and skills to design it. Microelectronic Design of Fuzzy Logic-Based Systems offers low-cost answers to issues that software cannot resolve. From the theoretical, architectural, and technological foundation to design tools and applications, it serves as your guide to effective hardware realizations of fuzzy logic. Review fuzzy logic theory and the basic issues of fuzzy sets, operators, and inference mechanisms Explore the trade-offs between efficient theoretical behavior and practical hardware realizations Discover the properties of the possible microelectronic realizations of fuzzy systems - conventional processors, fuzzy coprocessors, and fuzzy chips Investigate the design of fuzzy chips that implement the whole fuzzy inference method into silicon Analyze analog, digital, and mixed-signal techniques Reduce your design effort for fuzzy systems with CAD tools - learn the requirements they should meet and survey current environments. Put it all together - see examples and case studies illustrating how all of this is used to solve particular problems related to control and neuro-fuzzy applications

Author : Igor Aleksander
Publisher : Unknown
Page : 176 pages
File Size : 49,7 Mb
Release : 1984
Category : Artificial intelligence
ISBN : UCAL:B4142316

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Designing Intelligent Systems by Igor Aleksander Pdf

Author : E. Chandrasekaran,R. Anandan,G. Suseendran,S. Balamurugan,Hanaa Hachimi
Publisher : John Wiley & Sons
Page : 482 pages
File Size : 43,6 Mb
Release : 2021-09-08
Category : Computers
ISBN : 9781119760450

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Fuzzy Intelligent Systems by E. Chandrasekaran,R. Anandan,G. Suseendran,S. Balamurugan,Hanaa Hachimi Pdf

FUZZY INTELLIGENT SYSTEMS A comprehensive guide to Expert Systems and Fuzzy Logic that is the backbone of artificial intelligence. The objective in writing the book is to foster advancements in the field and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and those in education and research covering a broad cross section of technical disciplines. Fuzzy Intelligent Systems: Methodologies, Techniques, and Applications comprises state-of-the-art chapters detailing how expert systems are built and how the fuzzy logic resembling human reasoning, powers them. Engineers, both current and future, need systematic training in the analytic theory and rigorous design of fuzzy control systems to keep up with and advance the rapidly evolving field of applied control technologies. As a consequence, expert systems with fuzzy logic capabilities make for a more versatile and innovative handling of problems. This book showcases the combination of fuzzy logic and neural networks known as a neuro-fuzzy system, which results in a hybrid intelligent system by combining a human-like reasoning style of neural networks. Audience Researchers and students in computer science, Internet of Things, artificial intelligence, machine learning, big data analytics and information and communication technology-related fields. Students will gain a thorough understanding of fuzzy control systems theory by mastering its contents.

Author : Ladislav Kohout
Publisher : Chapman & Hall
Page : 280 pages
File Size : 52,5 Mb
Release : 1990
Category : Computers
ISBN : UOM:39015018521636

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A Perspective on Intelligent Systems by Ladislav Kohout Pdf

Steps back from the day-to-day practical problems of artificial intelligence, psychology, and neuroscience to consider the fundamental ideas shared by the three disciplines. Explores the definition and analysis of intelligent systems, and examines "intelligence" itself in terms of its internal modes and its interaction with the environment through formal mathematics or logical languages. Distributed in the US by VNR. Annotation copyrighted by Book News, Inc., Portland, OR

Author : Steven H. Kim
Publisher : Oxford University Press, USA
Page : 300 pages
File Size : 53,7 Mb
Release : 1990
Category : Computers
ISBN : UOM:39015019664724

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Designing Intelligence by Steven H. Kim Pdf

The study of intelligent systems has assumed increasing importance as computers have become integrated into scientific and technological processes. Such systems are used by biologists in modeling adaptive structures, by cognitive psychologists looking at reasoning mechanisms, by engineers working with microprocessor-based devices of all kinds, by industrial planners of automated factories, and in many kinds of information and office-management networks. However there is no accepted general theory nor even a coherent framework for discussing such developments. The aim of this text is to present a general basis for analyzing and synthesizing natural and artificial intelligent systems, fusing theoretical models with a set of relationships or behavioral principles. Written at the graduate level, the book will be highly useful in courses for mechanical engineers and computer scientists. It will also have wide appeal for researchers and scientists involved in using and designing computer-based intelligent systems.