Intelligent Systems and Soft Computing

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Publisher : Springer
ISBN 13 : 3540449175
Total Pages : 358 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Intelligent Systems and Soft Computing by : Behnam Azvine

Download or read book Intelligent Systems and Soft Computing written by Behnam Azvine and published by Springer. This book was released on 2006-12-30 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The papers in this book explore the possibility of bringing these two areas together. This book is unique in the way it concentrates on building intelligent software systems by combining methods from diverse disciplines, such as fuzzy set theory, neuroscience, agent technology, knowledge discovery, and symbolic artificial intelligence. The first part of the book focuses on foundational aspects and future directions; the second part provides the reader with an overview of recently developed software tools for building flexible intelligent systems; the final section studies developed applications in various fields.

Soft Computing and Intelligent Systems Design

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Publisher : Addison Wesley Longman
ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Soft Computing and Intelligent Systems Design by : Fakhreddine O. Karray

Download or read book Soft Computing and Intelligent Systems Design written by Fakhreddine O. Karray and published by Addison Wesley Longman. This book was released on 2004 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Soft Computing for Intelligent Systems

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Author :
Publisher : Springer Nature
ISBN 13 : 9811610487
Total Pages : 653 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Soft Computing for Intelligent Systems by : Nikhil Marriwala

Download or read book Soft Computing for Intelligent Systems written by Nikhil Marriwala and published by Springer Nature. This book was released on 2021-06-22 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18–20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications.

Intelligent Systems and Computer Technology

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Publisher : IOS Press
ISBN 13 : 1643681036
Total Pages : 672 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Intelligent Systems and Computer Technology by : D.J. Hemanth

Download or read book Intelligent Systems and Computer Technology written by D.J. Hemanth and published by IOS Press. This book was released on 2020-12-15 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in soft-computation techniques have paved the way for handling huge volumes of data, thereby bringing about significant changes and technological advancements. This book presents the proceedings of the 3rd International Conference on Emerging Current Trends in Computing & Expert Technology (COMET 2020), held at Panimalar Engineering College, Chennai, India on 6 and 7 March 2020. The aim of the book is to disseminate cutting-edge developments taking place in the technological fields of intelligent systems and computer technology, thereby assisting researchers and practitioners from both institutions and industry to upgrade their knowledge of the latest developments and emerging areas of study. It focuses on technological innovations and trendsetting initiatives to improve business values, optimize business processes and enable inclusive growth for corporates, industries and education alike. The book is divided into two sections; ‘Next Generation Soft Computing’ is a platform for scientists, researchers, practitioners and academics to present and discuss their most recent innovations, trends and concerns, as well as the practical challenges encountered in the field. The second section, ‘Evolutionary Networking and Communications’ focuses on various aspects of 5G communications systems and networking, including cloud and virtualization solutions, management technologies, and vertical application areas. It brings together the latest technologies from all over the world, and also provides an excellent international forum for the sharing of knowledge and results from theory, methodology and applications in networking and communications. The book will be of interest to all those working in the fields of intelligent systems and computer technology.

Soft Computing In Systems And Control Technology

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Publisher : World Scientific
ISBN 13 : 981449643X
Total Pages : 510 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Soft Computing In Systems And Control Technology by : Spyros Tzafestas

Download or read book Soft Computing In Systems And Control Technology written by Spyros Tzafestas and published by World Scientific. This book was released on 1999-05-21 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing is a branch of computing which, unlike hard computing, can deal with uncertain, imprecise and inexact data. The three constituents of soft computing are fuzzy-logic-based computing, neurocomputing, and genetic algorithms. Fuzzy logic contributes the capability of approximate reasoning, neurocomputing offers function approximation and learning capabilities, and genetic algorithms provide a methodology for systematic random search and optimization. These three capabilities are combined in a complementary and synergetic fashion.This book presents a cohesive set of contributions dealing with important issues and applications of soft computing in systems and control technology. The contributions include state-of-the-art material, mathematical developments, fresh results, and how-to-do issues. Among the problems studied via neural, fuzzy, neurofuzzy and genetic methodologies are: data fusion, reinforcement learning, approximation properties, multichannel imaging, signal processing, system optimization, gaming, and several forms of control.The book can serve as a reference for researchers and practitioners in the field. Readers can find in it a large amount of useful and timely information, and thus save considerable effort in searching for other scattered literature.

Soft Computing Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642339417
Total Pages : 714 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Soft Computing Applications by : Valentina Emilia Balas

Download or read book Soft Computing Applications written by Valentina Emilia Balas and published by Springer Science & Business Media. This book was released on 2012-10-31 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the Proceedings of the 5thInternational Workshop on Soft Computing Applications (SOFA 2012). The book covers a broad spectrum of soft computing techniques, theoretical and practical applications employing knowledge and intelligence to find solutions for world industrial, economic and medical problems. The combination of such intelligent systems tools and a large number of applications introduce a need for a synergy of scientific and technological disciplines in order to show the great potential of Soft Computing in all domains. The conference papers included in these proceedings, published post conference, were grouped into the following area of research: · Soft Computing and Fusion Algorithms in Biometrics, · Fuzzy Theory, Control andApplications, · Modelling and Control Applications, · Steps towards Intelligent Circuits, · Knowledge-Based Technologies for Web Applications, Cloud Computing and Security Algorithms, · Computational Intelligence for Biomedical Applications, · Neural Networks and Applications, · Intelligent Systems for Image Processing, · Knowledge Management for Business Process and Enterprise Modelling. The combination of intelligent systems tools and a large number of applications introduce a need for a synergy of scientific and technological disciplines in order to show the great potential of Soft Computing in all domains.

Intelligent Systems

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Publisher : CRC Press
ISBN 13 : 0429560044
Total Pages : 288 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Intelligent Systems by : Chiranji Lal Chowdhary

Download or read book Intelligent Systems written by Chiranji Lal Chowdhary and published by CRC Press. This book was released on 2020-01-06 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

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Publisher : Springer
ISBN 13 : 9783642063251
Total Pages : 0 pages
Book Rating : 4.0/5 (632 download)

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Book Synopsis Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing by : Patricia Melin

Download or read book Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing written by Patricia Melin and published by Springer. This book was released on 2010-11-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.

Intelligent Control Systems Using Soft Computing Methodologies

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Publisher : CRC Press
ISBN 13 : 1420058142
Total Pages : 504 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Intelligent Control Systems Using Soft Computing Methodologies by : Ali Zilouchian

Download or read book Intelligent Control Systems Using Soft Computing Methodologies written by Ali Zilouchian and published by CRC Press. This book was released on 2001-03-27 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes. The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology. Suitable as a textbook or a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.

Machine Intelligence and Soft Computing

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Publisher : Springer Nature
ISBN 13 : 981159516X
Total Pages : 504 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Machine Intelligence and Soft Computing by : Debnath Bhattacharyya

Download or read book Machine Intelligence and Soft Computing written by Debnath Bhattacharyya and published by Springer Nature. This book was released on 2021-01-20 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan’s Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Soft Computing for Hybrid Intelligent Systems

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Publisher : Springer
ISBN 13 : 354070812X
Total Pages : 448 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Soft Computing for Hybrid Intelligent Systems by : Oscar Castillo

Download or read book Soft Computing for Hybrid Intelligent Systems written by Oscar Castillo and published by Springer. This book was released on 2008-09-10 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. The second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. The third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

Soft Computing in Machine Learning

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Publisher : Springer
ISBN 13 : 331905533X
Total Pages : 117 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Soft Computing in Machine Learning by : Sang-Yong Rhee

Download or read book Soft Computing in Machine Learning written by Sang-Yong Rhee and published by Springer. This book was released on 2014-07-08 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis. You can train machines to perform some things, so that they can automatically detect, diagnose, and solve a variety of problems. The intelligent systems have made rapid progress in developing the state of the art in machine learning based on smart and deep perception. Using machine learning, the intelligent systems make widely applications in automated speech recognition, natural language processing, medical diagnosis, bioinformatics, and robot locomotion. This book aims at introducing how to treat a substantial amount of data, to teach machines and to improve decision making models. And this book specializes in the developments of advanced intelligent systems through machine learning. It consists of 11 contributions that features illumination change detection, generator of electronic educational publications, intelligent call triage system, recognition of rocks at uranium deposits, graphics processing units, mathematical model of hit phenomena, selection and mutation in genetic algorithm, hands and arms motion estimation, application of wavelet network, Kanizsa triangle illusion, and support vector machine regression. Also, it describes how to apply the machine learning for the intelligent systems. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verifications.

Soft Computing and Intelligent Systems

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Publisher : Elsevier
ISBN 13 : 9780080541334
Total Pages : 639 pages
Book Rating : 4.5/5 (413 download)

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Book Synopsis Soft Computing and Intelligent Systems by : Madan M. Gupta

Download or read book Soft Computing and Intelligent Systems written by Madan M. Gupta and published by Elsevier. This book was released on 1999-10-28 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic algorithms. The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science. This book cover the fundamentals of this emerging filed, as well as direct applications and case studies. There is a need for practicing engineers, computer scientists, and system scientists to directly apply "fuzzy" engineering into a wide array of devices and systems.

Computing with Words in Information/Intelligent Systems 1

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Publisher : Physica
ISBN 13 : 3790818739
Total Pages : 523 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Computing with Words in Information/Intelligent Systems 1 by : Lotfi A. Zadeh

Download or read book Computing with Words in Information/Intelligent Systems 1 written by Lotfi A. Zadeh and published by Physica. This book was released on 2013-03-09 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: These two volumes consIstmg of Foundations and Applications provide the current status of theoretical and empirical developments in "computing with words". In philosophy, the twentieth century is said to be the century of language. This is mainly due to Wittgenstein who said: "The meaning of a word is its use in the language game". "The concept game is a concept with blurred edges". In the first phrase, "the language game" implies the everyday human activity with language, and in the latter, "game" simply implies an ordinary word. Thus, Wittgenstein precisely stated that a word is fuzzy in real life. Unfortunately this idea about a word was not accepted in the conventional science. We had to wait for Zadeh's fuzzy sets theory. Remembering Wittgenstein's statement, we should consider, on the one hand, the concept of "computing with words" from a philosophical point of view. It deeply relates to the everyday use of a word in which the meaning of a word is fuzzy in its nature.

Soft Computing Based Modeling in Intelligent Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3642004474
Total Pages : 210 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Soft Computing Based Modeling in Intelligent Systems by : Valentina Emilia Balas

Download or read book Soft Computing Based Modeling in Intelligent Systems written by Valentina Emilia Balas and published by Springer Science & Business Media. This book was released on 2009-03-23 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book “Soft Computing Based Modeling in Intelligent Systems”contains the - tended works originally presented at the IEEE International Workshop SOFA 2005 and additional papers. SOFA, an acronym for SOFt computing and Applications, is an international wo- shop intended to advance the theory and applications of intelligent systems and soft computing. Lotfi Zadeh, the inventor of fuzzy logic, has suggested the term “Soft Computing.” He created the Berkeley Initiative of Soft Computing (BISC) to connect researchers working in these new areas of AI. Professor Zadeh participated actively in our wo- shop. Soft Computing techniques are tolerant to imprecision, uncertainty and partial truth. Due to the large variety and complexity of the domain, the constituting methods of Soft Computing are not competing for a comprehensive ultimate solution. Instead they are complementing each other, for dedicated solutions adapted to each specific pr- lem. Hundreds of concrete applications are already available in many domains. Model based approaches offer a very challenging way to integrate a priori knowledge into procedures. Due to their flexibility, robustness, and easy interpretability, the soft c- puting applications will continue to have an exceptional role in our technologies. The applications of Soft Computing techniques in emerging research areas show its mat- ity and usefulness. The IEEE International Workshop SOFA 2005 held Szeged-Hungary and Arad- Romania in 2005 has led to the publication of these two edited volumes. This volume contains Soft Computing methods and applications in modeling, optimisation and prediction.

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

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Publisher : Springer Science & Business Media
ISBN 13 : 354072432X
Total Pages : 855 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Analysis and Design of Intelligent Systems Using Soft Computing Techniques by : Patricia Melin

Download or read book Analysis and Design of Intelligent Systems Using Soft Computing Techniques written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2007-09-20 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Software Agents and Soft Computing: Towards Enhancing Machine Intelligence

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Publisher : Lecture Notes in Artificial Intelligence
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Software Agents and Soft Computing: Towards Enhancing Machine Intelligence by : Hyacinth S. Nwana

Download or read book Software Agents and Soft Computing: Towards Enhancing Machine Intelligence written by Hyacinth S. Nwana and published by Lecture Notes in Artificial Intelligence. This book was released on 1997-01-22 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This carefully arranged book is mainly based on work done by the Intelligent Systems Research Group at BT Laboratories, essentially in cooperation with internationally leading scientists from outside BT. It opens with a detailed introduction surveying the area and putting the work presented in context. Conceptual issues surrounding intelligent agents and multi-agent systems are investigated and the practical and industrial applicability of this exciting new technology is demonstrated. One section is devoted to the rationale, philosophy, and techniques of the emerging area of soft computing. The final section outlines the broader context in dealing with machine intelligence in general and intelligent software systems in particular.