Artificial Intelligence In Intelligent Systems

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Intelligent Systems for Engineers and Scientists

Author : Adrian A. Hopgood
Publisher : CRC Press
Page : 455 pages
File Size : 44,8 Mb
Release : 2012-02-02
Category : Computers
ISBN : 9781466516175

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Intelligent Systems for Engineers and Scientists by Adrian A. Hopgood Pdf

The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids. Using clear and concise language, Intelligent Systems for Engineers and Scientists, Third Edition features updates and improvements throughout all chapters. It includes expanded and separated chapters on genetic algorithms and single-candidate optimization techniques, while the chapter on neural networks now covers spiking networks and a range of recurrent networks. The book also provides extended coverage of fuzzy logic, including type-2 and fuzzy control systems. Example programs using rules and uncertainty are presented in an industry-standard format, so that you can run them yourself. The first part of the book describes key techniques of artificial intelligence—including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), frames, objects, agents, symbolic learning, case-based reasoning, genetic algorithms, optimization algorithms, neural networks, hybrids, and the Lisp and Prolog languages. The second part describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control. The author provides sufficient detail to help you develop your own intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, this book provides you with detailed and up-to-date guidance. Check out the significantly expanded set of free web-based resources that support the book at: http://www.adrianhopgood.com/aitoolkit/

Artificial Intelligence

Author : Michael Negnevitsky
Publisher : Pearson Education
Page : 454 pages
File Size : 48,7 Mb
Release : 2005
Category : Computers
ISBN : 0321204662

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Artificial Intelligence by Michael Negnevitsky Pdf

Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.

Artificial Intelligence and Intelligent Systems

Author : N. P. Padhy
Publisher : Oxford University Press, USA
Page : 0 pages
File Size : 46,8 Mb
Release : 2005
Category : Computers
ISBN : 0195671546

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Artificial Intelligence and Intelligent Systems by N. P. Padhy Pdf

Artificial Intelligence and Intelligent Systems provides a comprehensive coverage of the fundamental concepts and techniques in artificial intelligence. The book discusses current trends in AI and its application to various fields. Intelligent systems such as expert systems, fuzzy systems, artificial neural networks, genetic algorithms, and swarm intelligent systems are discussed in detail with examples to facilitate in-depth understanding of AI. The text emphasizes the solution of real-world problems using the latest AI techniques. Since the ultimate goal of AI is the construction of programs to solve problems, an entire chapter has been devoted to the programming languages used in AI problem solving. Written in a clear and lucid style, this student-friendly book has been specially designed for undergraduate engineering students. With its application oriented approach and inclusion of recent topics, the book would also be useful to postgraduate students and researchers in th is field. Features BL Includes real-world examples to illustrate concepts BL Contains a separate chapter on programming languages in AI BL Includes new topics such as swarn intelligent systems BL Explains genetic algorithms and swarn intelligence using examples BL Provides numerous illustrations, examples, and end-chapter exercises

Advances in Intelligent Systems

Author : Francesco Carlo Morabito
Publisher : IOS Press
Page : 566 pages
File Size : 54,8 Mb
Release : 1997
Category : Computers
ISBN : 9051993552

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Advances in Intelligent Systems by Francesco Carlo Morabito Pdf

Intelligent Systems can be defined as systems whose design, mainly based on computational techniques, is supported, in some parts, by operations and processing skills inspired by human reasoning and behaviour. Intelligent Systems must typically operate in a scenario in which non-linearities are the rule and not as a disturbing effect to be corrected. Finally, Intelligent Systems also have to incorporate advanced sensory technology in order to simplify man-machine interactions. Several algorithms are currently the ordinary tools of Intelligent Systems. This book contains a selection of contributions regarding Intelligent Systems by experts in diverse fields. Topics discussed in the book are: Applications of Intelligent Systems in Modelling and Prediction of Environmental Changes, Cellular Neural Networks for NonLinear Filtering, NNs for Signal Processing, Image Processing, Transportation Intelligent Systems, Intelligent Techniques in Power Electronics, Applications in Medicine and Surgery, Hardware Implementation and Learning of NNs.

Artificial Intelligence and Algorithms in Intelligent Systems

Author : Radek Silhavy
Publisher : Springer
Page : 501 pages
File Size : 53,9 Mb
Release : 2018-05-26
Category : Technology & Engineering
ISBN : 9783319911892

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Artificial Intelligence and Algorithms in Intelligent Systems by Radek Silhavy Pdf

This book presents the latest trends and approaches in artificial intelligence research and its application to intelligent systems. It discusses hybridization of algorithms, new trends in neural networks, optimisation algorithms and real-life issues related to the application of artificial methods. The book constitutes the second volume of the refereed proceedings of the Artificial Intelligence and Algorithms in Intelligent Systems of the 7th Computer Science On-line Conference 2018 (CSOC 2018), held online in April 2018.

Intelligent Systems

Author : Crina Grosan,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 450 pages
File Size : 42,9 Mb
Release : 2011-07-29
Category : Technology & Engineering
ISBN : 9783642210044

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Intelligent Systems by Crina Grosan,Ajith Abraham Pdf

Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of 17 chapters offers a step-by-step introduction (in a chronological order) to the various modern computational intelligence tools used in practical problem solving. Staring with different search techniques including informed and uninformed search, heuristic search, minmax, alpha-beta pruning methods, evolutionary algorithms and swarm intelligent techniques; the authors illustrate the design of knowledge-based systems and advanced expert systems, which incorporate uncertainty and fuzziness. Machine learning algorithms including decision trees and artificial neural networks are presented and finally the fundamentals of hybrid intelligent systems are also depicted. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques, machine learning and data mining would find the comprehensive coverage of this book invaluable.

ARTIFICIAL INTELLIGENCE

Author : PARAG KULKARNI,PRACHI JOSHI
Publisher : PHI Learning Pvt. Ltd.
Page : 528 pages
File Size : 53,9 Mb
Release : 2015-02-26
Category : Computers
ISBN : 9788120350465

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ARTIFICIAL INTELLIGENCE by PARAG KULKARNI,PRACHI JOSHI Pdf

There has been a movement over the years to make machines intelligent. With the advent of modern technology, AI has become the core part of day-to-day life. But it is accentuated to have a book that keeps abreast of all the state-of-the-art concepts (pertaining to AI) in simplified, explicit and elegant way, expounding on ample examples so that the beginners are able to comprehend the subject with ease. The book on Artificial Intelligence, dexterously divided into 21 chapters, fully satisfies all these pressing needs. It is intended to put each and every concept related to intelligent system in front of the readers in the most simplified way so that while understanding the basic concepts, they will develop thought process that can contribute to the building of advanced intelligent systems. Various cardinal landmarks pertaining to the subject such as problem solving, search techniques, intelligent agents, constraint satisfaction problems, knowledge representation, planning, machine learning, natural language processing, pattern recognition, game playing, hybrid and fuzzy systems, neural network-based learning and future work and trends in AI are now under the single umbrella of this book, thereby showing a nice blend of theoretical and practical aspects. With all the latest information incorporated and several pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering, and information technology. KEY FEATURES • Highlights a clear and concise presentation through adequate study material • Follows a systematic approach to explicate fundamentals as well as recent advances in the area • Presents ample relevant problems in the form of multiple choice questions, concept review questions, critical thinking exercise and project work • Incorporates various case studies for major topics as well as numerous industrial examples

Artificial Intelligence and Integrated Intelligent Information Systems

Author : Xuan F. Zha
Publisher : IGI Global
Page : 479 pages
File Size : 47,7 Mb
Release : 2007-01-01
Category : Computers
ISBN : 9781599042497

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Artificial Intelligence and Integrated Intelligent Information Systems by Xuan F. Zha Pdf

Researchers in the evolving fields of artificial intelligence and information systems are constantly presented with new challenges. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications provides both researchers and professionals with the latest knowledge applied to customized logic systems, agent-based approaches to modeling, and human-based models. Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications presents the recent advances in multi-mobile agent systems, the product development process, fuzzy logic systems, neural networks, and ambient intelligent environments among many other innovations in this exciting field.

Building Intelligent Systems

Author : Geoff Hulten
Publisher : Apress
Page : 346 pages
File Size : 55,9 Mb
Release : 2018-03-06
Category : Computers
ISBN : 9781484234327

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Building Intelligent Systems by Geoff Hulten Pdf

Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You’ll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems

Intelligent Systems and Financial Forecasting

Author : Jason Kingdon
Publisher : Springer Science & Business Media
Page : 233 pages
File Size : 55,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447109495

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Intelligent Systems and Financial Forecasting by Jason Kingdon Pdf

A fundamental objective of Artificial Intelligence (AI) is the creation of in telligent computer programs. In more modest terms AI is simply con cerned with expanding the repertoire of computer applications into new domains and to new levels of efficiency. The motivation for this effort comes from many sources. At a practical level there is always a demand for achieving things in more efficient ways. Equally, there is the technical challenge of building programs that allow a machine to do something a machine has never done before. Both of these desires are contained within AI and both provide the inspirational force behind its development. In terms of satisfying both of these desires there can be no better example than machine learning. Machines that can learn have an in-built effi ciency. The same software can be applied in many applications and in many circumstances. The machine can adapt its behaviour so as to meet the demands of new, or changing, environments without the need for costly re-programming. In addition, a machine that can learn can be ap plied in new domains with the genuine potential for innovation. In this sense a machine that can learn can be applied in areas where little is known about possible causal relationships, and even in circumstances where causal relationships are judged not to exist. This last aspect is of major significance when considering machine learning as applied to fi nancial forecasting.

Intelligent Systems and Learning Data Analytics in Online Education

Author : Santi Caballé,Stavros N. Demetriadis,Eduardo Gómez-Sánchez,Pantelis M. Papadopoulos,Armin Weinberger
Publisher : Academic Press
Page : 427 pages
File Size : 43,6 Mb
Release : 2021-06-15
Category : Computers
ISBN : 9780128231272

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Intelligent Systems and Learning Data Analytics in Online Education by Santi Caballé,Stavros N. Demetriadis,Eduardo Gómez-Sánchez,Pantelis M. Papadopoulos,Armin Weinberger Pdf

Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods to improve online teaching and learning. This book addresses key problems such as attrition and lack of engagement in MOOCs and online learning in general. This book explores the state of the art of artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the various challenges of current e-learning in general and MOOC education. In particular, Intelligent Systems and Learning Data Analytics in Online Education shares stimulating theoretical and practical research from leading international experts. This publication provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners to evaluate and apply. Presents the application of innovative AI techniques to collaborative learning activities Offers strategies to provide automatic and effective tutoring to students’ activities Offers methods to collect, analyze and correctly visualize learning data in educational environments

Emerging Artificial Intelligence Applications in Computer Engineering

Author : Ilias G. Maglogiannis
Publisher : IOS Press
Page : 420 pages
File Size : 41,6 Mb
Release : 2007
Category : Computers
ISBN : 9781586037802

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Emerging Artificial Intelligence Applications in Computer Engineering by Ilias G. Maglogiannis Pdf

Provides insights on how computer engineers can implement artificial intelligence (AI) in real world applications. This book presents practical applications of AI.

Artificial Intelligence (AI)

Author : S. Kanimozhi Suguna,M. Dhivya,Sara Paiva
Publisher : CRC Press
Page : 331 pages
File Size : 51,8 Mb
Release : 2021-05-27
Category : Computers
ISBN : 9781000375527

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Artificial Intelligence (AI) by S. Kanimozhi Suguna,M. Dhivya,Sara Paiva Pdf

Addresses the complete functional framework workflow in Artificial Intelligence technology Explores basic and high-level concepts Based on the latest technologies covering the major challenges, issues, and advances in AI Discusses intelligent and automated system through AI and its implications to the real-world Presents data acquisition and case studies related to data-intensive technologies

Engineering Artificially Intelligent Systems

Author : William F. Lawless,James Llinas,Donald A. Sofge,Ranjeev Mittu
Publisher : Springer Nature
Page : 291 pages
File Size : 46,7 Mb
Release : 2021-11-16
Category : Computers
ISBN : 9783030893859

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Engineering Artificially Intelligent Systems by William F. Lawless,James Llinas,Donald A. Sofge,Ranjeev Mittu Pdf

Many current AI and machine learning algorithms and data and information fusion processes attempt in software to estimate situations in our complex world of nested feedback loops. Such algorithms and processes must gracefully and efficiently adapt to technical challenges such as data quality induced by these loops, and interdependencies that vary in complexity, space, and time. To realize effective and efficient designs of computational systems, a Systems Engineering perspective may provide a framework for identifying the interrelationships and patterns of change between components rather than static snapshots. We must study cascading interdependencies through this perspective to understand their behavior and to successfully adopt complex system-of-systems in society. This book derives in part from the presentations given at the AAAI 2021 Spring Symposium session on Leveraging Systems Engineering to Realize Synergistic AI / Machine Learning Capabilities. Its 16 chapters offer an emphasis on pragmatic aspects and address topics in systems engineering; AI, machine learning, and reasoning; data and information fusion; intelligent systems; autonomous systems; interdependence and teamwork; human-computer interaction; trust; and resilience.

Enterprise Artificial Intelligence Transformation

Author : Rashed Haq
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 55,7 Mb
Release : 2020-06-23
Category : Business & Economics
ISBN : 9781119665939

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Enterprise Artificial Intelligence Transformation by Rashed Haq Pdf

Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.