Systems Engineering And Artificial Intelligence

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Systems Engineering and Artificial Intelligence

Author : William F. Lawless,Ranjeev Mittu,Donald A. Sofge,Thomas Shortell,Thomas A. McDermott
Publisher : Springer Nature
Page : 566 pages
File Size : 41,7 Mb
Release : 2021-11-02
Category : Computers
ISBN : 9783030772833

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Systems Engineering and Artificial Intelligence by William F. Lawless,Ranjeev Mittu,Donald A. Sofge,Thomas Shortell,Thomas A. McDermott Pdf

This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.

Applications of Artificial Intelligence in Process Systems Engineering

Author : Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong
Publisher : Elsevier
Page : 542 pages
File Size : 41,8 Mb
Release : 2021-06-05
Category : Technology & Engineering
ISBN : 9780128217436

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Applications of Artificial Intelligence in Process Systems Engineering by Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong Pdf

Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering

Machine Learning and Systems Engineering

Author : Sio-Iong Ao,Burghard B. Rieger,Mahyar Amouzegar
Publisher : Springer Science & Business Media
Page : 607 pages
File Size : 45,5 Mb
Release : 2010-10-05
Category : Technology & Engineering
ISBN : 9789048194193

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Machine Learning and Systems Engineering by Sio-Iong Ao,Burghard B. Rieger,Mahyar Amouzegar Pdf

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October 20-22, 2009, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2009). Machine Learning and Systems Engineering contains forty-six revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Machine Learning and Systems Engineering offers the state of the art of tremendous advances in machine learning and systems engineering and also serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering.

Intelligent Systems for Engineers and Scientists

Author : Adrian A. Hopgood
Publisher : CRC Press
Page : 455 pages
File Size : 46,7 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 and Digital Systems Engineering

Author : Adedeji B. Badiru
Publisher : CRC Press
Page : 128 pages
File Size : 55,7 Mb
Release : 2021-08-11
Category : Technology & Engineering
ISBN : 9781000472516

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Artificial Intelligence and Digital Systems Engineering by Adedeji B. Badiru Pdf

The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering. Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks. This book is for the general reader, university students, and instructors of industrial, production, civil, mechanical, and manufacturing engineering. It will also be of interest to managers of technology, projects, business, plants, and operations.

Engineering Artificially Intelligent Systems

Author : William F. Lawless,James Llinas,Donald A. Sofge,Ranjeev Mittu
Publisher : Springer Nature
Page : 291 pages
File Size : 50,8 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.

Artificial Intelligence and Expert Systems for Engineers

Author : C.S. Krishnamoorthy,S. Rajeev
Publisher : CRC Press
Page : 219 pages
File Size : 55,9 Mb
Release : 2018-04-24
Category : Computers
ISBN : 9781351465588

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Artificial Intelligence and Expert Systems for Engineers by C.S. Krishnamoorthy,S. Rajeev Pdf

This book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems. What's more, it offers these AI tools on an accompanying disk with easy-to-use software. Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning. KBES are the most popular AI-based tools and have been successfully applied to planning, diagnosis, classification, monitoring, and design problems. Case studies are provided with problems in engineering design for better understanding of the problem-solving models using the four methodologies in an integrated software environment. Throughout the book, examples are given so that students and engineers can acquire skills in the use of AI-based methodologies for application to practical problems ranging from diagnosis to planning, design, and construction and manufacturing in various disciplines of engineering. Artificial Intelligence and Expert Systems for Engineers is a must-have reference for students, teachers, research scholars, and professionals working in the area of civil engineering design in particular and engineering design in general.

Artificial Intelligence and Evolutionary Computations in Engineering Systems

Author : Subhransu Sekhar Dash,Paruchuri Chandra Babu Naidu,Ramazan Bayindir,Swagatam Das
Publisher : Springer
Page : 735 pages
File Size : 53,6 Mb
Release : 2018-03-19
Category : Technology & Engineering
ISBN : 9789811078682

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Artificial Intelligence and Evolutionary Computations in Engineering Systems by Subhransu Sekhar Dash,Paruchuri Chandra Babu Naidu,Ramazan Bayindir,Swagatam Das Pdf

The book is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES 2017). The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academia and industry have presented their original work and ideas, information, techniques and applications in the field of communication, computing and power technologies.

Artificial Intelligence Techniques in Power Systems

Author : Kevin Warwick,Arthur Ekwue,Raj Aggarwal,Institution of Electrical Engineers
Publisher : IET
Page : 324 pages
File Size : 50,9 Mb
Release : 1997
Category : Computers
ISBN : 0852968973

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Artificial Intelligence Techniques in Power Systems by Kevin Warwick,Arthur Ekwue,Raj Aggarwal,Institution of Electrical Engineers Pdf

The intention of this book is to give an introduction to, and an overview of, the field of artificial intelligence techniques in power systems, with a look at various application studies.

Emerging Artificial Intelligence Applications in Computer Engineering

Author : Ilias G. Maglogiannis
Publisher : IOS Press
Page : 420 pages
File Size : 55,5 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.

Engineering Intelligent Systems

Author : Barclay R. Brown
Publisher : John Wiley & Sons
Page : 390 pages
File Size : 45,9 Mb
Release : 2022-10-04
Category : Technology & Engineering
ISBN : 9781119665595

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Engineering Intelligent Systems by Barclay R. Brown Pdf

Engineering Intelligent Systems Exploring the three key disciplines of intelligent systems As artificial intelligence (AI) and machine learning technology continue to develop and find new applications, advances in this field have generally been focused on the development of isolated software data analysis systems or of control systems for robots and other devices. By applying model-based systems engineering to AI, however, engineers can design complex systems that rely on AI-based components, resulting in larger, more complex intelligent systems that successfully integrate humans and AI. Engineering Intelligent Systems relies on Dr. Barclay R. Brown’s 25 years of experience in software and systems engineering to propose an integrated perspective to the challenges and opportunities in the use of artificial intelligence to create better technological and business systems. While most recent research on the topic has focused on adapting and improving algorithms and devices, this book puts forth the innovative idea of transforming the systems in our lives, our societies, and our businesses into intelligent systems. At its heart, this book is about how to combine systems engineering and systems thinking with the newest technologies to design increasingly intelligent systems. Engineering Intelligent Systems readers will also find: An introduction to the fields of artificial intelligence with machine learning, model-based systems engineering (MBSE), and systems thinking—the key disciplines for making systems smarter An example of how to build a deep neural network in a spreadsheet, with no code or specialized mathematics required An approach to the visual representation of systems, using techniques from moviemaking, storytelling, visual systems design, and model-based systems engineering An analysis of the potential ability of computers to think, understand and become conscious and its implications for artificial intelligence Tools to allow for easier collaboration and communication among developers and engineers, allowing for better understanding between stakeholders, and creating a faster development cycle A systems thinking approach to people systems—systems that consist only of people and which form the basis for our organizations, communities and society Engineering Intelligent Systems offers an intriguing new approach to making systems more intelligent using artificial intelligence, machine learning, systems thinking, and system modeling and therefore will be of interest to all engineers and business professionals, particularly systems engineers.

Advances in Artificial Systems for Power Engineering

Author : Zhengbing Hu,Bo Wang,Sergey Petoukhov,Matthew He
Publisher : Springer Nature
Page : 244 pages
File Size : 43,7 Mb
Release : 2021-07-01
Category : Technology & Engineering
ISBN : 9783030805319

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Advances in Artificial Systems for Power Engineering by Zhengbing Hu,Bo Wang,Sergey Petoukhov,Matthew He Pdf

This book comprises refereed papers presented at The International Conference on Artificial Intelligence and Power Engineering (AIPE2020), held in Moscow, Russia, on December 25–27, 2020. The book's/conference's general scope covers the latest advances for the development of artificial intelligence systems and their applications in various fields from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in energy and power engineering to increase the effectiveness of creation and diagnosing of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. The in-depth study of biological and self-organizing systems provides new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.

Development of Knowledge-Based Systems for Engineering

Author : Carlo Tasso,Edoardo R.de Arantes e Oliveira
Publisher : Springer
Page : 241 pages
File Size : 40,8 Mb
Release : 2014-05-04
Category : Technology & Engineering
ISBN : 9783709127841

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Development of Knowledge-Based Systems for Engineering by Carlo Tasso,Edoardo R.de Arantes e Oliveira Pdf

The goal of the volume is twofold: to help engineers to understand the design and development process and the specific techniques utilized for constructing expert systems in engineering and, secondly, to introduce computer specialists to significant applications of knowledge-based techniques in engineering. Among the authors are world famous experts of engineering and knowledge-based systems development.

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Author : L. Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi
Publisher : Springer
Page : 862 pages
File Size : 51,9 Mb
Release : 2014-11-01
Category : Technology & Engineering
ISBN : 9788132221265

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Artificial Intelligence and Evolutionary Algorithms in Engineering Systems by L. Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi Pdf

The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

Advances in Artificial Intelligence, Software and Systems Engineering

Author : Tareq Z. Ahram
Publisher : Springer
Page : 567 pages
File Size : 40,5 Mb
Release : 2018-06-28
Category : Technology & Engineering
ISBN : 9783319942292

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Advances in Artificial Intelligence, Software and Systems Engineering by Tareq Z. Ahram Pdf

This book focuses on emerging issues following the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, highlighting ways to improve technology acceptance, effectiveness, and efficiency. Topics such as responsibility, integration and training are discussed throughout. The book also reports on the latest advances in systems engineering, with a focus on societal challenges and next-generation systems and applications for meeting them. It also discusses applications in smart grids and infrastructures, systems engineering education as well as defense and aerospace. The book is based on both the AHFE 2018 International Conference on Human Factors in Artificial Intelligence and Social Computing, Software and Systems Engineering, The Human Side of Service Engineering and Human Factors in Energy, July 21–25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA.