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. This Book Brings An Integrated Perspective To Several Major Current Themes In The Engineering Of Technological And Business Systems. Part I Begins With An Introduction That Explains And Applies Ideas And Practices From The Fields Of Systems Engineering, Systems Thinking, User Centric Design And Artificial Intelligence/machine Learning. Part Ii Shows How To Use The Best Techniques Of Systems Design And Model-based Systems Engineering In A Highly Visual Way, Providing Many Benefits To The Practice Of Systems Engineering. These Include Better Communication Within The Project Or Program Engineering And Development Team, Clearer Conceptualization And Understanding Of The System And Its Behavior And Architecture, And Faster Overall Development Cycle Time. Part Iii Discusses How To Make Human Activity Systems More Intelligent By Introducing New Technology And Changing How Humans Act To Improve Overall Performance. "There is a great deal of interest and activity in artificial intelligence, and specifically machine learning, but virtually all of it refers to the software development of isolated data analysis systems, or of control systems for robots and other devices. By applying model-based systems engineering to artificial intelligence, engineers can design complex systems that have AI-based components with the result being an intelligent system. For these engineered intelligent systems to achieve their ultimate goals, creators apply systems thinking to the larger human activity system that includes both the engineered intelligent system and the humans who use it and interact with it, resulting in a larger intelligent system."-- Provided by publisher
