Engineering Intelligent Systems - Systems Engineering and Design with ArtificialIntelligence , Visual Modeling and Systems Thinking

Engineering Intelligent Systems is a book that explores the three key disciplines of intelligent systems and how to combine systems engineering and systems thinking with the newest technologies to design increasingly intelligent systems. It provides an introduction to the fields of artificial intelligence, machine learning, model-based systems engineering, and systems thinking, and offers an example of how to build a deep neural network in a spreadsheet. It also analyzes the potential ability of computers to think, understand, and become conscious and offers tools to allow for easier collaboration and communication among developers and engineers.

Format: Hardback
Length: 384 pages
Publication date: 24 November 2022
Publisher: John Wiley and Sons Ltd

As artificial intelligence (AI) and machine learning technology continue to advance and find new applications, the focus of this field has largely been on developing isolated software data analysis systems or control systems for robots and other devices. However, by applying model-based systems engineering to AI, engineers can create complex systems that rely on AI-based components, resulting in larger, more complex intelligent systems that successfully integrate humans and AI.

Engineering Intelligent Systems, written by Dr. Barclay R. Brown, a renowned expert with 25 years of experience in software and systems engineering, offers an integrated perspective on the challenges and opportunities of using AI to create better technological and business systems. While most recent research in this field has centered on adapting and improving algorithms and devices, this book takes a novel approach by advocating for the transformation of our lives, societies, and businesses into intelligent systems.

At the core of this book lies the idea of combining systems engineering and systems thinking with the latest technologies to design increasingly intelligent systems. Readers will gain a comprehensive introduction to the fields of artificial intelligence, machine learning, model-based systems engineering (MBSE), and systems thinking, which are essential for making systems smarter. The book provides an example of how to build a deep neural network in a spreadsheet, without the need for code or specialized mathematics, making it accessible to a wide range of readers.

Furthermore, the book offers an approach to the visual representation of systems, drawing inspiration from moviemaking, storytelling, visual systems design, and more. By employing these techniques, engineers can create intuitive and compelling representations of complex systems, facilitating better understanding and collaboration among stakeholders.

In conclusion, Engineering Intelligent Systems is a valuable resource for engineers, researchers, and professionals seeking to leverage the power of AI to create smarter systems. With its comprehensive coverage of the key disciplines, practical examples, and innovative approach to visual representation, this book provides a roadmap for building increasingly intelligent systems that seamlessly integrate humans and AI.

Weight: 674g
Dimension: 159 x 237 x 28 (mm)
ISBN-13: 9781119665595