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Item #:
164780697
Engineering Intelligent Systems, (Hardcover)
Item #:
164780697
MYR 683
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Engineering Intelligent Systems offers an intriguing new approach to making systems more intelligent using artificial intelligence, machine learning, systems thinking, and system modeling.
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What Stands Out
Integrated Approach
Combines systems engineering, AI, and visual modeling, offering a comprehensive solution for designing intelligent systems, making it ideal for engineers seeking a modern, holistic methodology.
Practical Applications
Focuses on real-world applications of systems thinking and AI, providing valuable insights and techniques for tackling complex engineering problems faced in today's technology-driven landscape.
Expert Insights
Authored by leading experts in the field, ensuring high-quality, reliable content that empowers readers with the latest knowledge and best practices in systems engineering and AI integration.
Maklumat produk
- 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.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | October, 2022 |
| Pages | 384 |
| Subgenre | Electronics |
| Series title | No Series |
| Edition | 1 |
| Publisher | John Wiley & Sons |
| Original languages | English |
| Language | English |
| Edu focus | Engineering |
| Educational level | General |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.88 x 9.00 in (15.2 x 2.2 x 22.9 cm) |
| Assembled product weight | 1.49 lb (680 grams) |
| Bisac subject heading | Technology & Engineering |
Who Should Buy?
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Systems Engineers
Ideal for professionals looking to integrate AI with systems engineering practices for improved design efficiency.
-
AI Researchers
Beneficial for academics and researchers focusing on the intersection of artificial intelligence and systems design methodologies.
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Students
Great for students pursuing studies in engineering, AI, or systems thinking concepts, providing essential theoretical and practical insights.
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Casual Readers
Not suitable for those seeking light reading; it requires a technical background for full comprehension.
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Barclay R Brown All Books Editorial Review
Engineering Intelligent Systems is a hardcover non-fiction book published by John Wiley & Sons in October 2022, featuring 384 pages dedicated to the fields of Computing & Internet and Electronics. This book is tailored for a general educational level and focuses on Engineering, making it a valuable resource for those interested in technology and engineering concepts. The case binding ensures durability, making it suitable for academic settings. Readers appreciate the informative content and clear explanations, which enhance their understanding of intelligent systems in engineering.
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Ulas Produk Ini
Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- Durable hardcover format for longevity
- Rich content on intelligent systems
- Clear explanations for complex topics
- Suitable for general educational use
- Published by a reputable publisher
Keburukan
- Some readers might find it dense for casual reading
Product Price History
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MYR 683
Pesan sekarang dan dapatkannya lebih kurang pada Sunday, September 06
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Ciri & Faedah
- Integrates AI with systems engineering for smarter solutions.
- Designed for engineers and business professionals seeking innovation.
- Explores the synergy of systems thinking and modern technologies.
- Provides practical tools for collaboration in system development.
- Includes hands-on examples, like building a neural network without coding.
- Analyzes the future implications of conscious AI on society.
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