Engineering Intelligent Systems: Systems Engineering and Design with Artificial Intelligence, Visual Modeling, and Systems Thinking

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 a larger, more complex intelligent systems that more successfully integrate humans and AI.

Engineering Intelligent Systems relies on Dr. Barclay 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.

「探索智能系統的三個關鍵學科」

隨著人工智能（AI）和機器學習技術的不斷發展和應用，這一領域的進展通常集中在開發獨立的軟件數據分析系統或用於機器人和其他設備的控制系統上。然而，通過將基於模型的系統工程應用於人工智能，工程師可以設計依賴於基於人工智能的組件的複雜系統，從而實現更大、更複雜的智能系統，更成功地將人類和人工智能融合在一起。

《智能系統工程》依賴於巴克萊·布朗博士在軟件和系統工程領域的25年經驗，提出了一個整合的觀點，探討了利用人工智能創建更好的技術和商業系統所面臨的挑戰和機遇。儘管最近關於這一主題的研究主要集中在適應和改進算法和設備上，但本書提出了一個創新的想法，即將我們生活中的系統、社會和企業轉變為智能系統。本書的核心是如何將系統工程和系統思維與最新技術相結合，設計越來越智能的系統。

《智能系統工程》的讀者還將找到以下內容：
- 介紹人工智能、機器學習、基於模型的系統工程（MBSE）和系統思維等領域的基礎知識，這些是使系統更智能的關鍵學科
- 在試算表中構建深度神經網絡的示例，無需編程或專業數學知識
- 使用電影製作、故事講述、視覺系統設計和基於模型的系統工程技術的系統視覺化方法
- 分析計算機思考、理解和意識的潛在能力及其對人工智能的影響
- 提供更容易協作和溝通的工具，促進開發人員和工程師之間的更好理解，並實現更快的開發週期
- 對「人類系統」（僅由人組成，是我們組織、社區和社會的基礎）採用系統思維方法

《智能系統工程》提供了一種利用人工智能、機器學習、系統思維和系統建模使系統更智能的有趣新方法，因此對所有工程師和商業專業人士，特別是系統工程師，都具有重要意義。

Barclay R. Brown, PhD, is the Associate Director for Artificial Intelligence for Collins Aerospace, a division of Raytheon Technologies. Prior to that he was an Engineering Fellow in the missile systems division of Raytheon, and before that served as a Global Solution Architect for IBM, working with systems engineering and AI products. Dr. Brown has been a practitioner, consultant and speaker on artificial intelligence, systems engineering, and software development for over 25 years and holds degrees in electrical engineering, psychology, business, and systems engineering. He is a certified Expert Systems Engineering Professional and CIO of INCOSE, the International Council on Systems Engineering.

Barclay R. Brown, 博士，是雷神科技旗下Collins Aerospace的人工智慧副總監。在此之前，他曾是雷神公司導彈系統部門的工程研究員，並在IBM擔任全球解決方案架構師，負責系統工程和人工智慧產品。Brown博士在人工智慧、系統工程和軟體開發領域擁有超過25年的從業、顧問和演講經驗，並擁有電機工程、心理學、商業和系統工程學位。他是國際系統工程委員會（INCOSE）的認證專家系統工程師和CIO。