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商品描述
This book provides a complete introduction to Artificial Intelligence, covering foundational computational technologies, mathematical principles, philosophical considerations, and engineering disciplines essential for understanding AI. Artificial Intelligence: Principles and Practice emphasizes the interdisciplinary nature of AI, integrating insights from psychology, mathematics, neuroscience, and more. The book addresses limitations, ethical issues, and the future promise of AI, emphasizing the importance of ethical considerations in integrating AI into modern society. With a modular design, it offers flexibility for instructors and students to focus on specific components of AI, while also providing a holistic view of the field.
Taking a comprehensive but concise perspective on the major elements of the field; from historical background to design practices, ethical issues and more, Artificial Intelligence: Principles and Practice provides the foundations needed for undergraduate or graduate-level courses. The important design paradigms and approaches to AI are explained in a clear, easy-to-understand manner so that readers will be able to master the algorithms, processes, and methods described.
The principal intellectual and ethical foundations for creating artificially intelligent artifacts are presented in Parts I and VIII. Part I offers the philosophical, mathematical, and engineering basis for our current AI practice. Part VIII presents ethical concerns for the development and use of AI. Part VIII also discusses fundamental limiting factors in the development of AI technology as well as hints at AI's promising future. We recommended that PART I be used to introduce the AI discipline and that Part VIII be discussed after the AI practice materials. Parts II through VII present the three main paradigms of current AI practice: the symbol-based, the neural network or connectionist, and the probabilistic.
Generous use of examples throughout helps illustrate the concepts, and separate end-of-chapter exercises are included. Teaching resources include a solutions manual for the exercises, PowerPoint presentation, and implementations for the algorithms in the book.
商品描述(中文翻譯)
這本書提供了人工智慧的完整介紹，涵蓋了理解 AI 所需的基礎計算技術、數學原則、哲學考量和工程學科。《人工智慧：原則與實踐》強調了 AI 的跨學科特性，整合了心理學、數學、神經科學等領域的見解。該書探討了限制、倫理問題以及 AI 的未來潛力，強調在將 AI 整合進現代社會時倫理考量的重要性。書中採用模組化設計，為教師和學生提供了靈活性，以便專注於 AI 的特定組件，同時也提供了該領域的整體視角。
《人工智慧：原則與實踐》從全面但簡明的角度探討了該領域的主要元素；從歷史背景到設計實踐、倫理問題等，提供了本科或研究生課程所需的基礎。重要的設計範式和 AI 的方法以清晰易懂的方式解釋，使讀者能夠掌握所描述的演算法、過程和方法。
人工智慧人工製品的主要智識和倫理基礎在第一部分和第八部分中提出。第一部分提供了我們當前 AI 實踐的哲學、數學和工程基礎。第八部分則提出了 AI 開發和使用的倫理問題。第八部分還討論了 AI 技術發展中的基本限制因素，並暗示了 AI 的美好未來。我們建議將第一部分用於介紹 AI 學科，並在 AI 實踐材料之後討論第八部分。第二至第七部分介紹了當前 AI 實踐的三個主要範式：基於符號的、神經網絡或連結主義的，以及概率論的。
書中大量使用範例來幫助說明概念，並包含獨立的章末練習。教學資源包括練習的解答手冊、PowerPoint 簡報以及書中演算法的實作。
作者簡介
The National Science Foundation, NATO, the British Royal Society, NASA, the Smithsonian Institution, NIH, the Departments of Defense, Energy and Transportation, NIH, and other government agencies have supported George Luger's research. He has worked with the Los Alamos and Sandia National Laboratories and for numerous companies. Currently, his consulting is in the design of natural language web agents and deep learning technologies that analyze information in very large collections of data.
Dr. Luger is the author of Artificial Intelligence: Structures and Strategies for Complex Problem Solving (Addison-Wesley, 2009), now in its Sixth Edition, and Knowing Our World (Springer, 2021).
作者簡介(中文翻譯)
喬治·盧格（George Luger）是新墨西哥大學計算機科學的名譽教授。盧格博士同時也是心理學和語言學系的教授，這反映了他在認知科學和計算語言學方面的跨學科興趣。
美國國家科學基金會、北約、英國皇家學會、NASA、史密森學會、國家衛生研究院（NIH）、國防部、能源部和交通部等政府機構支持了喬治·盧格的研究。他曾與洛斯阿拉莫斯國家實驗室和桑迪亞國家實驗室合作，並為多家公司工作。目前，他的顧問工作專注於設計自然語言網路代理和深度學習技術，這些技術用於分析非常大數據集中的信息。
盧格博士是《人工智慧：複雜問題解決的結構與策略》（Artificial Intelligence: Structures and Strategies for Complex Problem Solving，亞迪森-韋斯利出版社，2009年，第六版）和《認識我們的世界》（Knowing Our World，斯普林格出版社，2021年）的作者。
