Foundation, Architecture, and Prototyping of Humanized AI: A New Constructivist Approach

Chang, Mark

Foundation, Architecture, and Prototyping of Humanized AI: A New Constructivist Approach
  • 出版商: CRC
  • 出版日期: 2023-07-31
  • 售價: $4,140
  • 貴賓價: 9.5 折 $3,933
  • 語言: 英文
  • 頁數: 372
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032491574
  • ISBN-13: 9781032491578

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Humanized AI (HAI), emerging as the next of the AI waves, refers to artificial social beings that are very close to humans in various aspects, beings who are machine-race humans, not digital slaves. Foundation, Architecture, and Prototyping of HAI deploy a novel smalldata approach to vertically explore the spectrum of HAI.

Different from the popular big-data philosophy that is based on the rigid notion that the connotation of each concept is fixed and the same to everyone, this book treats understanding as a process from simple to complex, and uses the similarity principle to effectively deal with novelties. Combining the efficiency of the Behaviorists' goal-driven approach and the flexibility of a Constructivists' approach, both the architecture of HAI and the philosophical discussions arising from it are elaborated upon.

Advancing a unique approach to the concept of HAI, this book appeals to professors and students of both AI and philosophy, as well as industry professionals looking to stay at the forefront of developments within the field.

商品描述(中文翻譯)

人性化人工智慧（HAI）作為下一波人工智慧浪潮的新興領域，指的是在各個方面與人類非常接近的人工社會存在，這些存在是機器種族的人類，而不是數位奴隸。《HAI的基礎、架構和原型》採用了一種新穎的小數據方法來垂直探索HAI的範譜。

與基於僵化觀念，認為每個概念的內涵是固定且相同的大數據哲學不同，本書將理解視為從簡單到複雜的過程，並使用相似性原則有效處理新奇事物。結合行為主義者目標驅動方法的效率和建構主義者方法的靈活性，對HAI的架構和由此引發的哲學討論進行了詳細闡述。

本書提出了一種獨特的HAI概念方法，適合AI和哲學的教授和學生以及希望保持在該領域發展前沿的行業專業人士。

作者簡介

Mark Chang is the executive director of biostatistics and data management at AMAG Pharmaceuticals and an adjunct professor at Boston University. A fellow of the American Statistical Association, Dr. Chang is a co-founder of the International Society for Biopharmaceutical Statistics and serves on the editorial boards of two statistical journals. He has authored many publications, including Adaptive Design Theory and Implementation Using SAS and R and Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies.

作者簡介(中文翻譯)

Mark Chang是AMAG Pharmaceuticals的生物統計和數據管理執行董事，也是波士頓大學的兼職教授。作為美國統計協會的會士，Chang博士是國際生物製藥統計學會的共同創始人，並擔任兩個統計期刊的編輯委員會成員。他撰寫了許多著作，包括使用SAS和R的自適應設計理論和實施，以及藥品行業的蒙特卡羅模擬：概念、算法和案例研究。

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