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Critical Thinking and Creative Analogies in Statistics, Science, and Technology: Essential Skills for the AI Era [Mīkstie vāki]

(Boston University, USA)
  • Formāts: Paperback / softback, 352 pages, height x width: 234x156 mm, 2 Tables, black and white; 32 Line drawings, color; 6 Line drawings, black and white; 37 Halftones, color; 3 Halftones, black and white; 69 Illustrations, color; 9 Illustrations, black and white
  • Izdošanas datums: 30-Sep-2025
  • Izdevniecība: CRC Press
  • ISBN-10: 1041043821
  • ISBN-13: 9781041043829
Citas grāmatas par šo tēmu:
  • Formāts: Paperback / softback, 352 pages, height x width: 234x156 mm, 2 Tables, black and white; 32 Line drawings, color; 6 Line drawings, black and white; 37 Halftones, color; 3 Halftones, black and white; 69 Illustrations, color; 9 Illustrations, black and white
  • Izdošanas datums: 30-Sep-2025
  • Izdevniecība: CRC Press
  • ISBN-10: 1041043821
  • ISBN-13: 9781041043829
Citas grāmatas par šo tēmu:

Through the lens of critical thinking and creative analogy, this book skillfully blends mainstream perspectives with bold, thought-provoking personal insights, offering readers a fresh and engaging perspective on complex topics. By leveraging critical thinking, creative analogies, and practical examples from statistics, medicine, socioeconomics, education, and technology, it bridges the gap between abstract theory and real-world applications.

Each chapter is concise and impactful, cutting straight to the essence of the subject. Thought experiments and vivid examples illuminate key concepts, making them both accessible and actionable. Whether you're seeking clarity, inspiration, or a deeper understanding, this book delivers powerful, thought-provoking content that will leave a lasting impression.

Key Features

  • A harmonious balance of mainstream views and provocative personal insights.

  • Creative analogies paired with practical examples from medicine and other fields.

  • Concise, clear, and practical chapters that focus on core ideas, enriched with thought experiments and real-world applications.

  • A progressive approach, moving from simple daily decision-making to the development of integrated, humanized AI.

  • Chapter exercises designed to reinforce concepts through hands-on practice.



Through the lens of critical thinking and creative analogy, this book skillfully blends mainstream perspectives with bold, thought-provoking personal insights, offering readers a fresh and engaging perspective on complex topics.

Chapter 01 Inventive Connections: A Journey Through Analogies

Chapter 02 The Golden Point for Decision-Making

Chapter 03 The Art of Randomization

Chapter 04 An Anti-Polarization Political System Inspired by the
Play-the-Winner Strategy

Chapter 05 Clinical Trial Design and Development: Insights from Game Theory
and Stochastic Processes

Chapter 06 Enhancing Productivity and Economic Growth Through Paradoxical
Insights

Chapter 07 Identifying Biases via Critical Thinking

Chapter 08 Interesting Yet Challenging in Statistical Modeling

Chapter 09 Dimensional Analysis Assisted Statistical Modeling

Chapter 10 Recursive Functions as Self-Referencing Analogies

Chapter 11 Creative Data Visualization

Chapter 12 From Brownian Motion to Unified Models: Bridging Scales and
Disciplines

Chapter 13 Quantum Computing Explained via Analogies

Chapter 14 Dual Forces: Evolution, Devolution, and Feedback Systems

Chapter 15 What Constitutes Science and Scientific Evidence?

Chapter 16 The Similarity Principle

Chapter 17 iWordnet and the Connotation of Understanding

Chapter 18 Analogy in Artificial Intelligence

Chapter 19 Analogy-Made Humanized AI

Chapter 20 Education Shifts and Futuristic Society in the AI Age
Mark Chang, PhD, is the founder of AGInception and an adjunct professor of Biostatistics at Boston University. He is an elected fellow of the American Statistical Association, a co-founder of the International Society for Biopharmaceutical Statistics. He previously held various positions in pharmaceutical companies, including Scientific Fellow, executive Director, and Senior Vice President. He is an adaptive design expert and has extensive knowledge in AI for clinical trials. He has published 14 books on artificial intelligence & machine learning, adaptive clinical trial designs, modern issues and methods in biostatistics, paradoxes in scientific inference, and principles of scientific methods