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本書作者湯姆.葛瑞菲斯(Tom Griffiths)是認知科學領域的權威學者,也是大數據暢銷經典《決斷的演算》(Algorithms to Live By)的共同作者,他領導普林斯頓大學「計算認知科學實驗室」,致力於把人類的思維模式轉化為有邏輯的數學模型。在這部新作中,葛瑞菲斯深入淺出地解說解構思維的三大路徑:規則與符號(rules and symbols)、類神經網路(neural networks),以及機率與統計(probability and statistics),不僅釐清了人類思維與演算法之間的關鍵差異,更進一步預言了科技的未來走向。
From the coauthor of Algorithms to Live By, an exploration of the quest to use mathematics to describe the ways we think, from its origins three hundred years ago to the ideas behind modern AI systems and the ways in which they still differ from human minds
Everyone has a basic understanding of how the physical world works. We learn about physics and chemistry in school, letting us explain the world around us in terms of concepts like force, acceleration, and gravity--the Laws of Nature. But we don’t have the same fluency with concepts needed to understand the world inside us--the Laws of Thought. While the story of how mathematics has been used to reveal the mysteries of the universe is familiar, the story of how it has been used to study the mind is not.
There is no one better to tell that story than Tom Griffiths, the head of Princeton’s AI Lab and a renowned expert in the field of cognitive science. In this groundbreaking book, he explains the three major approaches to formalizing thought--rules and symbols, neural networks, and probability and statistics--introducing each idea through the stories of the people behind it. As informed conversations about thought, language, and learning become ever more pressing in the age of AI, The Laws of Thought is an essential read for anyone interested in the future of technology.
Tom Griffiths is the Henry R. Luce Professor of Information Technology, Consciousness and Culture in the Departments of Psychology and Computer Science at Princeton University. He also directs Princeton’s Computational Cognitive Science Lab, a research group focused on understanding the mathematical foundations of human cognition, and the Princeton Laboratory for Artificial Intelligence, a new effort that supports innovative research efforts in AI and related fields. Griffiths is coauthor of the book Algorithms to Live By and has published over 400 academic papers in venues that include Science, Nature, and the Proceedings of the National Academy of Sciences.
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Clearing the Air: A Hopeful Guide to Solving Climate Change in 50 Questions and Answers
The Laws of Thought: The Quest for a Mathematical Theory of the Mind
The Oldest Rocks on Earth: A Search for the Origins of Our World
The Human Brain Book: A Visual Guide to the Structure and Function