The Book of Why
0
0
As an Amazon Associate and affiliate partner, Menrva Books earns from qualifying purchases. Learn more
Author Description
A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence “Correlation is not causation.” This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality–the study of cause and effect–on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl’s work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.
Menrva's Summary
THE THESIS
The Book of Why argues that understanding causality is fundamental to scientific progress and the future of artificial intelligence. Judea Pearl, a pioneer in the field, asserts that the traditional scientific avoidance of causal language, often summarized as "correlation is not causation," has been overcome by new frameworks. This book details how these advancements allow us to move beyond mere observation to understand cause-and-effect relationships, from simple everyday phenomena to complex medical questions. Ultimately, Pearl posits that grasping causality is key to unlocking the essence of human cognition and developing truly intelligent machines.
THE SCOPE MAP
- A historical overview of the scientific taboo against causal reasoning.
- Explanation of Judea Pearl's framework for causal inference.
- Methods for answering causal questions, from simple to complex.
- The role of causality in understanding human thought processes.
- The application of causal models to the development of artificial intelligence.
- Exploration of counterfactual reasoning and "what if" scenarios.
THE AUTHORITY PERSPECTIVE
The Book of Why is recognized as a seminal work that reintroduces and solidifies the study of causality within scientific discourse. Experts acknowledge its role in resolving long-standing confusions and establishing a rigorous foundation for understanding cause and effect. The book is lauded for its ability to tackle complex questions, from everyday observations to critical scientific inquiries, and its profound implications for artificial intelligence are widely discussed. It is considered essential reading for anyone seeking to comprehend the nature of scientific knowledge and the future of intelligent systems.
Page Count:
512
Publication Date:
2020-01-01
ISBN-10:
1541698967
ISBN-13:
9781541698963
Science
Non-Fiction
Causality
Statistics
Community Tags
Similar Books
