- 产品详情
- 产品参数
- 产品评论
图灵奖得主、人工智能先驱、贝叶斯网络之父Judea Pearl发表的著作The Book of Why，一经推出就引起广泛关注，其中提出了和当前主流人工智能理论不同的观点，认为当前的AI深陷于概率关联的泥潭，而忽略了因果关系的研究。
身为 UCLA 计算机科学系的教授，Judea Pearl曾两次居于科学革命的中心：一次是在 20 世纪 80 年代，他为人工智能引入了一套新的工具，叫贝叶斯网络。二次革命，鉴于贝叶斯网络在计算上的优势，Pearl意识到简单的图模型和概率论（正如贝叶斯网络中的那样）也能用于因果关系的推理。这一发现为人工智能的发展奠定了另一个基础，但意义远非如此，这一能验证因果关系的、条理性的数学方法，几乎已经被所有科学和社会科学领域采用。
这次的著作就是为了向大众解释，对于人工智能的理解，不仅仅是局限于使机器建立关联概念，更重要的是发展因果逻辑推理的能力，从而让机器真正拥有思考力，甚至实现自由意志。
'Wonderful ... Illuminating ... Fun to read' Daniel Kahneman, author of Thinking, Fast and Slow
A pioneer of artificial intelligence shows how the study of causality revolutionized science and the world
'Correlation does not imply causation.' This mantra was invoked by scientists for decades in order to avoid taking positions as to whether one thing caused another, such as smoking and cancer and carbon dioxide and global warming. But today, that taboo is dead. The causal revolution, sparked by world-renowned computer scientist Judea Pearl and his colleagues, has cut through a century of confusion and placed cause and effect on a firm scientific basis. Now, Pearl and science journalist Dana Mackenzie explain causal thinking to general readers for the first time, showing how it allows us to explore the world that is and the worlds that could have been. It is the essence of human and artificial intelligence. And just as Pearl's discoveries have enabled machines to think better, The Book of Why explains how we can think better.
