For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence?
Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world-not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important qu...
For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence?
Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world-not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought.
A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word.
作者简介
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Jeff Hawkins is the cofounder of Numenta, a neuroscience research company; founder of the Redwood Neuroscience Institute; and one of the founders of the field of handheld computing. He is a member of the National Academy of Engineering and author of On Intelligence.
Knowledge in the brain is distributed. Nothing we know is stored in one place, such as one cell or one column.
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This is why we call it the Thousand Brains Theory: knowledge of any particular item is distributed among thousands of complementary models. (查看原文)
I believe the future of AI will be based on brain principles. Truly intelligent machines, AGI, will learn models of the world using maplike reference frames just like the neocortex. (查看原文)
幸亏有像Musk和Hawkins这样的执着求知,愚蠢和野蛮才不会阻挡人类前进的脚步。Hawkins是Palm的创始人,但一生痴迷的是深入理解新皮质neocortex。他提出颠覆性的framework ,继而通过反向工程新皮质和思维模式来创立全面人工智能(Artificial General Intelligence),而不只是单...
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0 有用 skymonkey 2021-12-29 12:13:36
断断续续读完。前半是科普脑科学和认知学科一些研究成果,试图给AI找一条新路;后半部是卡尔萨根附体。可以一读。
5 有用 optman 2021-11-19 20:22:51
又找到了当年读《On Intelligence》的感觉,醍醐灌顶拍案叫绝。大脑皮层为每个认识的物体都建立了地图,从视觉和触觉等等方面,所以我们可以定位和预测下一步的感觉。不仅是三维物体,也包括抽象概念,都是基于同样的原理,通过神经连接,建立地图,从而形成对外部世界的模型。这个模型会随着实践结果不断修正,所谓学习。人会羡慕嫉妒恨,完全是因为古脑的存在,因为后者是为了基因存续而进化出来的。如果是单纯的... 又找到了当年读《On Intelligence》的感觉,醍醐灌顶拍案叫绝。大脑皮层为每个认识的物体都建立了地图,从视觉和触觉等等方面,所以我们可以定位和预测下一步的感觉。不仅是三维物体,也包括抽象概念,都是基于同样的原理,通过神经连接,建立地图,从而形成对外部世界的模型。这个模型会随着实践结果不断修正,所谓学习。人会羡慕嫉妒恨,完全是因为古脑的存在,因为后者是为了基因存续而进化出来的。如果是单纯的新脑皮层形成的智能,根本无所谓目标和与欲望,不会追求繁衍也不会害怕死亡。对当前流行的超级人工智能威胁论,作者也进行了自己的反驳。最后,也对人类存在的意义,如何为遥远的未来提供“我曾经来过”的证据。其中一段,如果能够复制大脑,将会产生怎样的奇怪后果,我自己也有想过,有意思! (展开)
0 有用 SWX 2023-02-15 12:40:07 北京
看到一般还觉得不以为然,觉得作者对大脑的复杂度准备不够,有点锤子看到一切都是钉子的路线,作者试图用他寻找到的那个“通用算法”去解释一切,全然不顾逻辑全是洞洞,结果查了一下才发现作者竟然是Palm的创建者,立刻从不懈变成respect...
3 有用 你时髦大爷来了 2021-10-27 09:36:03
像是有位大叔在你耳边絮絮叨叨,前半部分可反复读,后面提到ethical部分稍有拉垮
0 有用 恍若隔世 2023-01-08 05:46:06 美国
说实话这个书的前两个部分我大概都是有所了解的。但是我觉得第三个部分非常的新颖。我之前从来没有想到为什么人类必须要通过机器来获得永生。但是我现在终于找到了一个适当的理由。因为人类曾经是自己基因的奴隶,但是人类现在有了自我的意识以后,有了能力以后不一定要完全作为基因的奴隶。在哈拉雷的未来简史中他也提到了,人们的终极的能力其实就是处理信息的能力。这个东西不一定和基因是相关的。