How Smart Machines Think (The MIT Press)

Sean Gerrish

  • 出版商: MIT
  • 出版日期: 2018-10-30
  • 售價: $962
  • 貴賓價: 9.5$914
  • 語言: 英文
  • 頁數: 312
  • 裝訂: Hardcover
  • ISBN: 0262038404
  • ISBN-13: 9780262038409
  • 相關分類: 人工智慧
  • 立即出貨(限量) (庫存=1)

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商品描述

Everything you've always wanted to know about self-driving cars, Netflix recommendations, IBM's Watson, and video game-playing computer programs.

The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM's Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these thingswork? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today's machines so smart.

Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world―and to play Atari video games better than humans. He explains Watson's famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution―at least for now.

Gerrish weaves the stories behind these breakthroughs into the narrative, introducing readers to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people.

商品描述(中文翻譯)

這是一本關於自駕車、Netflix推薦、IBM的Watson和電腦程式玩家的書籍,涵蓋了你一直想知道的一切。

未來已經來臨:自駕車在街上行駛,演算法為你提供電影和電視節目的推薦,IBM的Watson在《危險邊緣》節目中戰勝了微不足道的人類大腦,電腦程式可以被訓練來玩Atari遊戲。但是,所有這些事情是如何運作的呢?在這本書中,Sean Gerrish提供了一個引人入勝且易於理解的人工智慧和機器學習突破的概述,這些突破使得今天的機器如此聰明。

Gerrish概述了一些關鍵的想法,使智能機器能夠感知和與世界互動。他描述了軟體架構,使得自駕車能夠保持在道路上並在擁擠的城市環境中導航;百萬美元的Netflix競賽旨在打造更好的推薦引擎(結果出人意料);以及程序員如何通過給予獎勵來訓練電腦執行某些行為,就像訓練狗一樣。他解釋了人工神經網絡如何使電腦感知世界,並在Atari視頻遊戲中比人類玩得更好。他解釋了Watson在《危險邊緣》節目中的著名勝利,並介紹了AlphaGo和Deep Blue,它們在圍棋和國際象棋等策略遊戲中擊敗了現任世界冠軍。然而,電腦還沒有完全掌握一切;Gerrish概述了創建能夠成功玩像《星海爭霸》這樣的視頻遊戲的智能代理的困難,至少目前還沒有找到解決方法。

Gerrish將這些突破背後的故事融入敘述中,介紹了許多參與其中的研究人員,並將技術細節降到最低。科學和技術愛好者將會發現這本書是一本對機器能夠超越人類的未來的必備指南。