Keynote3: Contention and disruption

R. Susskind
{"title":"Keynote3: Contention and disruption","authors":"R. Susskind","doi":"10.1109/taai.2016.7880106","DOIUrl":null,"url":null,"abstract":"The development of science is clear. From 1950 to 1990 we lived in a world of Contention, with as main question: Will Contention between Paradigms lead to a Paradigm Shift? This development is nicely described by Popper (Logic of Scientific Discovery), Kuhn (The Structure of Scientific Revolutions), Lakatos (The Methodology of Scientific Research Programmes), and Feyerabend (Against Method). In the world of Games, this development is seen in the transition from Minimax to Monte Carlo Tree Search (MCTS). Apparently, the successor of Contention is called Disruption. Currently, we live in a world full of disruptions (1990–2030). In the lecture, I will show the current development by Daniel Dennett (Consciousness Explained, 1990), Richard Susskind (The Future of Law, 1998), Nick Bostron (Superintelligence, 2014), and my own thoughts on Intuition is Programmable (Van den Herik, 2016). The latter is extremely well identified by the power of Deep Learning in the Game of Go (congratulations to Aja Huang). Around 2030 we may expect to see a quantum computer in operation. It will not only produce prime numbers, but also give us the solution of the game of chess (draw or a win for White), and thereafter even for Go (i.e., at a later date). Next to game results, we will observe a continuous development: from decisions made by humans to decisions made by computers. Here, moral constraints are important. Examples will be given.","PeriodicalId":159858,"journal":{"name":"2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI)","volume":"1997 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/taai.2016.7880106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The development of science is clear. From 1950 to 1990 we lived in a world of Contention, with as main question: Will Contention between Paradigms lead to a Paradigm Shift? This development is nicely described by Popper (Logic of Scientific Discovery), Kuhn (The Structure of Scientific Revolutions), Lakatos (The Methodology of Scientific Research Programmes), and Feyerabend (Against Method). In the world of Games, this development is seen in the transition from Minimax to Monte Carlo Tree Search (MCTS). Apparently, the successor of Contention is called Disruption. Currently, we live in a world full of disruptions (1990–2030). In the lecture, I will show the current development by Daniel Dennett (Consciousness Explained, 1990), Richard Susskind (The Future of Law, 1998), Nick Bostron (Superintelligence, 2014), and my own thoughts on Intuition is Programmable (Van den Herik, 2016). The latter is extremely well identified by the power of Deep Learning in the Game of Go (congratulations to Aja Huang). Around 2030 we may expect to see a quantum computer in operation. It will not only produce prime numbers, but also give us the solution of the game of chess (draw or a win for White), and thereafter even for Go (i.e., at a later date). Next to game results, we will observe a continuous development: from decisions made by humans to decisions made by computers. Here, moral constraints are important. Examples will be given.
主题3:竞争与颠覆
科学的发展是明确的。从1950年到1990年,我们生活在一个争论的世界里,主要问题是:范式之间的争论会导致范式的转变吗?波普尔(《科学发现的逻辑》)、库恩(《科学革命的结构》)、拉卡托斯(《科学研究计划的方法论》)和费耶阿本德(《反对方法》)很好地描述了这一发展。在游戏世界中,这种发展体现在从极大极小到蒙特卡洛树搜索(MCTS)的过渡中。显然,“争夺”的继任者被称为“破坏”。目前,我们生活在一个充满混乱的世界(1990-2030)。在讲座中,我将展示Daniel Dennett(《意识解释》,1990年)、Richard Susskind(《法律的未来》,1998年)、Nick Bostron(《超级智能》,2014年)和我自己对直觉是可编程的(Van den Herik, 2016年)的看法。后者在围棋游戏中的深度学习能力中得到了很好的体现(祝贺Aja Huang)。2030年左右,我们可能会看到量子计算机投入使用。它不仅会产生质数,而且还会给我们提供国际象棋的解决方案(白棋平局或获胜),甚至是围棋的解决方案(即,在稍后的日期)。在比赛结果的旁边,我们将看到一个持续的发展:从人类的决策到计算机的决策。在这里,道德约束很重要。将给出例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信