这个问题来自于对过去50年左右计算领域各种进展的评论。

其他一些与会者请我把这个问题作为一个问题向整个论坛提出。

这里的基本思想不是抨击事物的现状,而是试图理解提出基本新思想和原则的过程。

我认为我们在大多数计算领域都需要真正的新想法,我想知道最近已经完成的任何重要而有力的想法。如果我们真的找不到他们,那么我们应该问“为什么?”和“我们应该做什么?”


当前回答

声明性编程。

1979年,“计算机程序”势在必行。程序员应该指导编译器做什么和怎么做。(N1)

今天,ASP。NET WebForms和WPF程序员经常在不知道或不关心它将如何实现的情况下编写代码。维基百科还有其他不那么主流的例子。此外,所有sgml派生的“标记”语言都是声明性的,我怀疑1979年的许多程序员是否能预测到它们在30年后的重要性或普遍性。

尽管声明式编程的概念在1980年之前就存在了(参见这篇1975年的论文),但它的发明是在1985年Caml的引入(有争议)或1990年Haskell的引入(争议较少)时出现的。从那时起,声明式编程越来越受欢迎。而且,当大规模多核处理器最终到来时,我们都将成为声明式程序员。

-- 注: 我不能直接证明这一点,因为1979年我还是个胎儿。 从其他答案来看,人们似乎混淆了概念和发明。达·芬奇构想了直升机,但他没有发明它。这个问题是关于计算机发明的。 请不要在评论中提到Prolog (rel. 1975),除非你真的用它开发了一个应用程序。

其他回答

当然,1980年以前是施乐PARC的辉煌时期。在图形用户界面、鼠标、激光打印机、互联网和个人电脑刚刚诞生的时候。(鉴于我太年轻了,不可能活在那个年代,而你几乎在努力发明所有这些东西,关于1980年的事情,我不能告诉你任何你不知道的事情,所以我们继续吧。)

The thing is, though, that the pre-1980 days were a lot more vibrant in terms of truly disruptive new technologies. That's the way it is with any new field -- hwo many game-changing technology advances have you seen in railroads in the past 100 years? How many have you seen in lightbulbs? In the printing press? Once something ignites a hype in the right circles, there is an explosive period of invention, followed by a long period of maturing. After that, you're not going to see the same kind of completely radical changes again UNLESS the basic circumstances change.

幸运的是,这可能会发生在一些领域,而且已经发生在其他一些领域:

Mobility - smart phones bring computing to a truly portable platform, which will soon include location-based services and proximity-based ad-hoc networks. It's a completely new paradigm that's potentially as game-changing as the GUI has been The WWW (HTTP, HTML and DNS) has already been mentioned and is an obvious addition to the list, since it is enabling global, inexpensive, mainstream rich communication across the globe - all thanks to a computing platform On the interface side, both touch, multitouch (Jeff Han comes to mind) and the Wiimote need mentioning. Currently, they are basically curiosities, but so were the early GUIs. OOP design patterns -- higher level solutions as best practices to hard problems. Depending on your definition of 'computing', it may or may not belong on the list, but if you count OOP as a significant advance pre-1980 (I certainly do), I think design patterns and the GoF deserve a mention too Google's PageRank and MapReduce algorithms - I am pleased to notice I wasn't the first to mention them, and seriously --- where would the world be without the principles of both of them? I vividly remember what the world looked like before them, and suffice it to say Google really IS my friend. Non-volatile memory -- it's on the hardware side, but it is going to play a significant role in the future of computing - making bootup times a thing of the past, for example, and enabling us to use computers in entirely new ways Semantic (natural language) search / analysis / classification / translation... We're not quite there yet, but companies like Powerset give the impression that we're on the brink. On that note, intelligent HTMs should be on this list as well. I am yet another believer in Jeff Hawkins' model and approach, and if it works, it will mean a complete redefinition of what computers can do, what it means to be human, and where the world can go from here. Creating a real intelligence in that way (synthetically) would be bigger than anything the human race has accomplished before. GNU + Linux 3D printing / rapid prototyping (and, in time, manufacturing) P2P (which also lead to VoIP etc.) E-ink, once the technologies mature a bit more RFID might belong on the list, but the verdict is still out on that one Quantum Computing is the most obvious element on the list, except we still haven't been able to get enough qubits to play along. However, my friends in the field tell me there's incredible progress going on even as we speak, so I'm holding my breath for that one. And finally, I want to mention a personal favourite: distributed intelligence, or its other name: artificial artificial intelligence. The idea of connecting a huge number of people in a network and allowing them access to the combined minds of everyone else through some form of question answering interface. It's been done a number of times recently, with Yahoo Answers, Askville, Amazon Mechanical Turk, and so on, but in my mind, those are all missing the mark by a LOT... much like the many implementations of distributed hypertext that came before Tim Berners-Lee's HTML, or the many web crawlers before Google. Seriously -- someone needs to build an search interface into 'the hive mind' to blow everyone else out of the water. IMHO - it is only a matter of time.

个人广播通信

Facebook、Twitter、Buzz、柴酷……实现是不同的,侧重于不同的方面-管理受众,简洁性,讨论。特定的服务来来去去,但新的通信概念仍然存在。博客当然是这一切的开端,但新的服务使交流变得具有社会性,这是一个本质的区别。

虽然不太确定这是否属于计算的范畴,但这是很重要的,只有通过计算和网络才能实现。

u盘/ u盘

USB key是软盘的有效替代品,软盘在简单传输方面仍然优于CD或DVD。

Open Croquet http://www.opencroquet.org -一个吱吱声,基于smalltalk的3D环境,允许多个用户从内部交互和编程环境。它有自己的对象复制协议,用于在互联网上高效和可扩展地共享环境。**这很难描述,因为没有任何东西能像它一样……

1)我提出这个建议是因为当我试图向别人解释它是什么时,我发现他们希望我把它与其他东西进行比较……我还没有发现任何类似的东西,尽管有许多来自其他系统的元素(例如Smalltalk, Open GL, etoys,虚拟世界,远程协作,面向对象的复制架构),整体似乎远远超过部分…

2)不像这里提到的许多技术,它还没有成为一个广泛开发的商业利基市场……

这两点都是这项技术处于早期阶段的迹象。

我怀疑,当艾伦·凯开始研究这个问题时,他可能首先就考虑过这个问题的主题。

http://www.onlisareinsradar.com/archives/001281.php

运动传感器在游戏中的兴起,使传统的游戏操纵杆消失,让用户非常接近游戏本身。这与我们不断变化的城市景观和生活方式相辅相成,因为我们的身体活动有限。游戏的发展肯定会让人在做喜欢的事情时至少进行一些体育活动。这绝对比在健身房做同样单调的练习要好。