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

多代理系统。

你可以回到分布式人工智能的根源,我认为仍然可以安全地呆在80年代。

多智能体系统有很多组成部分,有很多研究涉及语言行为或合作,所以很难指出并说“看,这里,这是不同的,创新的和重要的!”但我还是会试试的。: -)

我认为信念-欲望-意图模型尤其值得注意。智能体在内部构建了世界的模型。他们有特定的愿望或目标,并制定计划,如何与他们所知道的世界互动,以实现这些目标,从而形成意图。

或者打个比方,电影《创》(Tron)中的角色对他们周围的世界是如何运作的有一定的了解。他们不了解整个世界,他们可能会对世界的某些部分产生误解。但他们有愿望和目标,他们提出了进一步实现目标的计划。如果你看过《创》,我相信你会有类似的感觉。

它还没有对计算机产生太大的影响。但是,你看,那些对计算机产生影响的东西似乎需要几十年的时间。参见:OOP, GC,字节码编译。

其他回答

I'd say the biggest trend is an ever increasing lack of location dependence and pervasiveness. An interesting philosophical exercise these days is to count the computers in you immediate area. They're everywhere desktops, keyboards, microwaves, radios, televisions, cell phones etc... My grandmother computer is illiterate however her life is as infested with small computers as everyone else's. She can make a call to me from the middle of an empty field. I can then answer that call zipping down the highway.

fpga是1980年以后发明的重大突破。

成功地将不同的编程范例集成到单一的编程环境中。

(对我来说)这方面的范例是Mozart/Oz编程系统,它将函数式、面向对象、逻辑、并发和分布式编程机制集成为一个连贯的整体。不过还有其他的例子。

电可擦可编程存储器,概括为非易失性读/写存储器,目前最著名和最普遍的是Flash。 http://en.wikipedia.org/wiki/EEPROM列出了这个发明于1984年。

通过赋予存储介质与处理单元相同的物理特性、功率要求、大小和稳定性,我们消除了在设计处理器位置时的限制因素。这扩大了我们如何以及在何处为如此多的智能设备(以及以前根本不被认为是智能的东西)赋予“智能”的可能性,以至于我们仍然被这股浪潮所吸引。Mp3播放器只是其中的一小部分。

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.