Stories
Slash Boxes
Comments

News for nerds, stuff that matters

Slashdot Log In

Log In

Create Account  |  Retrieve Password

Wolfram Promises Computing That Answers Questions

Posted by timothy on Sun Mar 08, 2009 05:56 PM
from the he's-feeling-lucky-you-feel-lucky-too dept.
An anonymous reader writes "Computer scientist Stephen Wolfram feels that he has put together at least the initial version of a computer that actually answers factual questions, a la Star Trek's ship computers. His version will be found on their Web-based application, Wolfram Alpha. What does this mean? Well, instead of returning links to pages that may (or may not) contain the answer to your questions, Wolfram will respond with the actual answer. Just imagine typing in 'How many bones are in the human body?' and getting the answer." Right now, though the search entry field is in place, Alpha is not yet generally available -- only "to a few select individuals."
+ -
story

Related Stories

[+] Developers: Cyc System Prepares to Take Over World 329 comments
Scotch Game writes: "The LA Times is running a story about the soon-to-be-even-more-famous Cyc knowledge base that has been created by Cycorp under the leadership of Douglas B. Lenat (bio here). It's a pop piece with little technical information, but it does have some enticing bits such as the suggestion that the Cyc system is developing a sense of itself. If you're not familiar with Cycorp and its goals then take a look. Of course, you should realize that this is, in fact, the system that will one day send Arnold Schwarzenegger back in time in order to kill a young pretty lass by the name of Sarah Connor. But for now the system is pre-sentient and pretty cool ..." See also OpenCyc.
[+] Developers: OpenCyc 1.0 Stutters Out of the Gates 195 comments
moterizer writes "After some 20 years of work and five years behind schedule, OpenCyc 1.0 was finally released last month. Once touted on these pages as "Prepared to take Over World", the upstart arrived without the fanfare that many watchers had anticipated — its release wasn't even heralded with so much as an announcement on the OpenCyc news page. For those who don't recall: "OpenCyc is the open source version of the Cyc technology, the world's largest and most complete general knowledge base and commonsense reasoning engine." The Cyc ontology "contains hundreds of thousands of terms, along with millions of assertions relating the terms to each other, forming an upper ontology whose domain is all of human consensus reality." So are these the fledgling footsteps of an emerging AI, or just the babbling beginnings of a bloated database?"
[+] Technology: A Look At the Wolfram Alpha "Search Engine" 216 comments
An anonymous reader points out a ReadWriteWeb piece on an hour-long demo of Wolfram|Alpha (which we discussed at its announcement). Stephen Wolfram does not like to call it a "search engine," preferring instead the term "computational knowledge engine." It will open to the public in May. "The hype around Wolfram|Alpha, the next 'Google killer' from the makers of Mathematica, has been building over the last few weeks. Today, we were lucky enough to attend a one-hour web demo with Stephen Wolfram, and from what we've seen, it definitely looks like it can live up to the hype — though, because it is so different from traditional search engines, it will definitely not be a 'Google killer.' According to Stephen Wolfram, the goal of Alpha is to give everyone access to expert knowledge and the data that a specialist would be able to compute from this information."
[+] Technology: Test Driving the Wolfram Alpha 124 comments
SilverMind writes in to note a blog entry at Byte Size Biology describing in detail a few hours spent with Wolfram Alpha (which we have discussed before). "After playing around with Wolfram Alpha for a few hours, I can safely say the following: it's different, it's incomplete, it's idiosyncratic, and it's funky cool. And no, it will not dethrone Google, nor does it aim to do so."
This discussion has been archived. No new comments can be posted.
The Fine Print: The following comments are owned by whoever posted them. We are not responsible for them in any way.
 Full
 Abbreviated
 Hidden
More
Loading... please wait.
  • How many bones (Score:5, Interesting)

    by icebike (68054) on Sunday March 08 2009, @06:01PM (#27115391)

    Q: How many bones are in the human body
    A: Did you mean cumulatively or at any point in time?

  • Simple: (Score:4, Funny)

    by kbrasee (1379057) on Sunday March 08 2009, @06:02PM (#27115395) Homepage
    package com.wolfram;

    public class Alpha {

        public static void main(String[] args) {
            System.out.println("42");
        }

    }
  • by SirLurksAlot (1169039) on Sunday March 08 2009, @06:04PM (#27115411)

    Been there, done that. [ask.com]

    All that is old is new again.

      • Re:Nope. (Score:5, Informative)

        by captainboogerhead (228216) on Sunday March 08 2009, @06:25PM (#27115585) Journal
        Actually, the original source, TechCrunch [techcrunch.com], not the dumbed down linked article, discusses in much better detail what Alpha is about.
      • Re:Nope. (Score:5, Insightful)

        by SirLurksAlot (1169039) on Sunday March 08 2009, @06:46PM (#27115785)

        It doesn't actually know anything.

        If you RTFA, you'll see that something entirely different is being discussed here. Alpha is supposed to actually answer the question because it knows a lot of facts, not because it's been programmed to look for certain phrases and respond with certain strings of text.

        Good points, but this is still just a different (better perhaps?) implementation of the same concept. The big issue with the implementation is that it will only "know" what you tell it, the same as any other computer. Further it will only be able to tell you about what you want to know based on the system's ability to parse your question and return what it "thinks" you want to know.

        Look, I'm not saying it isn't a cool idea, I'm just saying that it isn't as shiny and new as the creator would lead you to believe. I'm also not inclined to be impressed considering that it isn't even available to try yet. It hasn't even been released yet.

  • A.I. (Score:3, Informative)

    by unlametheweak (1102159) on Sunday March 08 2009, @06:04PM (#27115413)

    Google already does this. Type a question like "What is one plus one?" and you will get an answer. It's artificial intelligence.

    • Re:A.I. (Score:4, Interesting)

      by philgross (23409) on Sunday March 08 2009, @06:21PM (#27115549) Homepage
      It goes further than that. Try Googling "how old is Britney Spears" and "what is the population of iceland" (without quotes). The answer appears at the top, separately from the search results.
      • Re: (Score:3, Interesting)

        That seems to be hardcoded though, it already fails at "how old is Steve Jobs".

      • Re:A.I. (Score:5, Interesting)

        by dotancohen (1015143) on Sunday March 08 2009, @08:25PM (#27116591) Homepage

        It goes further than that. Try Googling "how old is Britney Spears" and "what is the population of iceland" (without quotes). The answer appears at the top, separately from the search results.

        Google them together, it returns your post!

  • by st0rmshad0w (412661) on Sunday March 08 2009, @06:22PM (#27115565)

    ...they only give you answers.

  • by fuzzyfuzzyfungus (1223518) on Sunday March 08 2009, @06:25PM (#27115591) Journal
    Wolfram seems to be his, er, original self as always. Isn't phrasing search results in the form of a question old news by now?
  • like this? (Score:3, Informative)

    by cvd6262 (180823) on Sunday March 08 2009, @06:31PM (#27115635)
  • by physicsphairy (720718) on Sunday March 08 2009, @06:32PM (#27115651) Homepage

    Trying to find mathematics/physics information is often pretty terrible. I mean, if you are just looking for a topic you can generally pull up related papers, but that is about the depth of complexity you are capable of searching for.

    Unfortunately there is no convenient (or universal) plaintext notation. If you are doing anything serious you probably use latex markup (e.g., \Psi^{*}\Psi) or something similar to render images of your equations. That's well and good for people who just want to read your paper, but for people who want to do a complex search to find very specific bits of contextual information, it is just about useless.

    So if I can hope that Wolfram's goal is to make his company's math and science knowledge base searchable by some sort of contextual framework, then that could be pretty awesome for those of us who would like to penetrate particular aspects of independent fields without having to become experts on the fields first.

  • Just Words (Score:3, Insightful)

    by prefec2 (875483) on Sunday March 08 2009, @06:53PM (#27115847)

    As long as they are not showing the tool to the public, I do not believe they build a system which promises that. However, there have been lots of research in this area and there are methods to convert queries into horn-clauses so you can query knowledge bases. I designed a method in my master thesis which does similar things, however it was laid out to be performed by humans.

    As ingredients for such a system you need
    - a knowledge base filled with facts (you can use OWL for it if you want or a rule based approach)
    - a reasoner (e.g. something like pellet)
    - a rule engine (e.g. something like Jess)
    - a method which understands simple English query sentences.

    The really hard part is the knowledge base, because it is lots of work. And an automated approach which can understand written documents and classify them correctly would be great, but I doubt that they found a solution for this problem.

    This problem includes:
    - How to handle uncertainty?
    - What to do with contradicting knowledge?
    - What to do with temporal aspects in that knowledge?

    However, if they built a tool which can answer question of one single domain of knowledge, this is nothing new. Such machines exist now for a long time. They can be helpful, but there is nothing exciting about them.

  • True Knowledge (Score:3, Interesting)

    by Sanity (1431) on Sunday March 08 2009, @07:09PM (#27115981) Homepage Journal
    True Knowledge [trueknowledge.com] have been doing this for over a year. Anyone can add facts to their database, and it will attempt to use those facts to infer answers to questions. Its actually very cool, although doesn't yet support such notions as uncertainty.
  • by Cylix (55374) on Sunday March 08 2009, @07:50PM (#27116325) Homepage Journal

    I'm not sure I really want to trust a product by Wolfram and Heart. Seems like there is a possibility of some soul loss.

  • by CAIMLAS (41445) on Sunday March 08 2009, @08:56PM (#27116811) Homepage

    Tools like this are decreasing the general ability of the population to research - resulting in a debt in 'comprehensive knowledge' on topics.

    Yes, tools like search engines enhance our ability to retrieve information faster than written documents such as manuals, dictionaries, and fiction, but they do not - 100% of the time, or even 80% of the time - lead us to the answers to complex questions directly. We are still required, as human beings, to read material, digest it, and often confer an answer.

    People will largely lose the ability to make (effective) decisions on their own, because the critical inputs for a good decision are usually both a broad and deep understanding of the topics at hand.

    Think of what kind of impact this would have on the overall problem solving ability of a population. Problem solving is often largely qualified by a person's ability to get a good picture of what the problem is. What do we do when a person can simply ask complex questions where a wealth of experience was previously required? Sure, this allows people to move on to do other things, but...

    When you make it so that your analytical people - the problem solvers and those who create new things - are made irrelevant by a technology, you as a society will stop evolving socially. No, it will not happen immediately. It will happen gradually, over the period of a generation. Consider the dearth between the research abilities of a previous generation, and those who are graduating college today. There is a substantial difference, and the ease in which information is acquirable today has had a lot to do with this shortcoming.

    • There is no need to fully parse natural languages (or to substitute them with made up languages you can parse...) in order to answer questions posed in natural languages. Indeed, one does not need to *understand* a question (in whatever AI meaning you want) in order to find its answer.
      • Re:Lojban (Score:4, Insightful)

        by goombah99 (560566) on Sunday March 08 2009, @06:24PM (#27115583)

        is the answer to this question "no"?

        If you want to answer a question without understanding the question then how do you know when the question can be answered?

          • You look for an answer until you find it or give up.

            Oh, so (i) you don't understand the question, then (ii) you look for an answer, (iii, A) you find it (how? how will you know you found it?), or (iii, B) you give up.

            Just wanted to make sure that this thread was really about this. Here's a new low, even for slashdot.

            • Re:Lojban (Score:5, Funny)

              by cryptoluddite (658517) on Sunday March 08 2009, @10:46PM (#27117583)

              You look for an answer until you find it or give up.

              Oh, so (i) you don't understand the question, then (ii) you look for an answer, (iii, A) you find it (how? how will you know you found it?)

              Once you have found the answer only then will you understand the question, grasshooper.

                  • Re:Lojban (Score:4, Insightful)

                    by tomhudson (43916) <hudsonNO@SPAMvideotron.ca> on Sunday March 08 2009, @08:11PM (#27116493) Journal

                    Don't sweat it ... these are the same people who believe that a computer can "think" about chess, instead of just searching through N number of plies in T time, then offering the best solution it has found in those constraints, without ever having to "understand" chess on any level.

                    This can be applied to ANY problem, provided you want to invest the design and testing time.

                    This whole question was answered decades ago (1970s) with the "foreigner in a sealed room" turing thought experiment. It showed that the person in the sealed room doesn't have to understand english, or even know the answer to questions, provided they are given some simple rules to link words together in a response depending on what words are in the original statement.

                    • Re:Lojban (Score:5, Insightful)

                      by shawnap (959909) on Sunday March 08 2009, @09:06PM (#27116873)

                      ... these are the same people who believe that a computer can "think" about chess, instead of just searching through N number of plies in T time, then offering the best solution it has found in those constraints...

                      Who says that this is insufficient for "thinking"?

                      I think understanding the Chinese room paradox as having provided a solution to this question is a misinterpretation. The best thing to take away is that "thinking" is not well defined.

                    • Re: (Score:3, Interesting)

                      The "thinking" can be reduced to a computing machine made out of tinkertoys, or punch-card readers. It requires no understanding, no "learning", no insight - just rote mechanical responses to inputs. That's not "thinking" any more than instinct is - it's just hard-wired responses.

                      The real question is "what is sufficient for thinking", and I believe the answer is pretty easy - free will. To those who argue against free will, then all thought is predetermined, and therefore mechanistic. But of course, t

                    • by TheCrazyMonkey (1003596) on Monday March 09 2009, @12:10AM (#27117993)

                      Also, until you can claim to solve the halting problem in real life (as opposed to a "theoretical device"), don't go around claiming that the brain is turing-complete. It isn't, and cannot be - not in this universe, anyway.

                      Of course the brain is turing complete. You can prove it the same way you prove any other machine is turing complete: it has the ability to simulate a turing machine. I can simulate a tape driven turing machine pretty damn easily with a sheet of paper and a pencil. I think you're confused as to what "turing-complete" means. Solving the halting problem is not a requirement. In fact, you can prove that a turing machine cannot solve the halting problem. So the brain's inability to do so doesn't have any bearing on whether it's turing complete.

                    • Re:Lojban (Score:5, Informative)

                      by znu (31198) <znu@acedsl.com> on Monday March 09 2009, @12:41AM (#27118141)

                      The Chinese Room is misdirection, pure and simple. We're supposed to conclude that because the person in the room doesn't have the subjective experience of understanding Chinese, the system as a whole (the person, the data tables, the rules) doesn't "really" understand Chinese.

                      But there's no logical reason to assume a specific part of the system should have a subjective experience of understanding something that the system as a whole understands. This becomes obvious if you follow the logic a few more steps. Do you believe each specific part of your brain subjectively experiences understanding? How about individual neurons? How about the atoms that comprise the neurons in your brain? If you don't believe these things have the subjective experience of understanding the things that your brain as a whole understands, then your brain is incapable of "really" understanding anything, according to the logic of the Chinese Room.

                    • Re:Lojban (Score:4, Interesting)

                      by SnowZero (92219) on Monday March 09 2009, @03:11AM (#27118725)

                      I have always hated Searle's Chinese room "paradox", since it is just playing a semantic game with the definition of the system. The claim that the person in the room doesn't understand things is no different from saying that a neuron doesn't understand things, or that 1/4 of my brain alone doesn't understand things. The "rules" in the box are part of the system, and I would claim that if it passes the test, the person+rules do demonstrate understanding. We have no evidence that human thought somehow transcends the model of executed rules anyway; at some level it is all chemistry and physics.

                      A modern example would be that my CPU (::person in box) doesn't know how to behave as a web browser. While true, my computer does know how to be a web browser when you add the software (::rules), and an input and output system (::box interface). The Chinese room paradox is just yanking out the CPU and saying that it doesn't know how to be a web browser. Nice trick.

                      The other thing the "paradox" does it to try to evoke imagery of a very simple ruleset because it is a person executing rules on paper, which would be very slow. The person executing paper rules is slow enough to have the computational power of a few neurons at best, while the brain has ~100 billion. So the equivalent rules in the paradox's imagined transformation would never fit in a room and could not be executed to completion by a person before their death. While it is supposed to be a thought experiment, the relative scale is so incredibly different that it makes imagining it difficult, and I wonder if it was chosen for that purpose. I will cut Searle some slack though, since Turing's guess about how much computing power needed to pass the Turing test was ridiculously low (~50 MB of storage), when compared to what we now know of human brain capabilities.

                      I think the appeal of the paradox is that deep down many people want to believe that we are qualitatively different from computers, rather than quantitatively so. As for me, I'm happy enough knowing that atop my shoulders sits a computer with more raw processing power than the largest supercomputer, with rules/programming far beyond anything we can create now, or perhaps for hundreds of years.

                    • by Thiez (1281866) on Monday March 09 2009, @05:58AM (#27119397)

                      > Also, until you can claim to solve the halting problem in real life (as opposed to a "theoretical device"), don't go around claiming that the brain is turing-complete. It isn't, and cannot be - not in this universe, anyway.

                      The halting problem is undecidable over Turing machines. Claiming 'the brain is not turing-complete because it cannot solve the halting problem' makes no sense.

          • Re:Lojban (Score:4, Interesting)

            by fractoid (1076465) on Sunday March 08 2009, @07:30PM (#27116179) Homepage
            To my mind, any reasonable definition of understanding a subject includes the ability to reason based on information about the subject. In the case of a question, this would include the ability to say, at the very least, whether a given answer is a correct answer for the question.

            From this, we can see that if we can build a reasoning engine that can determine if a given answer is correct for a question, hypothetically we can iterate over a large set of answers and apply our filter to each one. This provides us with a machine to answer questions (although depending on the size of the set of answers, "I don't know" might be a frequent response) which (by my definition, at least) 'understands' the question.
            • Moreso, I'd argue that true reasoning would be the ability to provide a factual answer to a subjective question.

              For example, "Does food taste good?"

              The machine would have to take into account the vast bits of information at it's disposal. For example, found statements like 'This food tastes good' and 'this food does not taste good', would both have to be considered and then qualifiers added to the answer to make it correct, such as 'Some food tastes good'.

              Otherwise, it's just fancy regurgitation of facts u

    • Re:Lojban (Score:5, Funny)

      by gardyloo (512791) on Sunday March 08 2009, @06:17PM (#27115523)

      I don't think this can be examined without language issues. Lojban attempts to make a parsable constructed language (currently undergoing a few grammar issues, but mostly locked down). As we get closer to the Singularity, with regards to infant-style general AI and perhaps even transhuman implants (thought detector or such), we'll see perhaps a myriad of unambiguous languages.

      Your cautiousness and pragmatism in the first two sentences was noted and admired. Then you used the word Singularity in the Vinge sense, and my woo-detector pegged.

    • Re:Lojban (Score:4, Interesting)

      by dkf (304284) <donal.k.fellows@manchester.ac.uk> on Sunday March 08 2009, @06:18PM (#27115527) Homepage

      I don't think this can be examined without language issues. Lojban attempts to make a parsable constructed language (currently undergoing a few grammar issues, but mostly locked down). As we get closer to the Singularity, with regards to infant-style general AI and perhaps even transhuman implants (thought detector or such), we'll see perhaps a myriad of unambiguous languages.

      Any language that is truly unambiguous is uninteresting. Firstly, you've got Goedel incompleteness to worry about (which stems from statements that are fundamentally ambiguous as to their interpretation, such as "this statement is false"). Secondly, languages are there for people to communicate with, and people seem to prefer ambiguity. Ask a poet if you need proof of that.

      • Firstly, you've got Goedel incompleteness to worry about (which stems from statements that are fundamentally ambiguous as to their interpretation, such as "this statement is false"). Secondly, languages are there for people to communicate with, and people seem to prefer ambiguity

        What exactly does Godel's theorem have to do with what you just said? The incompleteness theorem deals with axiomatized systems. This leads me to think that you might be confusing the popular meaning of "language" with the mathematical definition. People (at least normal people) do not communicate with mathematical languages.

    • by AliasMarlowe (1042386) on Sunday March 08 2009, @06:18PM (#27115531) Journal
      Either:
      1. Windows version of program crashes without answering
      2. Mac version of program says "after your next question, smartass"
      3. Linux version of program says never, 'cos it can't even drive a car
    • "will you answer no to this question?" kernel panic
      • Re:Lojban (Score:4, Interesting)

        by HiThere (15173) <charleshixsn@ear ... t ['hli' in gap]> on Sunday March 08 2009, @07:09PM (#27115977)

        Are you limited to yes/no answers?

        Why are people presuming that the program will be limited to yes/no answers?
        Q: Will you answer no to this question?
        A: It's rather unlikely.

        (Or, "I doubt it" or any of several different answers.)

        There are enough legitimate paradoxes that you don't need to construct such obvious losers.

        How about:
        Is "This statement is false." false?

        It's still easy enough to handle (in several different ways), but at least it's a valid challenge.

        • Why are people presuming that the program will be limited to yes/no answers? Q: Will you answer no to this question? A: It's rather unlikely. (Or, "I doubt it" or any of several different answers.)

          Q: What made you think it's rather unlikely? kernel panic