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Groups > comp.programming > #1482
| From | seeWebInstead@rem.intarweb.org (Robert Maas, http://tinyurl.com/uh3t) |
|---|---|
| Newsgroups | comp.ai.philosophy, comp.programming |
| Subject | Re: Towards true A.I. |
| References | (1 earlier) <fel5lca22zs2.15zo4xugynh4h$.dlg@40tude.net> <REM-2011nov13-005@Yahoo.Com> <1d202j8607dz7.dgimh8xoxlwo$.dlg@40tude.net> <REM-2012mar27-003@Yahoo.Com> <1jwvj1x0ayc05.ytcz87k1p1x4.dlg@40tude.net> |
| Message-ID | <REM-2012apr17-001@Yahoo.Com> (permalink) |
| Date | 2012-04-17 21:57 -0700 |
Cross-posted to 2 groups.
REM> I'm leaning toward the view that there's no such thing as REM> "general intelligence", that what we appreciate in humans (and REM> to a lesser degree in other great apes, cetaceans, REM> cephalopods, and some birds), and what we thus try to measure REM> in IQ tests, isn't a single "general intelligence", but rather REM> a hodge podge of specialized types of cognitive skills. > From: "Dmitry A. Kazakov" <mail...@dmitry-kazakov.de> > OK, call it "cognitive skills," what changed? We can try to list most/all of those particular kinds of skills, and then use them to define what we will call "intelligence" during the rest of this discussion, instead of begging the question by saying "I can't define intelligence but nevertheless I can decide who has it and who doesn't just from my intuition, and everyone else had better agree what is and what is not intelligence or I'll act like any such disagreer is stupid". > There is a minimal set of skills required to be intelligent. SInce "intelligent" hasn't been defined up to this point, I presume this is a skeleton of a definition of "intelligent"? > That tells something about the way intelligence is built (a > disparate set of skills?), Most likely a set of low-level skills plus a set of skills that coordinate the low-level skills. Perhaps a heirarchy that has more than of two bottom-up levels. > but nothing about how these skills function and what is required > for them to work. Right. First we state what we mean by "intelligent" or "intelligence", i.e. how we would test whether a being is or is not intelligent, whether a being has or has not intelligence. Then we can try to construct algorithms that pass the test and test them for complience with the requirements to learn whether the algorithms have each of the required low-level skills and higher-up coordination skills. It's analagous to specifying an Internet protocol such as SMTP or TELNET, and then trying to write code that implements the protocol. Or for this purpose, a set of 'Turing' tests which an intelligent being is supposed to pass, and then the algorithms to achieve that result. Software requirements, and then code to implement the requirements, in that sequence. REM> We are blind to skills that we humans don't have, thus blind REM> to whatever other capabilities a true "general intelligence" REM> would have if it existed, thus unable to distinguish between REM> our own hodge podge and a hypothetical "general intelligence", REM> because all we see of either is the intersection between what REM> we can see and what's actually there, namely our hodge podge REM> in both cases. It's analagous between humans not being able to REM> distinguish a 3-color photo of a flower and a true REM> all-spectrai view (including UV) of a flower, because we can't REM> see what's different, namely the presence or absence of the REM> UV. (Insects however *can* see the UV, so they would not REM> confuse the two.) > This is a wrong analogy. An intelligent being can create a UV > detector and thus gain the required ability. Are you claiming that because we can't create a general-intelligence detector, we will forever be restricted to the intersection of the hodge-podge-of-skills intelligence we have ourselves and whatever a "A.I." device might have, thus forever unable to tell whether the "A.I." device goes beyond what we have or not? If that's your claim, then I disagree. As we study various animals, we will discover types of intelligence some of them have which we do not ourselves have. Thus we will be able to devise tests for types of intelligence that go beyond our own. If at some point we find an algorithm for a device to "self-teach" to bootstrap a type of intelligence that includes all of our skills and all the skills of each of the animals we've studied, and also lots of skills that no animal on Earth can do, with all the parts fully integrated, all together in a single device, we may have that "Eureka!" moment when we realize that we've invented a true "general intelligence". We may then also develop an algorithm for generating problems to solve, some of which humans can solve, some of which only other animals can solve, and some of which *only* our general-intelligence A.I. device can solve. This problem-generator together with a rig for asking the human or animal or A.I. device to solve each problem, could then serve as a true test of general intelligence. Note that to date the only skills we've tested in animals are those which are similar to skills humans have, but I expect in the next 20 years animal-behaiour scientists will start to test "outside the box", such as learning how whales and birds navigate thousands of miles, how eusocial insects maintain "law and order" within the hive, etc., and thus start to find types of intelligence we don't yet appreciate because as snobs we aren't willing to admit that other animals are smarter or more intelligent than we are for some kinds of problems that stump us but which they do solve. > Presumably there may exist things which cannot be understood > directly or indirectly in any way in any time. Is this what you > meant? No, just that present we aren't thinking outside the human-intelligence "box" so we are blind (at present) to other forms of intelligence. > >> I think that sweeping floor is a much harder problem, REM> By the way, I expect Japanese robotics to be able to build a REM> floor-sweeping robot within the next ten years. But given that REM> automated vacuum cleaners are a better way to clean tiny REM> debris off the floor, and in fact automated vacuum cleaners REM> are already nearly consumer ready, there'll be no economic REM> incentive to actually produce a floor-sweeping robot, > Mechanics is the least problem. The actual issue is > classification between things to remove and things to stay. A > vacuum cleaner does it by considering dirt everything it can suck > in. An intelligent system considers stain rather as a subject for > more careful cleaning. Good point. I've never seen an automated cleaning device except on TV, mostly science programs from NHK, so I can only guess as to its true capailities and limitations. If you have used one of them in RL, please tell us your observations, else you're not just guessing too. My guess is that so-far they've managed to construct an internal model of the geography of the local environment (the building to be cleaned) and use that model to keep track of which regions of the floor still need to be cleaned, and navigate not just to avoid obstacles but to make sure that each portion of the floor gets cleaned at least once during each cleaning session. The kind of smarter system you requested is somewhat like what I have proposed for cleaning litter from sidewalks and gutters and lawns and parking lots etc. There are typically lots of leaves fallen from trees, some loose and some blown into clumps. There are also odd bits of litter such as empty beverage cups, metal cans, plastic bottles, etc. Ideally EVERYTHING that doesn't belong in place would be collected, but then the various types of litter would be separated, such as leaf litter sent to composter, aluminum cans and plastic bottles sent to recyclers, other plastic and paper etc. sent to incinerator, etc. A few years ago I posted an alternate idea, that birds can be trained to collect litter and separate the various materials, which might be faster to develop than an A.I. system. > >> As with an AI for sweeping floor they show unintelligence by > >> total inability to classify content between "valuable" and "junk." > > That's yet another dimension, after relevance to what you really > > wanted to know about. > An intelligent system is able to maintain a model of the world in > which things like relevance (as well as many other things) get > defined. Unintelligent systems are bound to a method to measure > relevance. An intelligent system does not need that, it already > knows what is relevant, it is itself a measurement instrument. That remark smells like a circular definition. Google-groups-search-key: imtrgfdi
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Re: Towards true A.I. "Dmitry A. Kazakov" <mailbox@dmitry-kazakov.de> - 2012-03-29 15:21 +0200
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Re: Towards true A.I. Gary Forbis <forbisgaryg@gmail.com> - 2012-04-03 05:22 -0700
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Re: Towards true A.I. seeWebInstead@rem.intarweb.org (Robert Maas, http://tinyurl.com/uh3t) - 2012-04-17 21:57 -0700
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Re: Towards true A.I. Walter Banks <walter@bytecraft.com> - 2012-05-30 09:43 -0400
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Re: Towards true A.I. casey <jgkjcasey@yahoo.com.au> - 2012-06-18 13:19 -0700
Re: Towards true A.I. Walter Banks <walter@bytecraft.com> - 2012-06-18 20:51 -0400
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Re: Towards true A.I. Walter Banks <walter@bytecraft.com> - 2012-06-21 11:40 -0400
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Re: John McCarthy R.I.P. "James" <no@spam.invalid> - 2011-11-10 13:00 -0800
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Re: John McCarthy R.I.P. curt@kcwc.com (Curt Welch) - 2011-11-10 21:07 +0000
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Re: John McCarthy R.I.P. curt@kcwc.com (Curt Welch) - 2011-11-14 15:28 +0000
Re: John McCarthy R.I.P. "Dmitry A. Kazakov" <mailbox@dmitry-kazakov.de> - 2011-11-14 16:57 +0100
Re: John McCarthy R.I.P. curt@kcwc.com (Curt Welch) - 2011-11-17 22:19 +0000
Re: John McCarthy R.I.P. "Dmitry A. Kazakov" <mailbox@dmitry-kazakov.de> - 2011-11-18 10:51 +0100
Re: John McCarthy R.I.P. casey <jgkjcasey@yahoo.com.au> - 2011-11-14 11:42 -0800
Re: John McCarthy R.I.P. "Dmitry A. Kazakov" <mailbox@dmitry-kazakov.de> - 2011-11-13 12:45 +0100
Re: John McCarthy R.I.P. RichD <r_delaney2001@yahoo.com> - 2011-12-14 10:28 -0800
Re: John McCarthy R.I.P. seeWebInstead@rem.intarweb.org (Robert Maas, http://tinyurl.com/uh3t) - 2011-11-13 16:00 -0800
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