>> In http://cs.fit.edu/~mmahoney/compression/rationale.html I argue the >> equivalence of text compression with AI.
We've had this argument before so I'll summarize . . . . Knowledge compression may well be mostly equivalent with the "logical view" of AI. Text, however, can express the same knowledge in a near infinitude of different forms. Requiring an AI to decompress the same knowledge into a variety of different forms based upon what was input is a tremendously more difficult problem than AI without that requirement (and having that requirement doesn't seem to have any benefit). ----- Original Message ----- From: "Matt Mahoney" <[EMAIL PROTECTED]> To: <agi@v2.listbox.com> Sent: Tuesday, April 17, 2007 10:15 PM Subject: Goals of AGI (was Re: [agi] AGI interests) > On 4/17/07, James Ratcliff <[EMAIL PROTECTED]> wrote: >> >> A simple list, or set of goals for an AGI to accomplish reasonably I would >> find very useful, and something to work for. > > I think an important goal is to solve the user interface problem. The current > approach is for the computer to present a menu of choices (e.g. a set of > icons, or automated voicemail "press or say 'one'"), which is hardly > satisfactory. An interface should be more like Google. I tell the computer > what I want and it gets it for me. > > In http://cs.fit.edu/~mmahoney/compression/rationale.html I argue the > equivalence of text compression with AI. I would therefore set a goal of > matching humans at text prediction (about 1 bit per character). Humans use > vast knowledge and reasoning to predict strings like "All men are mortal. > Socrates is a man. Therefore ____". An AGI should be able to make > predictions as accurately as humans given only a 1 GB corpus of text, about > what a human could read in 20+ years. > > I would go further and include lossy compression tests. In theory, you could > compress speech to 10 bits per second by converting it to text and using text > compression. The rate at which the human brain can remember video is not much > greater, probably less than 50 bps*. Therefore, as a goal, an AGI ought to be > able to compress a 2 hour movie to a 45 KB file, such that when a person views > the original and reconstructed movie on consecutive days (not side by side), > the viewer will not notice any differences. It should be able to do this > after training on 20 years of video. > > The purpose of this goal is that such an AGI could also perform useful tasks > such as reduce a video to a verbal description understandable by humans, or > given a script, produce a movie. These tasks would be trivial extensions of > the compression process, which would probably consist of describing a movie > using text and augmenting with some nonverbal data such as descriptions of > faces and voices in terms that humans cannot easily express. > > *50 bps is probably high. Tests of image recall by Standing [1] suggest that > a picture viewed for 5 seconds is worth about 30 bits. > > [1] Standing, L. (1973), "Learning 10,000 Pictures", Quarterly Journal of > Experimental Psychology (25) pp. 207-222. > > > -- Matt Mahoney, [EMAIL PROTECTED] > > ----- > This list is sponsored by AGIRI: http://www.agiri.org/email > To unsubscribe or change your options, please go to: > http://v2.listbox.com/member/?&; > ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?member_id=231415&user_secret=fabd7936
