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/?member_id=231415&user_secret=fabd7936
