I'm going to make an extremely inflammatory statement and say that I
believe that "uncertain logic systems, uncertain inferences and the 'correct'
handling of uncertainty via Bayes and other methods have clouded the issue of
AGI with irrelevant facts and side-tracked many researchers into working at an
entirely too low/detailed a level for "general" AGI.
Mike's original e-mail was exactly on point . . . . When an AGI is given
incorrect or, more frequently, insufficient information in terms of how a given
situation deviates from the norm -- the *correct* behavior is for it to give an
incorrect answer. I also like his statements that knowledge must be grounded
yet provisional and that every concept must be a tree, which can continually be
added to and fundamentally altered.
----- Original Message -----
From: Mike Tintner
To: [email protected]
Sent: Monday, April 30, 2007 8:33 AM
Subject: **SPAM** Re: [agi] MONISTIC, CLOSED-ENDED AI VS PLURALISTIC,
OPEN-ENDED AGI
obvious rejoinder: how can you have "correct" handling of uncertainty?
Perhaps you mean "effective/ most effective available". But it's worth picking
up on, because there is a fundamental contradiction here in many thinkers -
i.e. it may well be that people are still caught between two eras & haven't
passed over fully.
Best example I can think of is William Calvin saying something like: "the
conscious mind is clearly designed to deal with problematic decisions, where
existing solutions won't work. The smartest mind is the one that can find the
correct answer to those problems." Well, that's a definite
self-contradiction. There is no correct answer to problematic decisions, only a
calculated gamble.
----- Original Message -----
From: Benjamin Goertzel
To: [email protected]
Sent: Monday, April 30, 2007 1:24 PM
Subject: Re: [agi] MONISTIC, CLOSED-ENDED AI VS PLURALISTIC, OPEN-ENDED AGI
Your reactions please about to what extent any modern AGI incorporates
uncertainty and provisionality of knowledge, and the need for rightness of
other forms of AI.
Well, a number of modern AGI designs (Novamente, NARS) are specifically
founded on uncertain logic systems... in which correct handling of uncertainty
is at the core...
Generally, uncertain inference is a pretty hot area in mainstream "narrow
AI" these days, but most of the work is on relatively simple manifestations
like Bayes Nets...
-- Ben
----------------------------------------------------------------------------
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/?&;
----------------------------------------------------------------------------
No virus found in this incoming message.
Checked by AVG Free Edition.
Version: 7.5.467 / Virus Database: 269.6.2/780 - Release Date: 29/04/2007
06:30
------------------------------------------------------------------------------
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
