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Ferenc wrote:
Thanks for another engaging reference. What i found as
Vision and Goals:
"The high-level goal of the Mind Machine project is to reconcile natural
intelligence with machine intelligence, and in doing so develop and engineer a
class of intelligent machines. The work is divided into teams under the broad
categories of Mind, Body, Memory, and Brain/Intent ...Mind (models for thought),
Memory (accumulating and using experience), Body (scalable substrates to embody
intelligence), and Brain/Intent (looking for advanced applications of these
technologies, such as "non-chemical based" solutions for psychiatric treatments
and brain prostheses)." http://mmp.cba.mit.edu/Two things beat me here:
1. "one of the project’s goals is to create intelligent machines —
“whatever that means.”(Gershenfeld)
2. “I would like to be able to download the ability to
juggle.” “There’s nothing more boring than learning to juggle.”(Minsky)
I incline to agree with the public comments:
"You need to have an object of study...what is intelligence? This question
is the beginning."
"what kind of close-minded simpleton would think that learning to juggle is
boring? Maybe the kind who has held back AI research for the last 50
years."
It looks another AI fun begun with the same "stars" and
their supporting actors.
----- Original Message -----
Sent: Monday, January 04, 2010 5:39
PM
Subject: [ontolog-forum] Rethinking
artificial intelligence
You may be interested to read the original article in full: http://web.mit.edu/newsoffice/2009/ai-overview-1207.htmlQuote: "And
the third focus of the new research has to do with what they describe as
“body”: “Computer science and physical science diverged decades ago,”
Gershenfeld says. Computers are programmed by writing a sequence of lines of
code, but “the mind doesn’t work that way. In the mind, everything happens
everywhere all the time.” A new approach to programming, called RALA (for
reconfigurable asynchronous logic automata) attempts to “re-implement all of
computer science on a base that looks like physics,” he says, representing
computations “in a way that has physical units of time and space, so the
description of the system aligns with the system it represents.” This could
lead to making computers that “run with the fine-grained parallelism the brain
uses,” he says." Regards Ferenc
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