Kurzweil's
PRTM Next Step in AI
Sam Ghandchi
http://www.ghandchi.com/730-kurzweil-prtm-eng.htm
گام بعدی درتئوری هوش مصنوعی، الگوشناسی تفکر، از دیدگاه کرزوایل
http://www.ghandchi.com/730-kurzweil-prtm.htm
PS 10/16/21: Kurzweil's Mind-Making, My Blind Thinking, and Euclid's Achievement
P.S. 08/08/21: About 'Time Crystal' Discovery with Google's Quantum Computer
P.S. 05/02/21: Interview by Ray Kurzweil 03/11/21: A conversation with Michele Reilly of Turing
P.S. 05/02/21: Ray Kurzweil: Dialogue 11/01/20: A conversation on creating a mind
P.S. 12/10/13: Fardid Blog
Kurzweil's Comment 11/18/12: Thanks, Sam. Looks good! Very much appreciated. All the best, Ray
Ray
Kurzweil's new book How to Create a Mind about Artificial
Intelligence (AI) has just been published (1). The book examines
topics that
have long been the subject of discussion in the AI community (2).
Nowadays one does not need to discuss writings such as
Alan Turing's monumental 1936
paper to draw attention to AI (3). Anybody making a query on Google wants the
search engine to respond like a human, i.e. to understand what the inquirer is
asking and to use the vast information it has at its disposal to respond
appropriately. People are not afraid of such engines; rather, they wish it would
work like a superhuman. In other words, after over half a century, AI is
increasingly implemented in tools like Google search engine, albeit with its
current limitations, and that luddites are disappearing at least in this area.
Kurzweil in his new book goes back to the basics which have been mostly missing
in the literature of the field for two decades. When the word AI was coined by
John McCarthy of Stanford, two distinct views of AI were easily discernible. The
first was that of McCarthy himself. McCarthy, the inventor of the LISP language
that was widely used by AI practitioners in the early days, viewed human
reasoning as a non-monotonic logical system. Simply put, this means that if we
say a dog is an animal with a tail and if later we see a dog that does not have
a tail, then in this logical model, we consider the new case as an exception.
In contrast, Marvin Minsky of MIT, who is considered the founder of AI, had a
different view of intelligence. He proposed a theory of frames, which was
expounded in his monumental book Society of Mind, published in 1988. According
to Minsky's view, when we say a dog is an animal with a tail, we create a frame
in our brain corresponding to this understanding and once we run into a case
where a dog does not have a tail, we just modify the frame.
In his new book, Kurzweil proposes a new theory to describe human reasoning
called Pattern Recognition Theory of Mind (PRTM). Kurzweil shows the crux of his
theory by writing that "each of our routine procedures is remembered as an
elaborate hierarchy of nested activities" (4). He gives the excellent example of
how easy it is for us to remember the alphabet in its sequence but how hard it
is for us to recite it in reverse (5). His PRTM model is not speculative but
rather is based on his extensive work on reverse engineering the brain. Thus it
surely can be used by AI practitioners to better simulate human thinking.
I believe Kurzweil's model is based on how the brain of most abstract thinkers
works, referred to by NLP theorists as cerebral people. Neuro-linguistic
programming (NLP), a field founded by Richard Bandler and John Grinder, is not
viewed as a science in many academic circles, and some personal issues that came
up early in that field made it especially controversial. Ignoring the
psychology-related claims made by NLP, I believe it offers a structure where we
can see that not all human brains work the same. For instance, when Kurzweil
describes how he remembers seeing a woman pushing a baby carriage during his
morning walk, he writes, "I cannot recall what either of them was wearing or the
color of their hair. (My wife will tell you that this is typical.) Although I am
unable to describe anything specific about their appearance, I do have some
ineffable sense of what the mom looked like" (6).
The reality is that visual people do not need to pay attention to the details of
someone's appearance, but when asked to remember those details, they may easily
retrieve them. By contrast, non-visual people must pay attention to those
details to remember them later. Maybe the former group has what is sometimes
referred to as photographic memory when at its best. At any rate, most people
referred to by NLP theorists as 'visual' people think this way, but those who
are referred to as 'auditory' or 'kinesthetic' people happen not to think this
way. Cerebral people may belong to any of these three groups. Now would these
factors make a difference to Kurzweil's PRTM when he tries to reverse engineer
the brain? It does not seem to be the case, because he is focusing on pattern
recognition regardless of whether the patterns are perceived visually,
auditorily or kinesthetically. Thus the methods described in his book should not
change even when considering this difference. Nonetheless this factor may change
how we explain some of the research work that Kurzweil has presented in his
book. This is why I think that further research should be conducted on the
mechanisms by which visual people are able to remember those aforementioned
details without having paid attention to them and which are missing in
non-visual people.
I found Kurzweil's How to Create a Mind to be an excellent exposition of
AI as it is today with all of its potentials, and after decades of not having a
treatise of fundamentals in the field, it was refreshing to see such a
masterpiece published by Kurzweil, who is the most pioneering thinker of the
field in our times.
Hoping for a democratic and secular futurist republic in Iran,
Sam Ghandchi
IRANSCOPE
http://www.ghandchi.com/index2.html
November 19,
2012
Footnote:
1. Raymond Kurzweil, How to Create a Mind, Viking, 2012
2.
Understanding Self-consciousness: Differentiating Humans from other Sentient
Beings
3. Turing and AI
4. Raymond Kurzweil, How to Create a Mind, Viking, 2012, Page 33
5. ibid, Page 27
6. ibid, Page 29
Related Topic
Ray Kurzweil: Our Brain Is a Blueprint for the
Master Algorithm
https://www.youtube.com/watch?v=Kl91n20hPI4
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