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<p>Dear Karl,</p>
<p>Thank you for bringing this important point to my attention. Here
are some thoughts:<br>
</p>
<div>
<h1>I guess we call it Genius </h1>
</div>
<ul>
<li>Difference between generating and understanding or reading</li>
<li>Super intelligence, requires genius or generational
understanding</li>
<li>Generative intelligence</li>
<li>Creative intelligence</li>
<li>Compositional intelligence</li>
<li>Formative intelligence</li>
<li>Evolutional intelligence</li>
<li>Restricting, intelligence to problem-solving, dismisses,
creative acts of composition in science and the arts</li>
<li>Think of Heinz Kohut’s formation of the self in psychology
versus Freudian reactive psychology</li>
<li>It’s the difference between discovering a theorem, and proving
the theorem</li>
<li>It’s the difference between school-boy problem-solving, and
Newton</li>
<li>Some psychologists think of intelligence in relationship to
testing people for their ability to cope in educational
institutions. They want to see if they are college material or
not. <br>
</li>
<li>With future All systems were talking about Newton level
intelligence not college level intelligence</li>
<li>Kantian synthetic intelligence </li>
<li>We better be ready for that! If not, we got some real
problems. <br>
</li>
<li>That is why making these systems social and cooperative is so
essential.<br>
</li>
</ul>
<p></p>
<p>We may quickly reach a point where the compositional creative
intelligence of artificial models is so powerful, we will not be
able to understand them. Not just how they work. We already don't
understand how they work now. But their reasoning and new outputs
such, as for example, mathematical insights. Imagine a system that
can reason and develop 2,000 years of mathematics in a few
minutes. It is precisely this overarching linking of knowledge
that makes for real intelligence such as that of Leibniz or
Newton. The old school model of psychological testing of
intelligence uses a definition of intelligence that is to limiting
for AI models. AI models are not your evey day student. <br>
</p>
<p>Best wishes,</p>
<p>Eric<br>
</p>
<div class="moz-cite-prefix">On 10/18/23 12:59 PM, Karl Javorszky
wrote:<br>
</div>
<blockquote type="cite"
cite="mid:CA+nf4CVf-6gnJCXU3-BCd-yLjav0Bn7iJGYkUoSo8TuGss3mmA@mail.gmail.com">
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<p class="MsoNormal"><span lang="DE-AT">Dear Eric,<span></span></span></p>
<p class="MsoNormal"><span lang="DE-AT"> </span></p>
<p class="MsoNormal">Your statement: „The essence of general
intelligence is the
ability to not only solve an externally given problem but to
be creative and
find and define problems.” is at deviance to accepted
delineations of concepts
in the trade of psychology. Rohracher [1] has defined in
1969 (and to my
knowledge, no one has disputed this wording): “Intelligence
is the degree of
efficiency [of the CNS] while solving new problems.”<span></span></p>
<p class="MsoNormal">What you refer to is subsumed variously
under: creativity,
alertness, curiosity, vitality, spontaneity. <span></span></p>
<p class="MsoNormal">There is consensus in the epistemology of
psychology that
there can exist no final, conclusive, all-encompassing
theory of personality
(in which intelligence and adaptability/curiosity would or
would not be
separated as concepts), because if such an ultimate, final,
true theory of
personality would exist, that assumption would negate the
axiomatic rule that
one can always learn something new, at least about himself.
There is, by definition,
no end to introspection and philosophy. One can always come
up with a new
theory of personality and one cannot rule out that a new
theory of personality would
be more reasonable, truer, more conclusive than anything
that has existed
before.<span></span></p>
<p class="MsoNormal">Psychologists see theories about mind and
soul in the same
way believers see their God. It is impossible to recognize
all features of God,
let alone to insist that one has a correct reading.<span></span></p>
<p class="MsoNormal">So, if you decide not to distinguish
between efficiency of
solving new problems and ability and tendency towards
finding new problems to
solve, you are free to do so. Established use of words
splits the two
personality traits.<span></span></p>
<p class="MsoNormal">I have prepared a statement about the key
word “otherwise”.
The word is needed to scale the efficiency of mental
processes while solving
new problems (aka ‘intelligence’) by scaling the
diversity/similarity
properties of alternatives. To be able to efficiently choose
between
alternatives, one needs to have alternatives that are
different among each
other. The task is to find such collections of symbols that
are alternatives to
each other, not by machinations by humans, but as members of
a symbols
collection. This task is not easy to solve while using the
symbols set in the traditional,
Sumerian ways only. One needs to assume that symbols have
their own properties,
by their nature, immanent to them. <span></span></p>
<p class="MsoNormal">Due to the two-messages-per-week rule,
the contribution
shall come next week.<span></span></p>
<p class="MsoNormal">Karl<span></span></p>
<p class="MsoNormal"><span lang="DE">[1] Rohracher, H.:
Einführung in die Psychologie, Urban & Schwarzenberg,
Wien 1951<span></span></span></p>
</div>
</div>
<br>
<div class="gmail_quote">
<div dir="ltr" class="gmail_attr">Am Mi., 18. Okt. 2023 um
12:01 Uhr schrieb Eric Werner <<a
href="mailto:eric.werner@oarf.org" moz-do-not-send="true"
class="moz-txt-link-freetext">eric.werner@oarf.org</a>>:<br>
</div>
<blockquote class="gmail_quote"
style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
<div>
<p>Dear Yixin,</p>
<p>Thank you for you comments! <br>
</p>
<p>To your point (2): The essence of general intelligence is
the ability to not only solve an externally given problem,
but to be creative and find and define problems. For
example, given a knowledge of mathematics and physics and
data to generate new mathematics and new insights into the
nature of the world. <br>
</p>
<p>To your point (3): Biotechnology and AI are somewhat
independent fields. AI can help genome research and
decoding genomes. But once genomes are decoded that
information can be used to construct more general AI
models. When I say "architecture" I meant the architecture
of the human brain encoded in the human genome. This
architectural information can be used to guide the
structuring of AI models be be more potent and more human
like. And, AI may well help in the process of structuring
its future version. That is what I meant by
selfreferencing. <br>
</p>
<p>To the more general point, formalization of social
information can help guide the improvement of AI models to
be more social and have greater abilities in a AI-robot
social setting. <br>
</p>
<p>All the best,</p>
<p>Eric <br>
</p>
<div>On 10/18/23 9:16 AM, 钟义信 wrote:<br>
</div>
<blockquote type="cite">
<div><font size="4" face="Times New Roman">Dear Eric,</font></div>
<div><font size="4" face="Times New Roman"><br>
</font></div>
<div><font size="4" face="Times New Roman">Thank you for
the interesting talk on "Paradigm AI" from which I
learned a lot. </font></div>
<div><font size="4" face="Times New Roman"><br>
</font></div>
<div><font size="4" face="Times New Roman">As a
discussant, may I propose some of my understanding.
Comments are welcome. </font></div>
<div><font size="4" face="Times New Roman"><br>
</font></div>
<div><font size="4" face="Times New Roman">(1) I
appreciate your idea that saying "Physics paradigm PPD
does not fit well with AI paradigm" and "Information
paradigm PID is a better fit". This is the valuable
common basis, between you and me, concerning the PPD,
PID and AI.</font></div>
<div><font size="4" face="Times New Roman"><br>
</font></div>
<div><font size="4" face="Times New Roman">(2) How to
define the concept of intelligence? This is a very
difficult problem. To my own understanding, the
following short statement may serve as one of the
candidates: <u>Intelligence is the ability to solve
problem but not the ability to find and define
problem, the latter of which is one of the abilities
for wisdom.</u></font></div>
<div><font size="4" face="Times New Roman"><u><br>
</u></font></div>
<div><font size="4" face="Times New Roman">(3) The
paradigm for AI can be used as the paradigm for
bio-technology with certain simplification and
specialization. This judgement is not based on their
"structure/architecture", but based on their
"information function" - which is the basic function
in both AI and biotechnology, that is to seek
opportunity for "living (or solving problem)" and to
avoid the "danger (or failing to problem solving)".</font></div>
<div><font size="4" face="Times New Roman"><br>
</font></div>
<div><font size="4" face="Times New Roman">Once again,
comments and criticisms are most welcome.</font></div>
<div><font size="4" face="Times New Roman"><br>
</font></div>
<div><font size="4" face="Times New Roman"><br>
</font></div>
<div><font size="4" face="Times New Roman">Best regards,</font></div>
<div>
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src="https://exmail.qq.com/cgi-bin/viewfile?type=logo&domain=bupt.edu.cn"
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<h4
style="margin:0px;font-size:14px;font-weight:bold;line-height:28px;color:rgb(0,0,0);zoom:1">Prof.
Yixin ZHONG</h4>
<div>AI School, BUPT</div>
<div>Beijing 100876, China</div>
<p style="margin:0px"><br>
</p>
<p
style="margin:0px;line-height:22px;color:rgb(160,160,160)"><br>
</p>
</div>
</div>
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</div>
<div> </div>
<div>
<div> </div>
<div> </div>
<div style="color:rgb(0,0,0)">
<div
style="font-size:12px;font-family:"Arial Narrow";padding:2px 0px">------------------ Original ------------------</div>
<div
style="font-size:12px;background:rgb(239,239,239);padding:8px">
<div id="m_5188193341310462074menu_sender"><b>From:
</b> "Eric Werner"<a
href="mailto:eric.werner@oarf.org"
target="_blank" moz-do-not-send="true"><eric.werner@oarf.org></a>;</div>
<div><b>Date: </b> Tue, Oct 17, 2023 02:32 AM</div>
<div><b>To: </b> "fis"<a
href="mailto:fis@listas.unizar.es"
target="_blank" moz-do-not-send="true"><fis@listas.unizar.es></a>;
</div>
<div><b>Subject: </b> [Fis] Paradigm AI</div>
</div>
<div> </div>
<div>
<p>Here are some brief thoughts on Paradigms and AI
by I presume was written by Yixin Zhong since I
cannot read Chinese. <br>
</p>
<div dir="ltr">
<div>
<h1>Paradigm AI</h1>
</div>
<ul>
<li>I agree that the physics paradigm PPD
doesn’t fit well with the AI paradigm, and
that the information paradigm PID is a better
fit</li>
<li>Artificial intelligence systems, don’t
necessarily learn from human beings. In
unsupervised learning they learn from data and
not from humans.</li>
<li>The problem, and becomes really how to
define what intelligence is: Which of the
following is it?<br>
</li>
<ul>
<li>Rational inference</li>
<li>Summarizing large amounts of text and data</li>
<li>Making new predictions based on scientific
theories and available data</li>
<li>Developing new theories that explain the
data in the more succinct way, and making
new predictions</li>
<li>Developing new technologies independently
of human input</li>
<li>Planning and executing the actions and
intentions of a robot</li>
<li>Having social intelligence</li>
<li>Being cooperative with a human being in
achieving a task </li>
<li>Interrelating two discipline, such as
physics and mathematics, to make new
discoveries</li>
<li>Understanding, genomes in the way that
human beings cannot</li>
<li>Designing new organisms by designing their
genomes</li>
</ul>
<li>I agree with the language of a new paradigm,
such as artificial intelligence will develop
slowly step by step in conjunction with its
use -both conceptually and experimentally .</li>
<li>In a new paradigm entire new language is
created as a paradigm is developed</li>
<li>The language evolves in concert with a new
ontology suggested by the paradigm</li>
<ul>
<li>It is an ontology of objects,
technologies, actions, and strategies</li>
</ul>
<li>What will be particularly interesting, is
the <b><font size="5">linking of the paradigm
of artificial intelligence with the
paradigm of biotechnology</font></b></li>
<ul>
<li>Biotechnology and AI will truly link the
human brain with the artificial brain</li>
<li>The genome of the natural brain will be
reflected in the architecture of the
artificial brain</li>
<li>Hence by using AI to decode the genome of
the natural brain, it will be self-reflected
in the design of the developing artificial
brain </li>
<li>This will bring unprecedented social and
rational functionality to the artificial
brain </li>
<li>Note that the biotech-genome paradigm also
is founded on the information paradigm.<br>
</li>
</ul>
</ul>
</div>
<p>Thank you Yixin Zhong for your input and
emphasizing the intimate relationship of
information and AI paradigms. <br>
</p>
<p>Best wishes,</p>
<p>Eric <br>
</p>
<div>-- <br>
<i> Dr. Eric Werner <br>
Oxford Advanced Research Foundation <br>
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<div>-- <br>
<i> Dr. Eric Werner <br>
Oxford Advanced Research Foundation <br>
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Oxford Advanced Research Foundation <br>
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