• Read again, i correct about more of my philosophy about the human natur

    From World-3000@21:1/5 to All on Mon May 16 21:13:50 2022
    Hello,



    Read again, i correct about more of my philosophy about the human nature
    and more of my thoughts..

    I am a white arab from Morocco, and i think i am smart since i have also invented many scalable algorithms and algorithms..


    I think i am highly smart, and so that to understand my below principle,
    i will say that humans are by nature selfish and egoistic,
    so then you have not to hate this nature of the human beings, but you
    have to be disciplined by using rules, and of course this egoistic
    doesn't mean 100% egoistic, but it can mean 65% or so as i have
    explained in my previous thoughts about Adam Smith philosophy, since
    read the following article of a study so that to understand that it is
    also a tendency:

    Humans are naturally selfish, study finds

    https://thebaynet.com/humans-are-naturally-selfish-study-finds-html/

    More of my philosophy about the positive energy of being an inventor or
    creator and more of my thoughts..

    I think i am highly smart, and as you have just noticed, i have just
    logically inferred that we have not to hate life or human life , but
    we have to be disciplined by rules, read it below, also human life needs
    from us to construct "smartly" an individual more stronger "ego" as an
    engine that permits you to be creative or inventive and then permits you
    to be successful, so it is why i am doing it this way by explaining how
    i am being an inventive and creative, and read my below thoughts about
    it, so it is why i have also invented a part of my philosophy about it,
    and here it is, read it carefully:

    https://groups.google.com/g/alt.culture.morocco/c/RNxOWBpkHkM


    More of my philosophy about life and about human life and more of my
    thoughts..

    I think i am highly smart, and since life and human life is not yet
    beautiful and not yet perfect, so it is why by logical analogy i am
    saying that we have not to hate the bugs or defects of the software,
    but we have to be disciplined with rules that make human life or life
    more and more beautiful and more and more perfect, and i think it is
    like a fondamental principle of science and technology too that brings a
    kind of respectability as i am saying below.

    More of my philosophy about the fondamental principle of science and
    technology and about the beautiful spirit and more of my thoughts..

    I think i am highly smart, and i think that the very basis of what
    must be science and technology is also about a kind of respectability,
    since for example in software engineering we don't hate the fact that
    a software can be not reliable and can be full of bugs, but we have to
    be this respectability of being constructive and make it a reliable
    software by correcting its bugs, so i think that the meaning of life or existence is the same, since we have to notice that life or human life
    is not yet beautiful and not yet perfect and we have not to hate it, but
    we have like in software engineering make it more and more perfect and
    more and more beautiful so that it becomes greatly beautiful or
    beautiful and greatly perfect or perfect, and i think that it is a
    fondamental principle of science and technology that is so important.

    And read my previous thoughts:

    More of my philosophy about the meaning of life and existence and more
    of my thoughts..

    I think i am highly smart and i think that the meaning of life and
    existence comes from like the genetic algorithm, i mean that it is
    like an optimization problem, since life or human life is not yet
    perfect or beautiful and we have to optimize it by making it more and
    more beautiful and more and more perfect, and i think this way of doing
    is the efficient way, so we have not to waste too much time at hating or destroying life, since i think that this way of thinking shows that we
    have to be constructive in our philosophy.

    More of my philosophy about my kind of personality and more of my thoughts..


    I think i am highly smart, but i will ask a philosophical question of:


    How can i explain my kind of personality ?

    I think i am like an inventor or creator, since if you look at my below thoughts you will notice that what i like most is inventing thoughts and inventing algorithms and inventing a philosophy and inventing poems of
    Love and poems and inventing proverbs, so as you have just noticed it is
    what i am doing in front of you, so my way of doing is mostly
    about being creative and inventive that permits me to adapt
    efficiently, so look for example how i have quickly invented my
    following algorithms here as a logical proof of what i am saying to you:

    Scalable reference counting with efficient support for weak references

    https://sites.google.com/site/scalable68/scalable-reference-counting-with-efficient-support-for-weak-references

    New variants of Scalable RWLocks

    https://sites.google.com/site/scalable68/new-variants-of-scalable-rwlocks

    Scalable lock that is FIFO fair and starvation-free

    https://sites.google.com/site/scalable68/scalable-mlock

    And i have also invented many other algorithms too..


    And look at my following thoughts so that you notice that
    it is the same pattern, i mean that i am the being inventive and creative:

    More of my philosophy about my kind of methodology of learning and more
    of my thoughts..

    I think i am highly smart, and i will explain to you my kind of way of
    learning much more clearly:

    I don't learn like you are learning, since i have to understand
    the architectural ideas more clearly, by inventing them and/or
    understanding them much more clearly, and after that this gives a form
    to a high level of intelligence that permits me to understand rapidly
    and efficiently, so i give you an example, so i have invented many architectural ideas that have given form to my philosophy as a high
    level intelligence , and this has allowed me to make you understand more
    the weaknesses of the philosophies of other philosophers, so i am doing
    it this way for genetic algorithms(read my thoughts about it below)
    etc., so i give you an example, so read my following thoughts in the
    following web link that i have rapidly invented, and you will notice how
    i am doing it by reading them carefully and by noticing my kind of
    personality, so here is a part of my philosophy about self-confidence
    and about how to be the positive energy and how to be hope so that you
    notice how my philosophy is smart:

    https://groups.google.com/g/alt.culture.morocco/c/RNxOWBpkHkM


    And look here in my following tutorial about Petri Nets how i have
    invented a methodology as also architectural ideas that permit to
    rapidly model parallel applications from the operators IF and THEN and
    OR and AND logic into a Petri Net model, so look at it carefully in my
    tutorial here , since i think it is interesting too:

    https://sites.google.com/site/scalable68/how-to-analyse-parallel-applications-with-petri-nets

    More of my philosophy about the the importance of randomness in
    the genetic algorithm and in the evolutionary algorithms and more
    of my thoughts..

    I think i am highly smart, and i will invite you to read my following
    smart thoughts about evolutionary algorithms and artificial intelligence
    so that you notice how i am talking about the so important thing that we
    call "randomness":

    https://groups.google.com/g/alt.culture.morocco/c/joLVchvaCf0


    So i think i am highly smart, and notice that i am saying in the above
    web link the following about evolutionary algorithms:

    "I think that Modern trends in solving tough optimization problems tend
    to use evolutionary algorithms and nature-inspired metaheuristic
    algorithms, especially those based on swarm intelligence (SI), two major characteristics of modern metaheuristic methods are nature-inspired, and
    a balance between randomness and regularity."

    So i think that in the genetic algorithm, there is a part that is hard
    coded, like selecting the best genes, and i think that it is what
    we call regularity, since it is hard coded like that, but there is
    a so important thing in the genetic algorithm that we call randomness,
    and i think that it is the genetic mutations that happen with a
    probability and that give a kind of diversity, so i think that this
    genetic mutations are really important, since i can for example
    say that if the best genes are the ones that use "reason", so then
    reason too can make the people that has the tendency to use reason do
    a thing that is against there survival, like going to war when we
    feel that there is too much risk, but this going to war can make
    the members or people that use reason so that to attack the other enemy
    be extinct in a war when they loose a war, and it is the basis of
    randomness in a genetic algorithm, since even when there is a war
    between for example two Ant colonies, there are some members that do not
    make war and that can survive if other are extinct by making war, and i
    say it also comes from randomness of the genetics.

    More of my philosophy about the other conditions of the genetic
    algorithm and about artificial intelligence and more of my thoughts..
    .
    I think i am highly smart, and i think that the genetic algorithm
    is interesting too, but i have to speak about one other most important
    thing about the genetic algorithm, so i will ask a philosophical
    question about it:

    Since as i just said previously, read it below, that a good genetic
    algorithm has to efficiently balance between global(exploration) and local(exploitation) search , but how can you be sure that you have found
    a global optimum ?

    I think i am smart, and i will say that it also depends on the kind of
    problem, so if for example we have a minimization problem, you can
    rerun a number of times the genetic algorithm so that to select the best minimum among all the results and you can also give more time to
    the exploration so that to find the a better result, also you have to
    know that the genetic algorithm can be more elitist in the crossover
    steps, but i think that this kind of Elitism can has the tendency to not efficiently higher the average best of the average members of the
    population, so then it depends on wich problem you want to use the
    genetic algorithm, also i think that the genetic algorithm is
    a model that explains from where comes humans, since i also think
    that the genetic mutations of humans, that happens with a probability,
    has also not only come from the inside body from the chromosomes and
    genes, but they also were the result of solar storms that, as has said
    NASA, that may have been key to life on Earth, read here so that to
    notice it:

    https://www.nasa.gov/feature/goddard/2016/nasa-solar-storms-may-have-been-key-to-life-on-earth

    Read my previous thoughts:

    More of my philosophy about the genetic algorithm and about artificial intelligence and more of my thoughts..

    I think i am highly smart, and as you have just noticed, i have just
    talked yesterday about the distributed intelligence and collective intelligence, and i invite you to read it in my below thoughts, and
    today i will invent more of my thoughts about the genetic algorithm, so
    i will ask the following philosophical question about the genetic algorithm:

    Is the genetic algorithm a brute-force search and if it is
    not, how is it different than the brute-force search ?

    so i have just quickly took a look at some example of a minimization
    problem with a genetic algorithm, and i think that the genetic algorithm
    is not a brute-force search, since i think that when in a minimization
    problem with a genetic algorithm you do a crossover, also called
    recombination, that is a genetic operator used to combine the genetic information of two parents to generate new offspring, the genetic
    algorithm has this tendency to also explore locally and we call it exploitation, and when the genetic algorithm does genetical mutations
    with a level of probability, the genetic algorithm has this tendency to
    explore globally and we call it exploration, so i think a good genetic algorithm is the one that balance efficiently exploration and
    exploitation so that to avoid premature convergence, and
    notice that when you explore locally and globally you can do it with
    a bigger population that makes it search faster, so it is is why i think
    the genetic algorithm has this kind of patterns that makes it a much
    better search than brute-force search. And so that to know more about
    this kind of artificial intelligence , i invite you to read my following thoughts in the following web link about evolutionary algorithms and
    artificial intelligence so that to understand more:

    https://groups.google.com/g/alt.culture.morocco/c/joLVchvaCf0


    More of my philosophy about the analytic queueing-circuit analyzer PDQ
    and more of my thoughts..

    I am a white arab from Morocco, and i think i am smart since i have also invented many scalable algorithms and algorithms..


    I think i am highly smart, since i have also passed two certified IQ
    tests and i have scored above 115 IQ, so as you have just noticed i have
    just talked about timesharing and coroutines in the following link:

    https://groups.google.com/g/alt.culture.morocco/c/tN_O-AgkGjY

    And i have just talked about Markov chains in mathematics and about
    Petri Nets here:

    https://groups.google.com/g/soc.culture.quebec/c/LPE4zR-BqHY

    Now i will talk about my PDQ for Delphi and Freepascal:

    This is a port by Amine Moulay Ramdane of PDQ version 6.2.0 to Delphi
    on Windows and to Freepascal on both Windows and Linux, i have also
    provided you with two demos, one queuing MM1 demo, and another Jackson
    network demo. Also i have provided you with my HTML tutorial on how to
    solve analytically the Jackson network problem provided to you as a PDQ
    demo.

    PDQ is an analytic queueing-circuit analyzer made freely available under MIT/X11 license from: http://www.perfdynamics.com/Tools/PDQ.html

    You can download it from my website here:

    https://sites.google.com/site/scalable68/pdq-for-delphi-and-freepascal

    And here is an example in Delphi and Freepascal of the Jackson network
    demo that i have included inside the zip file(and you can look
    at my mathematical modeling of it here in my website: https://sites.google.com/site/scalable68/jackson-network-problem):

    ---

    program test_network;


    uses pdq64,LinSys;


    type router1 = array of pansichar;
    servTime1 = array of double;
    visitRatios1 = array of double;
    serviceDemands1 = array of double;
    var

    A, b, x : TMatrix;
    arrivRate:double;
    work:pansichar;
    router:router1;
    servTime:servTime1;
    visitRatios:visitRatios1;
    serviceDemands:serviceDemands1;
    i:integer;

    begin

    setlength(router,3);
    setlength(servTime,3);
    setlength(visitRatios,3);
    setlength(serviceDemands,3);


    arrivRate := 0.50;
    work:='Traffic';

    router[0]:='Router1';
    router[1]:='Router2';
    router[2]:='Router3';

    servTime[0]:=1.0;
    servTime[1]:=2.0;
    servTime[2]:=1.0;

    A := TMatrix.Create (3,3);
    b := TMatrix.Create (3,1);
    x := TMatrix.Create (3,1);

    A[1,1] := 1.0; A[1,2] := 0.0; A[1,3] := -0.2;
    A[2,1] := -0.5; A[2,2] := 1.0; A[2,3] := 0.0;
    A[3,1] := -0.5; A[3,2] := -0.8; A[3,3] := 1.0;

    b[1,1] := 0.5; b[2,1] := 0.0; b[3,1] := 0.0;

    LinSys.gauss(A, b, x);

    visitRatios[0]:=x[1,1]/arrivRate;
    visitRatios[1