Discussion:
More political philosophy about wich ideology to follow..
(trop ancien pour répondre)
Amine Moulay Ramdane
2021-02-11 21:25:29 UTC
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Hello..


More political philosophy about wich ideology to follow..

In political philosophy we can ask a question of:

Wich kind of ideology to follow ?

But i think that a smart answer to this question is also to answer the question of:

Wich ideology to not follow ?


This is why you are also noticing that also my way of doing
is that i am also answering the question of: Wich ideology to not follow, read my following thoughts to notice it:

More political philosophy about my new smart proverb..

As you have just noticed i have just written a new proverb, and
here it is:

"R&D (Research and development) and innovation bring
or introduce a kind of economic volatility, so you
have to know how to manage it and how to manage the
risk brought by it, so then you have to know how to manage
efficiently by not hurting good competition"

Note that "volatility" in the the dictionary means:

"A tendency to change quickly and unpredictably"

Read more here to notice it:

https://www.merriam-webster.com/dictionary/volatility


This new proverb of mine also says that since the R&D (Research and development) and innovation bring or introduce a kind of economic volatility, so we have also to know how to manage it carefully and efficiently with Antitrust laws, and here is the why of Antitrust laws:

"Antitrust laws are statutes developed by governments to protect consumers from predatory business practices and ensure fair competition. Antitrust laws are applied to a wide range of questionable business activities, including market allocation, bid rigging, price fixing, and monopolies."

This new proverb of mine is also related to the below problem that
brings nationalism and its economic nationalism that hurts good competition, read about it carefully in my below writing and thoughts:

More political philosophy about what are the big economic problems of China?..

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

Here is the big economic problems of China:

First economic problem is that China is addicted to debt, look at the following video to notice it:



Second economic problem is that China has Not enough PEOPLE for the FUTURE, look at the following video to notice it:



Third economic problem, is that China has the same problem of nationalism and its economic nationalism that hurts good competition that brings efficiency, and here it is, read it carefully:


Why is GERMANY Growing More Than JAPAN? and more about China...

I am a white arab, and i think i am smart since i have also
invented many scalable algorithms and algorithms, and today
i will speak about: Why is GERMANY Growing More Than JAPAN?
and more..

We have to be more smart, i think China is also reproducing the
mistakes of Japan, because Japan has protected its large industrial
conglomerates called in Japanese "Keiretsu" and Japan has
compensated there disadvantages even if they were not efficient, and Japan didn't hesitate to give the Keiretsu all kinds of advantages and privileges even if they were not efficient, and this was not good for "competition" and Japan has "failed" by doing it.

Look in this video carefully to notice it:

Why is GERMANY Growing More Than JAPAN? - VisualPolitik




I think this is the same that is happening with China, since i think
China needs an efficient mechanism that protects correct "competition" that brings good efficiency, read the following to notice it:

Competition: Europe's awakening in the face of foreign subsidies

Our state aid rules are very strict: an EU company can only receive grants of up to € 200,000 over three years. In China, the three 5G operators received 19 million euros each through the megalopolis of Shenzhen (12 million inhabitants)… According to the Wall Street Journal (article of December 25, 2019), Huawei would have benefited from 75 billion state aid via different channels, figures denied by the company. State capitalism of China obviously raises the question of the inequity of world competition ...

The direction the Commission is taking through the "white paper" is not this at all. The Commission does not seek to copy the Chinese model by favoring subsidized European champions. She does not deny her position in the Siemens-Alstom file. Margrethe Vestager was very clear on this point: “What we are asking for is reciprocity and conditions of equality. […] We are not going to sacrifice the advantages of competition to do the same thing that others do, namely to subsidize companies. No, because we would sacrifice the idea that the market is there to serve consumers with fairness and fair prices. "

Read more here:

https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fwww.lepoint.fr%2Fpolitique%2Femmanuel-berretta%2Fconcurrence-le-reveil-de-l-europe-face-aux-subventions-etrangeres-18-06-2020-2380631_1897.php


And to know more about nationalism and economic nationalism, read my
following thoughts:

My today talk is about white supremacism and neo-nazism and the far-right and nationalism.


So the first philosophical question is how to talk about
those above ideologies?

I think that it is also like a Mensa IQ test, so since i think i am smart, i have to use my smartness to solve the Mensa IQ test, so when you are smart, so how can you solve the problem(that is like a Mensa IQ test) of those above ideologies ? i think that i have first to detect the important pattern with my fluid intelligence, and i have to see clearly the pattern(like for example getting into the details from the abstraction of the pattern), and the important pattern is the following:

Notice that it is like an optimization problem of artificial intelligence that looks like PSO(Particle Swarm Optimization), it is what we call Swarm intelligence, and in PSO(Particle Swarm Optimization) there is what we call local optimization that we call exploitation, and there is what we call global optimization that we call exploration(read about PSO in my thoughts below so that to understand), so if PSO is not balanced correctly with exploitation and exploration it can not converge to the global optimum, we say that PSO has to guarantee the optimal convergence, so if it is not correctly balanced with both exploitation and exploration it can get stuck in a local maximum and not to converge to global optimum, so then notice that with logical analogy, exploration and exploitation of PSO(Particle Swarm Optimization) is in philosophy like seeking the right balance between individualism and collectivism that guarantees the optimal convergence like in PSO, or it is like seeking the right balance between collaboration and competition that guarantees the optimal convergence like in PSO, so then since the above ideologies are nationalism and nationalism is too much local optimization and lack of global optimization , it is too much competition and lack of collaboration or cooperation, so it is by logical analogy like too much exploitation and lack of exploration in PSO, so this is not good and here is how to notice it , read the following:

Read the following article about economic nationalism:

Rise of Economic Nationalism and Its Implications


https://www.lewisu.edu/experts/wordpress/index.php/rise-of-economic-nationalism-and-its-implications/


Notice that it says the following:


"Countries benefit with cooperation between countries to mutual benefit, becoming too nationalistic at the expense of its partners is counterproductive. It is an approach that creates conflict. Being more nationalistic tends to be a zero sum game in an increasingly interdependent world economy, where countries depend on other countries for their economic and political and national security well being. When companies cooperate, they can become more competitive. When they are more competitive, they hire more workers, pay higher salaries, and otherwise contribute to economic growth. Economic nationalism is a bad policy."

So a you are noticing that nationalism is not the right way to do.

This is why i also said the following:

More political philosophy about globalization and nationalism..

I am a white arab and i think i am more smart, so today i will
talk about a very important subject about Globalization and nationalism,
so i will invite you to look at the following video of Marine Le Pen of
the far-right political party in France:

Marine Le Pen explains why nationalism is important




As you notice that Marine Le Pen is saying in french that the
fight today is between nationalism and globalization, since
Marine Le Pen says that globalization is a treat to national
identity and is a treat to national sovereignty, but i think that Marine Le Pen is not understanding correctly globalization, since i think that nationalism is too much competition and communism and socialism is too much collaboration , so i think the best way is to seek like a balance between collaboration and competition and when we look
at globalization you will notice that we are collaborating with others by for example sharing Open Source softwares or Free softwares or PhD papers or knowledge on internet etc, and we are also competition by not collaborating with others, and with this new kind of model we are noticing that we are not just one identity like being french, but we are becoming multiple identities because this kind of new model is making a part of us that collaborate "universal", and this is why i think that Marine Le Pen is not understanding correctly this new kind of model of like seeking a balance between competition and collaboration , and i think that this new model is better because it is more efficient , because i think this partly collaboration of this new model is good and more efficient for creativity, innovation, adaptability and speed of progress, i also think in capitalism the price of internet has gotten cheap and the price of computers has gotten cheap, so we are able today to access internet with a low price and benefit from "collaboration" and also sharing in internet, for example look at me, i have invented many scalable algorithms and i have decided to share some of them with the others, and it is of course collaboration , so look for example at my following inventions of scalable algorithms that i have shared with others, here they are:

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

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

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

https://sites.google.com/site/scalable68/scalable-rwlock-that-works-accross-processes-and-threads

https://groups.google.com/forum/#!topic/comp.programming.threads/VaOo1WVACgs

https://sites.google.com/site/scalable68/an-efficient-threadpool-engine-with-priorities-that-scales-very-well

Also i have decided to not share others of my scalable algorithms and it is competition, so i am seeking like a balance between collaboration and competition.

More philosophy about what is artificial intelligence and more..

I am a white arab, and i think i am smart since i have also invented many scalable algorithms and algorithms, and when you are smart you will easily understand artificial intelligence, this is why i am finding artificial intelligence easy to learn, i think to be able to understand
artificial intelligence you have to understand reasoning with energy minimization, like with PSO(Particle Swarm Optimization), but
you have to be smart since the Population based algorithm has to guarantee the optimal convergence, and this is why i am learning
you how to do it(read below), i think that GA(genetic algorithm) is
good for teaching it, but GA(genetic algorithm) doesn't guarantee the optimal convergence, and after learning how to do reasoning with energy minimization in artificial intelligence, you have to understand what is transfer learning in artificial intelligence with PathNet or such, this transfer learning permits to train faster and require less labeled data, also PathNET is much more powerful since also it is higher level abstraction in artificial intelligence..

Read about it here:

https://mattturck.com/frontierai/


And read about PathNet here:

https://medium.com/@thoszymkowiak/deepmind-just-published-a-mind-blowing-paper-pathnet-f72b1ed38d46


More about artificial intelligence..

I think one of the most important part in artificial intelligence is reasoning with energy minimization, it is the one that i am working on right now, see the following video to understand more about it:

Yann LeCun: Can Neural Networks Reason?



I think that since i have just understood much more artificial intelligence, i will soon show you my next Open source software project that implement a powerful Parallel Linear programming solver and a powerful Parallel Mixed-integer programming solver with Artificial intelligence using PSO, and i will write an article that explain
much more artificial intelligence and what is smartness and what is
consciousness and self-awareness..

And in only one day i have just learned "much" more artificial intelligence, i have read the following article about Particle Swarm Optimization and i have understood it:

Artificial Intelligence - Particle Swarm Optimization

https://docs.microsoft.com/en-us/archive/msdn-magazine/2011/august/artificial-intelligence-particle-swarm-optimization

But i have just noticed that the above implementation doesn't guarantee the optimal convergence.

So here is how to guarantee the optimal convergence in PSO:

Clerc and Kennedy in (Trelea 2003) propose a constriction coefficient parameter selection guidelines in order to guarantee the optimal convergence, here is how to do it with PSO:

v(t+1) = k*[(v(t) + (c1 * r1 * (p(t) – x(t)) + (c2 * r2 * (g(t) – x(t))]

x(t+1) = x(t) + v(t+1)

constriction coefficient parameter is:

k = 2/abs(2-phi-sqrt(phi^2-(4*phi)))

k:=2/abs((2-4.1)-(0.640)) = 0.729

phi = c1 + c2

To guarantee the optimal convergence use:

c1 = c2 = 2.05

phi = 4.1 => k equal to 0.729

w=0.7298

Population size = 60;


Also i have noticed that GA(genetic algorithm) doesn't guarantee the optimal convergence, and SA(Simulated annealing) and Hill Climbing are much less powerful since they perform only exploitation.

In general, any metaheuristic should perform two main searching capabilities (Exploration and Exploitation). Population based algorithms ( or many solutions ) such as GA, PSO, ACO, or ABC, performs both Exploration and Exploitation, while Single-Based Algorithm such as SA(Simulated annealing), Hill Climbing, performs the exploitation only.

In this case, more exploitation and less exploration increases the chances for trapping in local optima. Because the algorithm does not have the ability to search in another position far from the current best solution ( which is Exploration).

Simulated annealing starts in one valley and typically ends in the lowest point of the same valley. Whereas swarms start in many different places of the mountain range and are searching for the lowest point in many valleys simultaneously.

And in my next Open source software project i will implement a powerful
Parallel Linear programming solver and a powerful Parallel Mixed-integer programming solver with Artificial intelligence using PSO.



Thank you,
Amine Moulay Ramdane.
René GROUMAL
2021-02-12 11:50:39 UTC
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Post by Amine Moulay Ramdane
Hello..
Fuck off.
Bob Illechian
2021-02-12 14:51:18 UTC
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Post by René GROUMAL
Post by Amine Moulay Ramdane
Hello..
Fuck off.
Vous êtes plus con que lui en lui répondant.
C'est un troll/robot et il s'en fout.

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