Here is my new software inventions..

[Amine Moulay Ramdane]

Hello,


Here is my new software inventions..

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

And my today software invention is the following:

You have to know that a Turing-complete system can be proven mathematically to be capable of performing any possible calculation or computer program, and bash shell for Linux and Windows are Turing-complete, and even if bash shell is not python, it is a minimalist language that is especially designed for administrators of operating systems, but i have noticed that bash shell is not suited for for parallel programming, this is why i am enhancing it with my
scalable algorithms so that to support sophisticated parallel programming on both Linux and Windows that permits it to scale much better on RAIDs and on multicores. So i am also writing a book about my enhancement to bash shell with my scalable algorithms so that to help others be efficient in bash shell programming and efficient in operating system administration, and of course i will sell my book, so i don't think you need python since python doesn't come with my scalable algorithms that will enhance bash for Linux and Windows, and i think operating systems administrators don't need python since it is
not suited for operating system administrators since it is
not a minimalist language as bash for Linux and Windows.

You can read more about bash shell from here:

https://www.infoworld.com/article/2893519/perl-python-ruby-are-nice-bash-is-where-its-at.html

Also my next software invention is the following:

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?

https://www.youtube.com/watch?v=YAfwNEY826I&t=250s

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 much more scalable Parallel Linear programming solver and a powerful much more scalable 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
much more scalable Parallel Linear programming solver and a powerful much more scalable Parallel Mixed-integer programming solver with Artificial intelligence using PSO.



Thank you,
Amine Moulay Ramdane.