Hello,

Read my final corrected about more philosophy about the reification and
human consciousness..

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

So i can ask a philosophical question of:

What is consciousness ?

I will give you a smart example so that you understand:

So when you feel with your hands and brain that a the table is solid,
so this feeling gives a "meaning" that guides our thinking,
so our human senses are doing the same, they are feeling what's
a moving object and feeling what's speed and feeling what's a fast speed
or not fast speed and feeling what's an object that is before or after
another object etc. and i say that those feelings with our senses give
the meanings and it gives consciousness of time and space and matter, so
our feelings of our human senses give life or human awareness or human
consciousness that guides smartness, and notice that i am saying that an
idea is both smartness and meaning , and notice that in mathematics
we can have the following formula of a derivative:

Derivative_of(2*x) = 2

So this formula is a smartness, but the formula has also a "meaning"
given by our human senses , and i also define the self-awareness like a
human sense that feels the oneself, so now you are understanding that an
algorithm or running algorithm is like a formula that has not the
meaning that is understood by a human, so artificial intelligence has a
disadvantage since it is not guided by this meaning that plays the role
of an objective function that permits to optimize correctly.

More precision about more philosophy about the essence of human smartness..

I think i have to be more precise, so i will say that the process that
gives the meaning with the human senses is like reification, since we
say that reification is when you think of or treat something abstract as
a physical thing. Reification is a complex idea for when you treat
something immaterial — like happiness, fear, or evil — as a material
thing. So the human process in the brain that gives meaning with human
senses is by analogy like a the process of reification, since human
senses gives life or meaning to ideas, those human senses give
consciousness of the system composed of time and space and matter and
the human brain "compose" meanings with this consciousness, this is why
we are feeling life as we are feeling it.

I think i am a really smart philosopher, and i think i look like the
great philosophers like Aristotle and such, since i am thinking
rapidly and inventing ideas and discovering patterns etc. so i think
that my brain is special, so here is what i have just discovered:

I think that artificial intelligence is not understanding correctly
what is human smartness, since i say that an "idea" is both a smartness
and a "meaning" that "guides" smartness, it is like the objective
function of the dynamic system that is human smartness that guides and
makes us know how to optimize, since i say that humans are "feeling" the
"ideas" with there human senses that comes also from the brain, and this
feeling of the ideas is also what gives the ideas a meaning that guides,
and i also define the self-awareness like a human sense that feels
the oneself, so you are understanding now one of the basis
of my philosophy, since without those human senses, the algorithms
in a computer can not give a meaning that guides smartness, so i think
it is the disadvantage of artificial intelligence. So here is how i
think we have to do it with the algorithms:

I think i am smart, and i have just explained below that the divide and
conquer algorithms are a particular case or special case of Swarm
intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence
uses localized optimization with exploitation as heuristics like Greedy
algorithms so that to enhance much more the artificial intelligence
algorithm, but notice with me that general artificial intelligence can
use Swarm intelligence like PSO at a lower level layer, and at a higher
level layer it can use the divide and conquer algorithms, i mean that
the unknown meaning can be divided and conquered by measuring it with
previous meanings from the data using artifical intelligence of for
example PathNET so that to find the unknown meaning, and i define the
meaning in artificial intelligence as as the higher concept that is
recognized with deep learning, and this way we can construct much more
rapidly more and more meanings and incorporate them in PathNET so that
to converge more and more to much more generalized artificial
intelligence that will rapidly approximate general artificial intelligence.

More precision about more philosophy about human smartness and about
artificial intelligence..

I have to be more precision, so here is the definition in the dictionary
of "pattern" that i am using in my thoughts of my philosophy below:

Pattern is a particular way in which something is done, is organized, or
happens.

Read here in the dictionary to notice it:

https://dictionary.cambridge.org/dictionary/english/pattern

I think i am a philosopher that is smart, so i will ask the following
philosophical question:

What is human smartness or intelligence ?

I will answer it by saying the following:

I think we call it human smartness because it discovers "useful"
patterns in the reality, so reality can contain static systems or
dynamic systems that contain smartness in form of useful patterns etc.,
so human smartness uses its smartness to "discover" those useful
patterns so that to become more and more smart, and by discovering the
useful patterns i also means knowing about there meanings of those
useful patterns so that to understand them, it is by logical analogy
like discovering the rules so that to become smart, so for example when
we are doing mathematics we can discover the useful rules or useful
patterns like the theorems in mathematics by using deductive logic and
inductive logic, so i can go further and say that Swarm intelligence
like PSO(Particle Swarm Optimization) is a self-organization, and
Self-organization, also called (in the social sciences) spontaneous
order, is a process where some form of overall order arises from local
interactions between parts of an initially disordered system. The
process can be spontaneous when sufficient energy is available, not
needing control by any external agent, so then Swarm intelligence like
PSO(Particle Swarm Optimization) is self-organization since notice that
the exploration mechanism of PSO that is the global optimization is
"collaborating" with the exploitation mechanism of PSO that is the local
optimization so that to self-organize by finding the global optimum
, so then we can call Swarm intelligence like PSO(Particle Swarm
Optimization) a form of intelligence, this is why we call
it artificial intelligence.

Also you can read more about my thoughts of my philosophy about human
smartness in the following web link:

https://groups.google.com/g/alt.culture.morocco/c/Wzf6AOl41xs

More philosophy about what is artificial intelligence or general
artificial intelligence..

I think i am smart, and i have just explained below that the divide and
conquer algorithms are a particular case or special case of Swarm
intelligence of PSO(Particle Swarm Optimization), and i will explain
it more in my next posts, now notice with me that Swarm intelligence
uses localized optimization with exploitation as heuristics like Greedy
algorithms so that to enhance much more the artificial intelligence
algorithm, but notice with me that general artificial intelligence can
use Swarm intelligence like PSO at a lower level layer, and at a higher
level layer it can use the divide and conquer algorithms, i mean that
the unknown meaning can be divided and conquered by measuring it with
previous meanings from the data using artifical intelligence of for
example PathNET so that to find the unknown meaning, and i define the
meaning in artificial intelligence as as the higher concept that is
recognized with deep learning, and this way we can construct much more
rapidly more and more meanings and incorporate them in PathNET so that
to converge more and more to much more generalized artificial
intelligence that will rapidly approximate general artificial intelligence.

More philosophy about Swarm intelligence and PSO and artificial
intelligence..

Can we ask a philosophical question:

Is Swarm intelligence like PSO(Particle Swarm Optimization) a
brute-force general problem-solving technique and what is it ?

So i invite you first to read the following interesting article about
artificial intelligence of PSO(Particle Swarm Optimization):

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

And read my following thoughts about artificial intelligence:

https://groups.google.com/g/alt.culture.morocco/c/BKGvkTI5FY4

So I think i am smart and i will say that since artificial intelligence
of PSO(Particle Swarm Optimization) is guided by not only exploration
but by the mechanism of exploitation, so this shows that this mechanism
of exploitation guides the problem-solving technique, so we can
not say that Swarm intelligence of PSO is a brute-force general
problem-solving technique, since brute-force general problem-solving
technique and algorithmic paradigm consists of systematically
enumerating all possible candidates for the solution and checking
whether each candidate satisfies the problem's statement, but notice
that brute-force general problem-solving technique is not guided by the
quality of exploitation of artificial intelligence of PSO(Particle Swarm
Optimization), and i can say that the artificial intelligence of
PSO(Particle Swarm Optimization) is Swarm intelligence that is more
general than the
particular case of the divide and conquer algorithms, since in the
divide and conquer algorithms we are guided by the divide mechanism that
is the "exploration" that finds a solution and after that there is an
exploitation of this solution of this quality that is the already sorted
small arrays in the case of mergesort that will permit the recursive
merge algorithm to reduce the time complexity to n*log(n), so i think it
is the same for PathNet in artificial intelligence that i also think
uses a kind of divide and conquer algorithm.