Hello,
I have trouble implementing my AGI algorithm:
The below paragraphs might sound ridiculous, because they are my original ideas.
We are all motivated by selfish thoughts. We help others so others can help us
back. We help others to cope
with our pleasurable chemical addiction. We help others because helpfulness is
encoded in our genetic markup.
We experience pain. Pain is to help us defend damage. When we touch something
hot we can draw back. But we
have the free will to not react to it. I believe there is no free will.
I will explain what I means. Assume that pain is a constraint. But this
constraint is not absolute. Other
thoughts can override the constraint. For example, when you help some animal
being eaten from a monster, you
can fight with the monster to save the
animal's life. But you will experience pain in the fight. Therefore pain is not
a constraint. Your goal to save the animal's
life overrides the pain constraint. (your goal to save the
animal's life is also motivated by selfish actions) Therefore, pain is not a
constraint. But if there is no goal that overrides the pain constraint, you
will do anything to avoid the pain. We have proven there is no free will--we
choose to react or not react to pain is dependent on your goal or our
knowledge. Therefore, implementing pain as a constraint in friendly AI will not
help many lives. Our brains are doing things to get the highest pleasure as
possible. We get a chemical addiction to save that animal. That pleasure is
more pleasant than avoiding the pain by not fighting. We trust ourselves. We
can gamble pain for future pleasure. Therefore, I believe that emotion can be
implemented by an ordinary computer. Emotion can be implemented by an algorithm
that searches for the highest pleasure. The algorithm must also has the ability
to gamble pain for pleasure (by applying "goals" or knowledge). There is no
right or wrong. We kill insects all the time. But we usually do
not sympathize with them. This is because that our "religion" says that bugs
are not as important as other animals. It's
a byproduct of natural selection. We have to hunt animals to survive.
Without religion, we would brood over this question: Is it better to save a
human by sacrificing 1000 insects
or vice versa?
Therefore we assume that religion is natural. Religion helps us survive. Some
religions help us believe there
is afterlife and reincarnation. Because we believe these, we do not fear death.
We are not afraid to
sacrifice ourselves for others. For example, we will not be afraid to
participate in wars and spread our
religion. Religion is a virus. Most of the world is religious because of that.
Therefore, some religions are dangerous. But religion is essential for our
daily survival. Some religious
thoughts are encoded in our genes.
It's a process of natural selection. Kin selection and group selection are
examples. Returning to the main question: Is selfishness essential for friendly
AI? Selfish is related to laziness. Lazy people do not like to sacrifice hard
work for pleasure (or they do not enjoy pleasure). They do not like to
sacrifice their energy for pleasure. Contrastingly, AI can use as much energy
as it wants. They do not get tired. Pain is using "energy". But what about
these feelings of people? Friendly AI will get pleasure if it sees the people
happy. For example, many people are afraid of AI, even friendly AI. The
friendly AI computer will self-destruct so these people will not worry about
AI. The AI computer has to maintain at least a little superiority on oneself to
prevent self-destruction. It's
a natural instinct.
But the last paragraph is contradictory. Will the computer self-destruct to get
pleasure? We will guess:
selfish friendly AI might not. Unselfish friendly AI might (depends on
knowledge and circumstances).
This is where religion takes over. If the selfish friendly AI believes in an
afterlife, it might self-
destruct on some circumstances. The selfish friendly AI might experience
pleasure during self- destruction.
The selfish friendly AI might otherwise (depending on religion) set a goal that
it will experience pleasure
after it is self- destructed.
However, the friendly AI will be smart enough to figure out, for example, that
there is no such thing as an
afterlife and religion. What do we do about it? What do we do when it figures
out that all organisms are
equally superior?
Therefore, I believe that selfish AI might be less "risky" than unselfish AI.
Unselfish AI might treat
everything equally; it might sacrifice humans to save animals.
To choose the "safest" route, we need an AI that behaves like a human. For
example, if humans are motivated
by selfish goals, then friendly AI has to be motivated by selfish goals. We
need an AI to be taught by a top-
down method rather than a bottom-up approach, like humans.
How do we make the selfish friendly AI algorithm? We have an obvious
requirement: lots of
heuristics (like pleasure, pain).
It's the same for humans. The heuristics for humans are encoded in our genetic
code. Because the human brain computes concurrently, the algorithm is slower on
a computer. But evolution isn't
perfect - an optimized algorithm might be much faster. Contrary to the popular
opinion, I do not think
computer speed is a requirement. Any computer will get anything done. It is
just a matter of time.
It is basically a brute force algorithm that searches for the highest amount of
pleasure. It is like a chess
program. And because emotion is vital for real-world tasks and perhaps
generalized intelligence; a selfish
friendly AI algorithm is essential to construct artificial general intelligence.
But to recognize emotion of a person, we sometimes have to pretend we are that
person. Theories suggest that
"mirror neurons" perform empathy. But computers, and also theories suggest that
autistic people do not have
"mirror neurons". We have to find a way to emulate empathy: that is -- using
the selfish friendly AI
algorithm.
How do we implement the algorithm? It is a difficult question. There are many
ways to implement it.
My implementation: Knowledge is stored in a fuzzy "database". The algorithm
searches through the
entire database every time in response to external (and internal) stimuli,
looking for connections or
relations (relating to the stimulus). It recursively searches. Then, it chooses
the most pleasurable ("goal")
action to be performed (from knowledge stored in the database).
I believe that behaviors of this implementation can be easily trained by
operant conditioning. The training
has to "gamble pain for pleasure". It has to get an immediate reward. But I
don't know how to train the implementation for more complex tasks, like
arithmetic. Single-digit addition is easy, but how do I generalize it to double
digit addition? I find it hard to reduce the two-digit number to two discrete
digits and add them. Similarly, autistic people seem to have trouble in this
similar area. Pattern recognition might help, but it is too complex.
Help me with the algorithm. Thank you
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