[net.ai] Doing AI backwards

tedrick@ernie.Berkeley.EDU (Tom Tedrick) (05/18/86)

More on Barry Kort's "Problem of the right-hand tail"
(ie social persecution of those with high intelligence).

Here is the way I look at the problem.

In order to function in society, it is necessary for most individuals
to operate in a more or less routine manner, performing certain acts
in a repetitive manner.

I have been trying to work backwards from models of computation,
abstracting certain principles and results in order to obtain
models with a wider application, including social behavior.

This is somewhat the reverse direction from that taken by
those working in Artificial Intelligence, who study intelligent
behavior in order to find better ways for machines to function.
I am studying how machines function in order to find better
ways for humans to function.

Anyway, most people in society functioning more or less automatically,
they handle input in such a way that only information relevant to
their particular problems is assimilated. Input is interpreted
according to the pre-existing patterns in their minds. It is as
if it was formatted input in fortran, anything that doesn't
conform to certain patterns is interpreted nonsensically.

The people in the "right-hand tail", IQ distribution-wise,
are there primarily due to greater capacity for independent
thought, abstract thought, capacity to reason for themselves
(or so I claim).

Thus these individuals are more likely to have original ideas
which don't conform to the pre-existing patterns in the minds
of the more average individuals. The average individual will
become disturbed when presented with information which he
cannot fit into his particular format. And with good reason,
since his role is to function as an automaton, more or less,
he would be less efficient if he spent time processing information
unrelated to his tasks.

So by presenting original information to the average individuals
in society, the "rightie" is likely to be attacked for disturbing
the status quo.

To use the machine analogy, the "righties" are more like programmers,
who alter the existing software, where the "non-righties" are like
machines which execute the instructions they already have in storage.

The analogy can be pushed in various ways. We can think of each
individual as being both programmer and machine, the faculty of
independent judgement and the self being the programmer or system
analyst, while the brain is the computing agent to be programmed.
The individual is constantly debugging and rewriting the code for
his brain, by the choices he makes which become habits, and so on.
Also, in interactive protocols where various individuals exchange
information, each is tampering with the software of the other.
I currently have been working out a strategy for dealing with
those I live with who talk too much. It is like having a machine
which keeps spewing out garbage every time you give it some input.
My current strategy is to carry a little card saying "I am observing
silence. I will answer questions in writing." This seems to work
very well, it is as if this form of input goes through another
channel which does not stimulate so much garbage in response.
Or its like saying "the network is down today, so sorry."

One last tangent. Note that in studying models of computation
one of the primary costs is the cost of memory. We can turn
this observation to good use in studying human behavior. For
example, suppose your wife asks you to pick up some milk at
the store after work. This seems a reasonable enough request,
on the surface. But if you think of the cost in terms of memory,
suppose short term memory is extremely limited and you have to
keep the above request stored in short term memory all day.
In effect you are reducing your efficiency in all the tasks
you perform all day long, since you have less free space in
your short term memory. Thus we see again how women have a
brilliant gift for asking seemingly innocent favors which
are really enormously costly. The subtle nature of the problem
makes it difficult to pin down the real poison in their approach.

You can use various strategies in order to deal with this problem.
One is to use some external form of storage (like writing it down
in a datebook), and having a daemon which periodically wakes up
and tells you to look in your external storage to see if anything
important is there. Of course this also has its costs.

By virtue of the relative newness of computer science, I think
there will be opportunities for applying the lessons we have
learned about machine behavior to other fields for some time to come.
(Since it is only recently that the need for rigorous treatment
of models of computation has induced us to really make some
progress in understanding these things.)