Since the brain is a complex adaptive
system and we can simulate a complex adaptive system in a computer, it
is only logical that we try to use computers to undertake tasks in
similar ways top the brain and create machines that can actually think
for themselves.
Defining intelligence is not as
straight forward as it seems. We might define it as being rational, but
we humans are often irrational in how we behave.
In 1950 Alan Turing
devised a test for whether an
AI system is intelligent. He asks the question of whether a human
person communicating with a
machine could be fooled into thinking they were communicating with
another person.
He also created the Turing Machine back in 1936, which was a
hypothetical machine operating an extremely basic abstract
symbol-manipulating devices. It created a mental framework from
which to think how artificial intelligence might be developed and in
fact, the Turing machine was an influence in how the computers we now
use are structured.
In 1997 Gary Kasparov, the world champion chess player was
defeated by a computer built by IBM called "Big Blue" in 1997.
Voice recognition software is different from most software in that it
has the ability to learn. The more you use the program, the more
accurately the program can recognise your voice and turn it into text.
Google also uses "machines" that can learn to return the web page that
most nearly meets the page you were searching for. Each time it is used
it is gathering information designed to make it more efficient at
searching.
Within the next ten years we will see computers with the same level of
complexity as humans. That does not mean they will be able to undertake
the same functions as a person.
Complex adaptive systems have the ability to learn. They are
formed when autonomous agents interact capable of making their
own
decisions interact with their environment and other agents. It
must take in
information from the environment, assess it and choose an action which
is appropriate and effective in its environment. Very often we look at
the systems nature has evolved for clues as to the most efficient way
to structure an artificially intelligent machine.
A moment's thought will make it clear just how complex we are and how
so many of the tasks we take for granted are actually exceedingly
complex and replicating such functions is a far more difficult task
than we might imagine.
A simple thing like looking at a scene and interpreting what is being
seen is nowhere near as straight forward as it seems. How would a
machine determine where are the
edges of each object is? How would it know which objects are joined to
one another and which ones just happen to be lying next to each other.
How does it know that two objects are the same when one is turned to a
different orientation, much closer or further away, tilted on angle, or
in different levels of illumination? How different do two objects have
to be before it is obvious that they are not just two different
examples of the same thing. there are enormous challenges before
us if we are to replicate the functions of a human being in a machine
of some type.
Marvin Minsky, who has done an enormous amount of work in the area
believes that in principle, machines will
be able to do anything a human mind can do.
When we consider all these factors, we must also ponder what it means
to be human. Are we just extremely complex machines we will one day
create in a computer or are we uniquely different beings.
Science fiction stories abound of robots going out of control and
taking over humans. the reality we are seeing is more of a blurring
between the boundaries of what is human and what is machine. Machines
are being integrated into biological forms. For example artificial arms
can be given to a person who has lost an arm that they control directly
from their brain. Biological components are being added to machines. We
are directly altering genetic codes and on the brink of creating new
non-DNA based life forms. There are enormous philosophical implications
of the work being done in the field of artificial intelligence. the
field is growing so fast that we struggle to come to terms with the
implications of the new technologies becoming available to us.