Intuition is an algorithm, which enables the mind to recognize patterns. Computers will, one day evolve to achieve a similar competence.
Evolution Of The Computer
Evolution Of The Computer - Watson Supercomputer
In February 2011, IBM entered the next stage in evolution of the computer - pattern recogntiion, demonstrating the Watson Supercomputer, which recognizes patterns in text data to surpass the capabilities of the human mind.
Evolution of the computer will bring it closer to the human mind, by developing an ability to understand. It is that unique ability to recognize, manipulate and remember events, which will be the next step in computer evolution. At present, “understanding” is the basic difficulty facing the efforts of the AI community to mimic human intelligence.
- Decades ago Alan Turing suggested a thought experiment, which suggested that outward behavior alone should be the criterion for building a computer, with human level intelligence.
- John Searle subsequently suggested a second thought experiment, which showed that internal understanding was also an element of human intelligence. Computers today lack a true understanding of the information they process.
- But, computers have already begun to recognize the patterns, which identify a few objects. Future computers could be programmed to identify and name all the objects around us. Simultaneous recognition of many objects would require a massive increase in memories.
- With simultaneous processing of exponentially larger memories, computers could begin to recognize video events. They could begin to recognize and verbalize event patterns. They could then add recognition of all sensory event patterns. Subsequently, they could categorize event patterns in terms of emotions.
- Computers would then recognize the complex patterns, which convey the concepts of human culture and art. They could then learn from the written pages of human history.
- With an ability to identify and verbalize its own internal processes, computers could begin to have self awareness.
- All this would require the simultaneous processing of unimaginably large memory capacities. A computer, with such capabilities, could truly understand.
Of The Computer -Turing & Searle
ago, Alan Turing had defined the primary goal of artificial
intelligence. A human judge could engage in an exchange of messages
with one human and one machine, each of which tries to appear human;
if the judge cannot reliably tell which is which, then the machine
can be defined as being humanly intelligent. Turing suggested that it
was not the internal state of either the mind, or the machine, but
their outward behavior, which can define intelligence.
John Searle pointed out the main barrier to evolution of the
computer. He suggested that along with outward behavior,
understanding was also crucial. According to him, “strong AI” was
impossible, because a computer, merely programmed to output seemingly
intelligent messages, would still not equal a mind, because it could
never truly understand those messages.
Of The Computer -Comprehension
proposed a thought experiment, where an English speaking person in a
closed room, accepts a message in Chinese through a window, follows
certain instructions to return answers in Chinese. Since he merely
followed the instructions, he had no comprehension of the transmitted
messages. In the same way, since computers merely processed inputs
without an understanding of their significance, they could never
advance to the next stage in evolution of the computer - human
the current stage in evolution, computers merely simulate thought,
but lack any real understanding. Computers are not able to
demonstrate such comprehension, since, in reality, they do not know
the contextual meaning of a message. It is common knowledge that such
a lack of comprehension can be revealed by even simple queries to a
computer. Even though individual neurons do not know of the Chinese
Room, the mind understands its implications. But this superiority of
the mind may be short lived. In the next stage in evolution of the
computer, they may overcome this weakness.
Of The Computer -Recognition Of Events
the beginning of evolution of the computer, the machines have limited
memories and are unable to recognize complex patterns. When these
limitations are overcome, computers may match human intelligence,
with true understanding. Computer programs could begin with an
ability to identify objects and events by analyzing and morphing
video patterns. Analyzing the incoming patterns of light waves of a
video clip, it could uniquely identify and name a glass on the
adequate video memories for sequential recognition, the programmed
logic of such a computer could observe and identify not only objects
and people, but even their activities. It would proceed to identify
and name thousands of objects. They could use unique programs, which
could isolate innumerable relationships of objects to each other,
including “above,” “below,” “behind,” and “bigger.”
understanding stage in evolution of the computer could lead to
recognition of event patterns, defining the changing relationships of
objects over time, to code the output in sentences. From its video
input, the computer could output “John placed the glass on the
table.” Its programs would morph groups of video clips into a
single activity, combining event sequences to create new events in
circuits would structure the grammatical links between words in its
sentences. Morphed sentences would output “John came home and drank
water.” It could proceed to learn and retain in its memory,
millions of such events, defined by such sentences. This phase in
evolution of the computer would lead to the recognition of sentences,
which defined a past, future, or imagined event.
Of The Computer -Emotional Understanding
advanced stage in evolution of the computer would depend on massive
memories. Installed programs in the computer would the transfer
millions of years of programmed emotional
categorize recognized events with feelings. It would identify events,
which were sad, outrageous, or funny. With its emotional knowledge
and the equivalent of a human lifetime of memories, it would identify
the joy, sadness, or anger of John over the happenings in his life.
It would recognize the context of a received message and meaningfully
could even be programmed to recognize its own internal processes,
giving it a sensory awareness of itself. The intelligence of such a
computer could one day equal, or exceed the intelligence of the one
and a half kilograms of gray matter of the human mind. It would no
longer matter, whether such a computer functioned through neurons,
integrated circuits, or light waves. The understanding stage would
have been reached in evolution of the computer.
Of The Computer -Massive Memories
of the computer will inevitably lead to the development of massive
memories. With such memories, computers will have immediate and
contextual access to the trillions of such video images and the
ability to process all those patterns in real time. Such a computer
will recognize language and culture, music and dance, utilizing not
merely visual, but multi dimensioned sensory memories.
the information in the one hundred million books of a search engine
would probably occupy a whole city block. On this scale, the DNA
codes in the human body, tightly packed into 500 page books, would
fill the Grand Canyon fifty times over! At present, nature's stores
of information are incomparably larger. But the mind stores all
that information in a puny brain.
the ongoing miniaturization of memories, computers will also
recognize events using a few thousand cubic miles of such coded
memories. In the next step in evolution of the computer, the machines
will be able to understand the meaning of this article.
This page was last updated on 31-Dec-2013.