You should spend about 20 minutes on Questions
14-26, which are based on Reading Passage 2 below. The robots are coming- or are
they What is the current state of play in Artificial
Intelligence
A. Can robots advance so
far that they become the ultimate threat to our existence Some scientists say
no’, and dismiss the very idea of Artificial Intelligence. The human brain, they
argue, is the most complicated system ever created, and any machine designed to
reproduce human thought is bound to fail. Physicist Roger Penrose of Oxford
University and others believe that machines are physically incapable of human
thought. Colin McGinn of Rutgers University backs this up when he says that
Artificial Intelligence ’is like sheep trying to do complicated psychoanalysis.
They just don’t have the conceptual equipment they need in their limited
brains’. B. Artificial Intelligence, or Al, is different from
most technologies in that scientists still understand very little about how
intelligence works. Physicists have a good understanding of Newtonian mechanics
and the quantum theory of atoms and molecules, whereas the basic laws of
intelligence remain a mystery. But a sizeable number of mathematicians and
computer scientists, who are specialists in the area, are optimistic about the
possibilities. To them it is only a matter of time before a thinking machine
walks out of the laboratory. Over the years, various problems have impeded all
efforts to create robots. To attack these difficulties, researchers tried to use
the ’top- down approach’, using a computer in an attempt to program all the
essential rules onto a single disc. By inserting this into a machine, it would
then become self-aware and attain human-like intelligence. C.
In the 1950s and 1960s great progress was made, but the shortcomings of these
prototype robots soon became clear. They were huge and took hours to navigate
across a room. Meanwhile, a fruit fly, with a brain containing only a fraction
of the computing power, can effortlessly navigate in three dimensions. Our
brains, like the fruit fly’s, unconsciously recognise what we see by performing
countless calculations. This unconscious awareness of patterns is exactly what
computers are missing. The second problem is robots’ lack of common sense.
Humans know that water is wet and that mothers are older than their daughters.
But there is no mathematics that can express these truths. Children learn the
intuitive laws of biology and physics by interacting with the real world. Robots
know only what has been programmed into them. D. Because of the
limitations of the top-down approach to Artificial Intelligence, attempts have
been made to use a ’bottom-up’ approach instead - that is, to try to imitate
evolution and the way a baby learns. Rodney Brooks was the director of MIT’s
Artificial Intelligence laboratory, famous for its lumbering ’top- down’ walking
robots. He changed the course of research when he explored the unorthodox idea
of tiny ’insectoid’ robots that learned to walk by bumping into things instead
of computing mathematically the precise position of their feet. Today many of
the descendants of Brooks’ insectoid robots are on Mars gathering data for NASA
(The National Aeronautics and Space Administration), running across the dusty
landscape of the planet. For all their successes in mimicking the behaviour of
insects, however, robots using neural networks have performed miserably when
their programmers have tried to duplicate in them the behaviour of higher
organisms such as mammals. MIT’s Marvin Minsky summarises the problems of AI:
’The history of AI is sort of funny because the first real accomplishments were
beautiful things, like a machine that could do well in a maths course. But then
we started to try to make machines that could answer questions about simple
children’s stories. There’s no machine today that can do that.’
E. There are people who believe that eventually there will be a combination
between the top- down and bottom-up, which may provide the key to Artificial
Intelligence. As adults, we blend the two approaches. It has been suggested that
our emotions represent the quality that most distinguishes us as human, that it
is impossible for machines ever to have emotions. Computer expert Hans Moravec
thinks that in the future robots will be programmed with emotions such as fear
to protect themselves so that they can signal to humans when their batteries are
running low, for example. Emotions are vital in decision-making. People who have
suffered a certain kind of brain injury lose the ability to experience emotions
and become unable to make decisions. Without emotions to guide them, they debate
endlessly over their options. Moravec points out that as robots become more
intelligent and are able to make choices, they could likewise become paralysed
with indecision. To aid them, robots of the future might need to have emotions
hardwired into their brains. There is no universal consensus as to whether
machines can be conscious, or even, in human terms, what consciousness means.
Minsky suggests the thinking process in our brain is not Iocalised but spread
out, with different centres competing with one another at any given time.
Consciousness may then be viewed as a sequence of thoughts and images issuing
from these different, smaller ’minds’, each one competing for our attention.
Robots might eventually attain a ’silicon consciousness’. Robots, in fact, might
one day embody an architecture for thinking and processing information that is
different from ours - but also indistinguishable. If that happens, the question
of whether they really ’understand’ becomes largely irrelevant. A robot that has
perfect mastery of syntax, for all practical purposes, understands what is being
said. Reading Passage 2 has six paragraphs, A-F.
Which paragraph contains the following information Write the correct letter, A-F, in boxes 14-20 on your
answer sheet.NB You may use any letter more than
once. robots not being able to extend their intelligence in the same way as humans