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Thread: "Computer Chronicles: Artificial Intelligence and Expert Systems", 1984

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    "Computer Chronicles: Artificial Intelligence and Expert Systems", 1984



    Computer Chronicles: Artificial Intelligence and Expert Systems (1984) Part 1

    Published on Aug 17, 2012

    An early look at artificial Intelligence. Guests includes Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI International, Tom Kehler of Intellegenetics, Herb Lechner of SRI, and John McCarthy of Stanford. Featured demonstrations include Inferential Knowledge Engineering and the programming language LISP. Originally broadcast in 1984.

    Q. What is artificial intelligence?

    A. It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.

    Q. Yes, but what is intelligence?

    A. Intelligence is the computational part of the ability to achieve goals in the world. Varying kinds and degrees of intelligence occur in people, many animals and some machines.

    Q. Isn't there a solid definition of intelligence that doesn't depend on relating it to human intelligence?

    A. Not yet. The problem is that we cannot yet characterize in general what kinds of computational procedures we want to call intelligent. We understand some of the mechanisms of intelligence and not others.

    Q. Is intelligence a single thing so that one can ask a yes or no question ``Is this machine intelligent or not?''?

    A. No. Intelligence involves mechanisms, and AI research has discovered how to make computers carry out some of them and not others. If doing a task requires only mechanisms that are well understood today, computer programs can give very impressive performances on these tasks. Such programs should be considered ``somewhat intelligent''.

    Q. Isn't AI about simulating human intelligence?

    A. Sometimes but not always or even usually. On the one hand, we can learn something about how to make machines solve problems by observing other people or just by observing our own methods. On the other hand, most work in AI involves studying the problems the world presents to intelligence rather than studying people or animals. AI researchers are free to use methods that are not observed in people or that involve much more computing than people can do.

    Q. What about IQ? Do computer programs have IQs?

    A. No. IQ is based on the rates at which intelligence develops in children. It is the ratio of the age at which a child normally makes a certain score to the child's age. The scale is extended to adults in a suitable way. IQ correlates well with various measures of success or failure in life, but making computers that can score high on IQ tests would be weakly correlated with their usefulness. For example, the ability of a child to repeat back a long sequence of digits correlates well with other intellectual abilities, perhaps because it measures how much information the child can compute with at once. However, ``digit span'' is trivial for even extremely limited computers.

    Hosted by Stewart Cheifet, Computer Chronicles was the world's most popular television program on personal technology during the height of the personal computer revolution. It was broadcast for twenty years from 1983 - 2002. The program was seen on more than 300 television stations in the United States and in over 100 countries worldwide, with translations into French, Spanish, Chinese, and Arabic. The series had a weekly television broadcast audience of over two million viewers.

    Many of the series programs are distributed on video to corporations and educational institutions for use in computer training. Computer Chronicles program segments have also been bundled with various computer text books by major publishers.

  2. #2


    Computer Chronicles: Artificial Intelligence and Expert Systems (1984) Part 2

    Published on Aug 17, 2012

    An early look at artificial Intelligence. Guests includes Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI International, Tom Kehler of Intellegenetics, Herb Lechner of SRI, and John McCarthy of Stanford. Featured demonstrations include Inferential Knowledge Engineering and the programming language LISP. Originally broadcast in 1984.

    Q. When did AI research start?

    A. After WWII, a number of people independently started to work on intelligent machines. The English mathematician Alan Turing may have been the first. He gave a lecture on it in 1947. He also may have been the first to decide that AI was best researched by programming computers rather than by building machines. By the late 1950s, there were many researchers on AI, and most of them were basing their work on programming computers.

    Q. Does AI aim to put the human mind into the computer?

    A. Some researchers say they have that objective, but maybe they are using the phrase metaphorically. The human mind has a lot of peculiarities, and I'm not sure anyone is serious about imitating all of them. Q. Does AI aim at human-level intelligence?

    A. Yes. The ultimate effort is to make computer programs that can solve problems and achieve goals in the world as well as humans. However, many people involved in particular research areas are much less ambitious.

    Q. How far is AI from reaching human-level intelligence? When will it happen?

    A. A few people think that human-level intelligence can be achieved by writing large numbers of programs of the kind people are now writing and assembling vast knowledge bases of facts in the languages now used for expressing knowledge.

    However, most AI researchers believe that new fundamental ideas are required, and therefore it cannot be predicted when human-level intelligence will be achieved.

    Q. Are computers the right kind of machine to be made intelligent?

    A. Computers can be programmed to simulate any kind of machine.

    Many researchers invented non-computer machines, hoping that they would be intelligent in different ways than the computer programs could be. However, they usually simulate their invented machines on a computer and come to doubt that the new machine is worth building. Because many billions of dollars that have been spent in making computers faster and faster, another kind of machine would have to be very fast to perform better than a program on a computer simulating the machine.

    Q. Are computers fast enough to be intelligent?

    A. Some people think much faster computers are required as well as new ideas. My own opinion is that the computers of 30 years ago were fast enough if only we knew how to program them. Of course, quite apart from the ambitions of AI researchers, computers will keep getting faster.

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