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05-turing-test.pdf

GeorgeMatthews
January 22, 2019
16

 05-turing-test.pdf

GeorgeMatthews

January 22, 2019
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Transcript

  1. From Functionalism to AI If minds are really just programs

    running in our human hardware, then it should be possible to build a thinking machine, an Artificial Intelligence, shouldn’t it?
  2. Possibilities Logical: there is no contradiction in the idea of

    a thinking machine. Physical: thinking machines do not violate the laws of physics.
  3. Possibilities Logical: there is no contradiction in the idea of

    a thinking machine. Physical: thinking machines do not violate the laws of physics. Technological: we know how to actually build a thinking machine.
  4. Possibilities Logical: there is no contradiction in the idea of

    a thinking machine. Physical: thinking machines do not violate the laws of physics. Technological: we know how to actually build a thinking machine. Social/Moral: there is no strong reason we should not build a thinking machine.
  5. The Turing Test How can we tell whether a machine

    is intelligent? ! Don’t we have to define intelligence first?
  6. The Turing Test How can we tell whether a machine

    is intelligent? ! Don’t we have to define intelligence first? ! Don’t we have to “reverse engineer” ourselves to build an intelligent machine?
  7. The Turing Test How can we tell whether a machine

    is intelligent? ! Don’t we have to define intelligence first? ! Don’t we have to “reverse engineer” ourselves to build an intelligent machine? Turing’s answer: we do not need to define intelligence.
  8. The Turing Test How can we tell whether a machine

    is intelligent? ! Don’t we have to define intelligence first? ! Don’t we have to “reverse engineer” ourselves to build an intelligent machine? Turing’s answer: we do not need to define intelligence. We just need to talk to a machine and not be able to tell its answers apart from human answers.
  9. The Chinese Room Searle doesn’t understand Chinese. The instruction book

    enables the room to pass the Turing Test. Computers function like this.
  10. The Chinese Room Searle doesn’t understand Chinese. The instruction book

    enables the room to pass the Turing Test. Computers function like this. So Artificial Intelligence is impossible.
  11. Making sense of language Syntax Rules for transforming symbols. “To

    form the past tense, add an ED to the end of the infinitive form of the verb.”
  12. Making sense of language Syntax Rules for transforming symbols. “To

    form the past tense, add an ED to the end of the infinitive form of the verb.” Computers are good at manipulating symbols according to rules.
  13. Making sense of language Syntax Rules for transforming symbols. “To

    form the past tense, add an ED to the end of the infinitive form of the verb.” Computers are good at manipulating symbols according to rules. Semantics
  14. Making sense of language Syntax Rules for transforming symbols. “To

    form the past tense, add an ED to the end of the infinitive form of the verb.” Computers are good at manipulating symbols according to rules. Semantics The meaning of the words we use.
  15. Making sense of language Syntax Rules for transforming symbols. “To

    form the past tense, add an ED to the end of the infinitive form of the verb.” Computers are good at manipulating symbols according to rules. Semantics The meaning of the words we use. “Hund” means “perro” in English.
  16. Making sense of language Syntax Rules for transforming symbols. “To

    form the past tense, add an ED to the end of the infinitive form of the verb.” Computers are good at manipulating symbols according to rules. Semantics The meaning of the words we use. “Hund” means “perro” in English. Can computers grasp meanings?