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05-turing-test.pdf

2867bb020c276f3785326ea3b8683b29?s=47 GeorgeMatthews
January 22, 2019
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 05-turing-test.pdf

2867bb020c276f3785326ea3b8683b29?s=128

GeorgeMatthews

January 22, 2019
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Transcript

  1. Can machines really think? The Turing Test and the Chinese

    Room George Matthews CC 2017
  2. From Functionalism to AI

  3. From Functionalism to AI

  4. 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?
  5. Possibilities

  6. Possibilities

  7. Possibilities Logical: there is no contradiction in the idea of

    a thinking machine.
  8. Possibilities Logical: there is no contradiction in the idea of

    a thinking machine. Physical: thinking machines do not violate the laws of physics.
  9. 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.
  10. 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.
  11. The Turing Test

  12. The Turing Test How can we tell whether a machine

    is intelligent?
  13. The Turing Test How can we tell whether a machine

    is intelligent? ! Don’t we have to define intelligence first?
  14. 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?
  15. 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.
  16. 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.
  17. The Chinese Room

  18. The Chinese Room Searle doesn’t understand Chinese.

  19. The Chinese Room Searle doesn’t understand Chinese. The instruction book

    enables the room to pass the Turing Test.
  20. The Chinese Room Searle doesn’t understand Chinese. The instruction book

    enables the room to pass the Turing Test. Computers function like this.
  21. 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.
  22. Making sense of language

  23. Making sense of language

  24. Making sense of language Syntax

  25. Making sense of language Syntax Rules for transforming symbols.

  26. 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.”
  27. 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.
  28. 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
  29. 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.
  30. 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.
  31. 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?