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TURNING EMPIRICAL TESTS FOR “THOUGHT” ?
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Alan Turing (1912 – 1954) Mathematician Created concept of computation before computers Code breaker War hero Victim of prejudice
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The Imitation Game Three people, A (man), B (woman), C (interrogator). A and B hidden in room and communicate with C by “teletype” [email]. A tries to confuse C. B tries to help. Can C tell which of A and B is the man? [What essential idea is Turing developing?]
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Machine Imitation Game Suppose an interrogator has to decide which of the two hidden entities is the machine. Could s/he do it? Question: what is a machine? Answer: a digital computer. [digital versus analog]
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Turing Machines Central Concepts Discrete [digital] State Machines States [finitely many, distinct] Inputs [ditto] Outputs [ditto] Change of state [ditto] Machine table: specifies all possible sets of the above for a given machine.
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Refinement of Question “Are there imaginable computers which could do well in the imitation game? (324)
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Turing’s Prediction By the year 2000, “the average interrogator will no have more than 70% chance of making the right identification after five minutes of questioning” (324)
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Objection 1 The Theological Objection Thinking requires a soul and God gives souls to all humans but to no machines. REPLY: God could give a soul to any animal – if it has a “brain” [sufficiently complex] “to minister to the needs of the soul.” SO: can a machine “brain” be sufficiently complex that God could give it a soul? [We return to the same question again.]
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Objection 2 “Head in the Sand” Objection The idea is horrible, repulsive, etc. Reply: this sort of objection is merely an expression of our sense of superiority.
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Objection 3 Argument from Consciousness: Machines will never have feelings. [There is nothing that it is like to be a machine. … Thomas Nagel] REPLY: One has to be a machine to answer the question, but the answer would be rejected. SO: this reply assumes solipsism.
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Objection 4 Various Disabilities Argument Machines will never be able to “Be kind, resourceful, …fall in love, etc…” Reply: How could you know? [We return to the same question again.]
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Objection 5 Lady Lovelace’s Objection: Machines do nothing new. REPLY: How do we know we can produce real novelty? How do we know machines cannot?
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Objection 6 Informality of Behavior Argument [Much like previous argument] People can revise their rules on the run. For example, decide to take day off while en route to UVic classes…. REPLY: So can machines.
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Learning Machines Machines can learn. Can have legs [arms, hands, etc…. motor capacities], eyes [ears, sensitive skin, etc.], …. SO: Machines could play the imitation game in an even more effective way.
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