G.Joly@cs.ucl.ac.uk (Gordon Joly) (06/03/91)
If we conjecture that the Turing Test will always fail, since we could always, in principle and given enough time, "see through" an artificial mind, the "time to discovery" could form the basis of an alternative. Compare this approach with the way in which Eliza (Doctor) did - "you can fool some of the people some of the time." The Turing Test Quotient (TTQ) is a metric based on the average amount of time before n people can spot that a given AI system is not real intelligence. In we had a sample of n=1000, that would be the TTQ of order 1000. The (time) unit would be the average of all subjects, with an upper time limit of exposure (not boundless, see above) calculated from a trial sample, of perhaps n/10. The TTQ will be a log scale measure. An average time of 6 mins is 1 unit on the scale, with an average of 60 mins will be 2 units, 600 mins give 3 units and so on. I guess a 3 to 4 unit system, of order n=1000, might be of some real use, as a general purpose, common sense, AI system. The experiments should be done double blind. ____ Gordon Joly +44 71 387 7050 ext 3716 Internet: G.Joly@cs.ucl.ac.uk UUCP: ...!{uunet,ukc}!ucl-cs!G.Joly Computer Science, University College London, Gower Street, LONDON WC1E 6BT Drop a utensil.