Transcript ppt

Biswanath Patel
Gaurav Bubna
Amit Gupta
Swapnesh Garg
Chandra Mohan Meena
Introduction
 Definition of Intelligence.
 Turing’s solution.
 “Machine Learning”
 Views from many disciplines.
 Controversial – Extreme reactions.
 “Cornerstone” of AI research.
Outline
 Turing’s original 1950 paper – Addressed objections.
 Subsequent discussion over the years.
 Modifications to the Imitation Game.
 Present state of research – Loebner prize.
 State-of-the-art – CAPTCHA.
The Imitation Game
 The oft-repeated question –
Can machines “think”?
 Turing’s version – “Can machines
play the imitation game?”.
 Focus on intellectual capacity
 Does not limit thinking to specific
tasks - any topic possible.
Initial objections & refutations
 The Theological Objection
 The Mathematical Objection
 Various Disabilities
 Continuity of the human nervous system
 Informality of Behaviour arguments
 Extra-sensory perception – intuition, telepathy
Later discussions (Chronological)
(1) Gunderson (1964)
 ‘Part of what things do is how they do it’.
 The classic example – Birds vs airplanes.
 “In the end, the steam drill outlasted John Henry as a
digger of railway tunnels, but that didn’t prove the machine
had muscles; it proved that muscles were not needed for
digging railway tunnels.”
Other discussions
(2) Searle’s Chinese Room (1980)
 Mind's role in intelligence.
(3) Michie (1996)
 "How do you pronounce the plurals of the imaginary
English words ‘platch’, ‘snorp’ and ‘brell’?" (‘platchez’,
‘snorpss’ and ‘brellz’.)
Other discussions (contd.)
(4) Ted Block (1995)
 All possible sensible conversations stored - The set of
strings constituting such conversations that can be
carried out in a fixed amount of time are finite and
thus can be enumerated.
 Simple “lookup and write-out”- just sophisticated
information processing.
Variants of the Turing Test
 Total Turing Test (TTT) –
 “Robotic” in addition to linguistic capabilities.
 Chimpanzee
 Totally Total Turing Test (TTTT) –
 “Neuromolecular Indistinguishability”
 Kugel Test (KT).
 Application in addition to learning.
 Inverted Turing Test (ITT).
 Truly Total Turing Test (TRTTT).
 Evolution of machines.
 “Types” and “tokens”
Graphics Turing Test
 Subjects interact with real or computer generated
scene.
 Judge determines if real or not.
 If the judge is unable to do so, computer passes the
test.
Interactive Cinema
 When watching a movie, one wishes it turned out
differently.
 Plug in a laptop, make movie on the fly.
 Similar to video games.
 Each frame requires 2 hrs on 2.4 GHz Pentium
processor. At 30 fps, 2 hr movie – 216,000 computers’
power required – so present computational capability
is under equipped.
State-of-the-art
 “By the year 2000 it would be feasible to write a
program that would, after five minutes of questioning,
have at least a 30% chance of fooling an average
conversational partner into believing it was a human
being” – Turing
 Loebner Prize –
• $3000 – Best in the year.
• $25,000 – A text-only test.
• $ 100,000 – The final prize
ELIZA
 Joseph Weizenbaum, MIT, 1964-1966.
 Simulates a psychotherapist. Urges user to continue
talking.
 Simple parsing to recognize keywords.
 Pattern matching and substitution.
ALICE
 Richard Wallace. (1995)
 3 times winner of Loebner prize.
 Uses AIML (XML driven open source AI language)
 Supervised learning.
 “Stateless conversation”
CAPTCHA
 Completely Automated Public Turing Test to tell
Computer and Humans Apart.
 Poll Results, Email registrations, etc
 Types of Captcha
 Visual Captcha
 Audio Captcha
Break a Captcha
 To Break down a visual captcha we have three steps:
 Background Subtraction
 Segmentation
 Recognition
Captcha’s like this have been solved
Conclusion
 Helps advance the state of AI.
 Summary of the Turing Test – A new interpretation of
intelligence independent of computation.
 Fermat’s Last Theorem – “Better late than never”. A similar
case?
 Moravec’s Paradox – Chasing after the wrong thing?
 A new paradigm of AI research – future direction?
References

1) A. M. Turing. "Computing machinery and intelligence", MIND - A QUARTERLY REVIEW OF PSYCHOLOGY AND
PHILOSOPHY {p.433} [VOL. LIX. No.236.] [October, 1950]

2) http://en.wikipedia.org/
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3) "Turing Test: 50 Years Later". AYSE PINAR SAYGIN , ILYAS CICEKLI & VAROL AKMAN. Minds and Machines 10:
463–518, 2000.© 2001 Kluwer Academic Publishers.

4) Harnad, S. (1991) "Other bodies, Other minds: A machine incarnation of an old philosophical problem", Minds and
Machines 1: 43-54. Copyright 1992 Kluwer Academic Publishers
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5)Gunderson, K. (1964), ‘The Imitation Game’, Mind 73 pp. 234–245.
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6) Hofstadter, D.R. (1982), ‘The Turing Test: A Coffee-House Conversation’, in D. Hofstadter and D. Dennett, eds. The
Mind’s I: Fantasies and Reflections on Self and Soul, London, UK: Penguin Books, pp. 69–95.
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7) AIML : http://www.alicebot.org/TR/2001/WD-aiml/
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8) Book : The Anatomy of A.L.I.C.E., Dr. Richard S. Wallace, A.L.I.C.E. Artificial Intelligence Foundation, Inc., 1995.
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9) arXiv:cs/0603132v1 [cs.GR] 31 Mar 2006 Graphics Turing Test. Michael McGuigan Brookhaven National Laboratory,
Upton NY 11973, [email protected]