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Frases de Terry Winograd

Terry Allen Winograd é um cientista da computação estadunidense, professor da Universidade Stanford, e co-diretor do grupo de interação humano-computador de Stanford. É conhecido nas áreas de filosofia da mente e inteligência artificial por seu trabalho sobre língua natural usando o programa SHRDLU.

É membro da Association for Computing Machinery desde 2009. Recebeu o SIGCHI Lifetime Research Award de 2011. Wikipedia  

✵ 24. Fevereiro 1946
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Terry Winograd: 7   citações 0   Curtidas

Terry Winograd: Frases em inglês

“Seekers after the glitter of intelligence are misguided in trying to cast it in the base metal of computing.”

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Terry Winograd

"Thinking Machines: Can there be? Are we?", in The Boundaries of Humanity: Humans, Animals, Machines (1991), ed. James J. Sheehan and Morton Sosna, p. 216.
Contexto: Seekers after the glitter of intelligence are misguided in trying to cast it in the base metal of computing. There is an amusing epilogue to this analogy: in fact, the alchemists were right. Lead can be converted into gold by a particle accelerator hurling appropriate beams at lead targets. The AI visionaries may be right in the same way, and they are likely to be wrong in the same way.

“What surprised me, which Google was part of, is that superficial search techniques over large bodies of stuff could get you what you wanted. I grew up in the AI tradition, where you have a complete conceptual model, and the information retrieval tradition, where you have complex vectors of key terms and Boolean queries. The idea that you can index billions of pages and look for a word and get what you want is quite a trick. To put it in more abstract terms, it's the power of using simple techniques over very large numbers versus doing carefully constructed systematic analysis.”

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Terry Winograd

"Talking with Terry Winograd" http://www.acm.org/ubiquity/interviews/t_winograd_1.html, Ubiquity 3 (23), 29 July 2002.

“If we assume that the person asking the question is serious, there is an underlying background of purposes and understanding (the 'horizon' as Gadamer calls it) into which the question fits. If a questioner were to ask "Can pigs have wings?" a respondent within the analytic tradition might have difficulty answering, because although the idea is outrageously farfetched, current work in genetic engineering does leave open the logical possibility of creating a beast with the desired characteristics. Admittedly, there might be some refuge in challenging the asker as to whether such a monstrosity would still properly be called a pig,11 thereby invalidating the question. But if the question were asked seriously, neither the logical possibility nor the precise meaning of "pig" would be the issue at hand. The questioner would be asking for some reason in some background of understanding and purpose, and the appropriate answer (just like the appropriate answer to "Is there water in the refrigerator?") would have to be relevant to that background.”

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Terry Winograd

Understanding Computers and Cognition: A New Foundation for Design (1986, with Fernando Flores), p. 105.
<sup>11</sup> See, for example Putnam's discussion of natural kinds in "Is semantics possible?" (1970).

“The main activity of programming is not the origination of new independent programs, but in the integration, modification, and explanation of existing ones.”

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Terry Winograd

"Beyond Programming Languages", in Artificial intelligence & software engineering (1991), ed. Derek Partridge, p. 317.

“There is a tendency to throw computers at third world problems, which I think is often a distraction. Putting computers in the schools is great, but it may be more important to put teachers in the schools.”

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Terry Winograd

"Talking with Terry Winograd" http://www.acm.org/ubiquity/interviews/t_winograd_1.html, Ubiquity 3 (23), 29 July 2002.

“The techniques of artificial intelligence are to the mind what bureaucracy is to human social interaction.”

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Terry Winograd

"Thinking Machines: Can there be? Are we?", in The Boundaries of Humanity: Humans, Animals, Machines (1991), ed. James J. Sheehan and Morton Sosna, p. 213

“A reason to have computers understand natural language is that it’s an extremely effective way of communicating. What I came to realize is that the success of the communication depends on the real intelligence on the part of the listener, and that there are many other ways of communicating with a computer that can be more effective, given that it doesn’t have the intelligence.”

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Terry Winograd

Interview in Bill Moggridge, Designing Interactions (2007), ch. 7 http://www.designinginteractions.com/interviews/TerryWinograd