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We wanted to solve robot problems and needed some vision, action, reasoning, planning, and so forth. We even used some structural learning, such as was being explored by Patrick Winston.

Marvin Minsky

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Marvin Minsky
Age: 88 †
Born: 1927
Born: August 9
Died: 2016
Died: January 24
Artificial Intelligence Researcher
Computer Scientist
Mathematician
Scientist
University Teacher
New York City
New York
Marvin Lee Minsky
Marvin L. Minsky
Needed
Structural
Learning
Robot
Vision
Robots
Action
Reasoning
Used
Planning
Problem
Forth
Winston
Wanted
Solve
Patrick
Even
Problems
Explored

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Eventually, robots will make everything.
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The principal activities of brains are making changes in themselves.
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I believed in realism, as summarized by John McCarthy's comment to the effect that if we worked really hard, we'd have an intelligent system in from four to four hundred years.
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But just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations of intellectual processes in machines should lead to a science, eventually.
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Theorems often tell us complex truths about the simple things, but only rarely tell us simple truths about the complex ones. To believe otherwise is wishful thinking or mathematics envy.
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No computer has ever been designed that is ever aware of what it's doing but most of the time, we aren't either.
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How many processes are going on, to keep that teacup level in your grasp? There must be a hundred of them.
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Experience has shown that science frequently develops most fruitfully once we learn to examine the things that seem the simplest, instead of those that seem the most mysterious.
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This is a tricky domain because, unlike simple arithmetic, to solve a calculus problem - and in particular to perform integration - you have to be smart about which integration technique should be used: integration by partial fractions, integration by parts, and so on.
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Everything, including that which happens in our brains, depends on these and only on these: A set of fixed, deterministic laws.
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It would be as useless to perceive how things 'actually look' as it would be to watch the random dots on untuned television screens.
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An ethicist is somebody who sees something wrong with whatever you have in mind.
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Anyone could learn Lisp in one day, except that if they already knew Fortran, it would take three days.
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Once the computers got control, we might never get it back. We would survive at their sufferance. If we're lucky, they might decide to keep us as pets.
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But the big feature of human-level intelligence is not what it does when it is works but what it does when it's stuck.
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The secret of what anything means to us depends on how we've connected it to all the other things we know. That's why it's almost always wrong to seek the real meaning of anything. A thing with just one meaning has scarcely any meaning at all.
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There was a failure to recognize the deep problems in AI for instance, those captured in Blocks World. The people building physical robots learned nothing.
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One can acquire certainty only by amputating inquiry.
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Computer languages of the future will be more concerned with goals and less with procedures specified by the programmer.
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I cannot articulate enough to express my dislike to people who think that understanding spoils your experience... How would they know?
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