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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
Action
Reasoning
Used
Planning
Problem
Forth
Winston
Wanted
Solve
Patrick
Even
Problems
Explored
Needed
Structural
Learning
Robot
Vision
Robots

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General fiction is pretty much about ways that people get into problems and screw their lives up. Science fiction is about everything else.
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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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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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In general, we’re least aware of what our minds do best.
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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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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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We turn to quantities when we can't compare the qualities of things.
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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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An ethicist is somebody who sees something wrong with whatever you have in mind.
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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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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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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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Societies need rules that make no sense for individuals. For example, it makes no difference whether a single car drives on the left or on the right. But it makes all the difference when there are many cars!
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Everything is similar if you're willing to look far out of focus.
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