Melanie  Mitchell

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Melanie Mitchell


Born
The United States
Website

Twitter

Genre

Influences


Melanie Mitchell is a professor of computer science at Portland State University. She has worked at the Santa Fe Institute and Los Alamos National Laboratory. Her major work has been in the areas of analogical reasoning, complex systems, genetic algorithms and cellular automata, and her publications in those fields are frequently cited.

She received her PhD in 1990 from the University of Michigan under Douglas Hofstadter and John Holland, for which she developed the Copycat cognitive architecture. She is the author of "Analogy-Making as Perception", essentially a book about Copycat. She has also critiqued Stephen Wolfram's A New Kind of Science and showed that genetic algorithms could find better solutions to the majority problem for one-dim
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Average rating: 4.22 · 7,492 ratings · 830 reviews · 17 distinct worksSimilar authors
Artificial Intelligence: A ...

4.34 avg rating — 3,768 ratings — published 2019 — 23 editions
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Complexity: A Guided Tour

4.11 avg rating — 3,487 ratings — published 2009 — 12 editions
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An Introduction to Genetic ...

3.81 avg rating — 219 ratings — published 1996 — 6 editions
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Analogy-Making as Perceptio...

4.13 avg rating — 8 ratings — published 1993 — 4 editions
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Standing Out with SEO: Expe...

really liked it 4.00 avg rating — 2 ratings — published 2012 — 4 editions
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SEO & PPC: Better Together

liked it 3.00 avg rating — 1 rating — published 2012 — 3 editions
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复杂

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it was ok 2.00 avg rating — 1 rating3 editions
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Integrating Technology and ...

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0.00 avg rating — 0 ratings — published 2004 — 2 editions
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Measure the Impact of Onlin...

0.00 avg rating — 0 ratings — published 2012
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Unleash the Power of Paid S...

0.00 avg rating — 0 ratings — published 2012 — 4 editions
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Quotes by Melanie Mitchell  (?)
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“as the AI researcher Pedro Domingos so memorably put it, “People worry that computers will get too smart and take over the world, but the real problem is that they’re too stupid and they’ve already taken over the world.”21”
Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans

“We should be afraid. Not of intelligent machines. But of machines making decisions that they do not have the intelligence to make. I am far more afraid of machine stupidity than of machine intelligence. Machine stupidity creates a tail risk. Machines can make many many good decisions and then one day fail spectacularly on a tail event that did not appear in their training data. This is the difference between specific and general intelligence.”
Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans

“This statement is not provable.” Think about it for a minute. It’s a strange statement, since it talks about itself—in fact, it asserts that it is not provable. Let’s call this statement “Statement A.” Now, suppose Statement A could indeed be proved. But then it would be false (since it states that it cannot be proved). That would mean a false statement could be proved—arithmetic would be inconsistent. Okay, let’s assume the opposite, that Statement A cannot be proved. That would mean that Statement A is true (because it asserts that it cannot be proved), but then there is a true statement that cannot be proved—arithmetic would be incomplete. Ergo, arithmetic is either inconsistent or incomplete.”
Melanie Mitchell, Complexity: A Guided Tour

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