Fixes typo
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@ -129,7 +129,7 @@
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Another important problem is defining the word "effective".
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Another important problem is defining the word "effective".
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I suppose that "effective" would mean capable of solving fluid analogy problems, producing similar answers to an identically biased human.
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I suppose that "effective" would mean capable of solving fluid analogy problems, producing similar answers to an identically biased human.
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However, it isn't clear to me that removing temperature increases the ability to solve problems effectively.
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However, it isn't clear to me that removing temperature increases the ability to solve problems effectively.
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Is this because models are aloud to have centralized structures, or because temperature isn't the only centralized structure?
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Is this because models are allowed to have centralized structures, or because temperature isn't the only centralized structure?
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Clearly, creating a model of copycat that doesn't have centralized structures will take an excessive amount of effort.
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Clearly, creating a model of copycat that doesn't have centralized structures will take an excessive amount of effort.
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@ -199,8 +199,6 @@ Values beneath $1.05$ essentially leave probabilities unaffected, producing no s
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\lstinputlisting[language=Python]{formulas/best.py}
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\lstinputlisting[language=Python]{formulas/best.py}
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\newline
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Random thought:
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Random thought:
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It would be interesting to not hardcode the value of $r$, but to instead leave it as a variable between $0$ and $2$ that changes depending on frustration.
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It would be interesting to not hardcode the value of $r$, but to instead leave it as a variable between $0$ and $2$ that changes depending on frustration.
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However, this would be much like temperature in the first place....?
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However, this would be much like temperature in the first place....?
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