Curiosity as a probability algorithm - Deepstash
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Curiosity as a probability algorithm

Curiosity as a probability algorithm

Scientists who study the mechanics of curiosity are finding that it is, at its core, a kind of probability algorithm—our brain’s continuous calculation of which path or action is likely to gain us the most knowledge in the least amount of time. Like the links on a Wikipedia page, curiosity builds upon itself, every question leading to the next. And as with a journey down the Wikipedia wormhole, where you start dictates where you might end up.

Curiosity is less about what you don’t know than about what you already do.

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Boredom alone can’t fully explain curiosity

Boredom alone can’t fully explain curiosity

The old view is that curiosity and boredom are opposite ends of the same continuum.

The new view: bored is not to curious as hungry is to full or thirsty is slaked. Rather, boredom is a signal that you’re not making good use of a part of the brain. And the...

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The information gap

The information gap

In a 1994 paper, George Loewenstein theorized that curiosity’s direction is determined by the “information gap,” the sudden awareness of what you don’t know and the immediate desire to fill that gap.

But for the information gap to set its hook, though, it can’t be ...

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Curiosity and evolution

Curiosity and evolution

From an evolutionary perspective, there’s good reason to keep looking, to be curious.

Information helps us make better choices and adapt to a changing environment.

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The paradox of curiosity

The paradox of curiosity

Curiosity doesn’t seem to be tied to any specific reward.

It makes sense for organisms to seek food, water, sex, shelter, rest, wealth, or any of the other myriad nourishing and pleasant things in life. But what is the good of deducing the nature of gravity, or of goin...

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