Reality is your brain's best guess - Big Think - 0 views
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reality brain guess predictive processing misinformation self psychology
shared by Javier E on 16 Jul 23
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Andy Clark admits it’s strange that he took up “predictive processing,” an ambitious leading theory of how the brain works. A philosopher of mind at the University of Sussex, he has devoted his career to how thinking doesn’t occur just between the ears—that it flows through our bodies, tools, and environments. “The external world is functioning as part of our cognitive machinery
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But 15 years ago, he realized that had to come back to the center of the system: the brain. And he found that predictive processing provided the essential links among the brain, body, and world.
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There’s a traditional view that goes back at least to Descartes that perception was about the imprinting of the outside world onto the sense organs. In 20th-century artificial intelligence and neuroscience, vision was a feed-forward process in which you took in pixel-level information, refined it into a two and a half–dimensional sketch, and then refined that into a full world model.
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a new book, The Experience Machine: How Our Minds Predict and Shape Reality, which is remarkable for how it connects the high-level concepts to everyday examples of how our brains make predictions, how that process can lead us astray, and what we can do about it.
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being driven to stay within your own viability envelope is crucial to the kind of intelligence that we know about—the kind of intelligence that we are
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If you ask what is a predictive brain for, the answer has to be: staying alive. Predictive brains are a way of staying within your viability envelope as an embodied biological organism: getting food when you need it, getting water when you need it.
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in predictive processing, perception is structured around prediction. Perception is about the brain having a guess at what’s most likely to be out there and then using sensory information to refine the guess.
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artificial curiosity. Predictive-processing systems automatically have that. They’re set up so that they predict the conditions of their own survival, and they’re always trying to get rid of prediction errors. But if they’ve solved all their practical problems and they’ve got nothing else to do, then they’ll just explore. Getting rid of any error is going to be a good thing for them. If you’re a creature like that, you’re going to be a really good learning system. You’re going to love to inhabit the environments that you can learn most from, where the problems are not too simple, not too hard, but just right.
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It’s an effect that you also see in Marieke Jepma et al.’s work on pain. They showed that if you predict intense pain, the signal that you get will be interpreted as more painful than it would otherwise be, and vice versa. Then they asked why you don’t correct your misimpression. If it’s my expectation that is making it feel more painful, why don’t I get prediction errors that correct it?
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The reason is that there are no errors. You’re expecting a certain level of pain, and your prediction helps bring that level about; there is nothing for you to correct. In fact, you’ve got confirmation of your own prediction. So it can be a vicious circle
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Do you think this self-fulfilling loop in psychosis and pain perception helps to account for misinformation in our society’s and people’s susceptibility to certain narratives?Absolutely. We all have these vulnerabilities and self-fulfilling cycles. We look at the places that tend to support the models that we already have, because that’s often how we judge whether the information is good or not
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Given that we know we’re vulnerable to self-fulfilling information loops, how can we make sure we don’t get locked into a belief?Unfortunately, it’s really difficult. The most potent intervention is to remind ourselves that we sample the world in ways that are guided by the models that we’ve currently got. The structures of science are there to push back against our natural tendency to cherry-pick.