Integrating Three Models of (Human) Cognition
📖 Description
You may have heard a few things about "[predictive processing](https://slatestarcodex.com/2017/09/05/book-review-surfing-uncertainty/)" or "[the global neuronal workspace](https://www.lesswrong.com/s/ZbmRyDN8TCpBTZSip/p/x4n4jcoDP7xh5LWLq)," and you may have read some of [Steve Byrnes' excellent posts](https://www.alignmentforum.org/users/steve2152) about [what's going on computationally in the human brain](https://www.alignmentforum.org/posts/diruo47z32eprenTg/my-computational-framework-for-the-brain). But how does it all fit together? How can we begin to arrive at a unified computational picture of human intelligence, and how can it inform our efforts in AI safety and alignment? In this post, I endeavor to take steps towards these ends by integrating insights from three computational frameworks for modeling what's going on in the human brain, with the hope of laying an adequate foundation for more precisely talking about how the brain cognitively implements goal-directed behaviors:
📊 Game Impacts
| Variable | Change | Condition |
|---|---|---|
| Research | +10 | Always |
| Vibey Doom | +5 | Always |
| Ethics Risk | -5 | Always |
💭 Reactions
"Critical insights for the field"
"Discussed in AI safety community"
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