https://ciforadenantantagonist.....com/mir-150-manages
In this analysis, I suggest that to be able to comprehend activities, we take part hierarchical generative models that "reverse engineer" the objectives of various other agents because they create sequential activity in real-time. By producing probabilistic predictions for upcoming events, generative models ensure that we are able to match the quick rate at which perceptual inputs unfold. By monitoring our certainty about other representatives' targets and also the magnitude of prediction error
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