Interpreting noisy data through a retrocausal lens begins by relaxing the assumption that causes must …
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Neural path integrals extend the classical path integral formulation of physics to describe information processing …
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Predictive systems, whether human cognition or machine learning models, are always situated in time, and …
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When people imagine how things could have turned out differently, they are engaging in counterfactual …
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In modern physics, most fundamental equations are time-symmetric: they work just as well if we …
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The earliest foundations of the self are not abstract philosophical constructs but patterns of neural …
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Predictive homeostasis reframes the classic idea of physiological balance by emphasizing the role of the …
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In many everyday situations, the critical variable is not just what information is available, but …
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Modeling temporal paradoxes in probabilistic graphs begins by relaxing the default assumption that causes always …
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Temporal discounting refers to the systematic devaluation of outcomes as they recede into the future, …