A Deep Computational Phenomenology of MPE as Metacognitive Free Energy Optimization
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Explore a computational model of minimal phenomenal experience (MPE) in this 30-minute conference talk from the Models of Consciousness Conference. Delve into how Bayesian mechanics and the free energy principle can formalize phenomenological dynamics by relating experience to belief dynamics. Learn about the hierarchical architecture where higher-level inferences govern parameters of lower-level inferential processes. Understand how MPE relates to a free energy minimum emerging at the metacognitive level as individuals develop generative models defining belief spaces.
Syllabus
Lars Sandved-Smith - A deep computational phenomenology of MPE as metacognitive free energy opti...
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Models of Consciousness Conferences