Probabilistic Model Based on Hausdorff Measures to Represent Unconscious and Conscious Activity of Human Brain

Explore a 26-minute conference talk from the Models of Consciousness Conference that presents a mathematical framework using Hausdorff measures to model conscious and unconscious brain processes. Learn how coherent upper and lower conditional probabilities can represent different aspects of human cognitive processing when presented with information. Discover mathematical explanations for common cognitive biases, including the conjunction fallacy in Linda's Problem and selective attention demonstrated in the invisible Gorilla experiment. Examine how unexpected events and varying human reactions can be modeled using different metric spaces and fractal measures, while also understanding how this probabilistic model can be applied to represent stereotypes in human thinking.