Inverse Bayesian inference as a key of consciousness featuring a macroscopic quantum logical structure.
Bio Systems February 1, 2017 Yukio-Pegio Gunji, Shuji Shinohara, Taichi Haruna et al.
A measurement-oriented inference system that combines Bayesian and inverse Bayesian inferences can bridge the gap between mind and matter without relying on quantum mechanics. Bayesian inference contracts probability space while inverse inference relaxes it, enabling an agent to make decisions that adapt to immediate environmental changes. This process generates a pattern of joint probability for data and hypotheses, forming a nondistributive orthomodular lattice equivalent to quantum logic. The model shows that such a lattice can reveal information generated by inverse syllogism and address the frame and symbol-grounding problems. This is the first model to connect macroscopic cognitive processes with the mathematical structure of quantum mechanics without additional assumptions.