
Probabilistic Extension of Neuro-Symbolic AGI via IFOL_B
This research introduces a probabilistic framework for IFOL_B-based neuro-symbolic AGI, enabling logical reasoning under uncertainty. It utilizes Shannon's maximum information entropy to compute probability density functions for both global knowledge and local real-time decision-making.



