Distilling Neuro-Symbolic AI

What is Neuro-Symbolic AI

Neuro-Symbolic AI Problem Statement: In the evolving landscape of Artificial Intelligence, there exists a pressing need for system capable of learning from experience and subsequently reasoning about the acquired knowledge from uncertain environments. These systems, inspired by temporal logic, should be adept at handling changes in their environment, emphasizing the computational efficiency of their learning processes. Central to their reasoning capabilities are the foundational principles of abduction, deduction, and induction, which collectively form the cornerstone of a neuro-symbolic AI approach.