Incremental learning for evolving symbolic systems

Develop incremental learning approaches that enable the symbolic components of Neuro-Symbolic AI systems to evolve with new experiences while maintaining consistency with previously acquired knowledge.

Background

The review synthesizes work on integrating symbolic reasoning with neural learning and planning. The authors explicitly state that supporting continuous evolution of symbolic knowledge through incremental learning in neuro-symbolic systems remains unresolved.