fast-slow-thinking

NeSyFS is a neuro-symbolic framework for LLM agents under partial observability that uses a knowledge graph to represent belief state, combines fast/slow thinking with uncertainty-aware planning, and reflection, showing gains on ALFWorld, Webshop, and ScienceWorld.

This paper presents a taxonomy of LLM reasoning strategies along two orthogonal axes: fast vs. slow thinking and internal vs. external knowledge, and surveys recent adaptive reasoning methods.