Promising future directions for neuro-symbolic AI include neuro-vector-symbolic architectures, which incorporate vector manipulation to enhance agentic reasoning capabilities, and generative encoding, which embeds agentic logical steps into text vectorization for advanced sample selection for in-context learning of LLM-empowered agents.

Authors

• Person: Not available Organization: arXiv
  The Synergy of Symbolic and Connectionist AI in LLM-Empowered ...

Sources

• The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org arXiv via serper

Referenced by nodes (3)

• Neuro-symbolic artificial intelligence concept
• In-Context Learning concept
• LLM-based agent concept