Multi-agent AI and Mixture of Experts (MoE) systems utilize symbolic functions to facilitate communication and coordination between neural models. In this paradigm, symbolic reasoning mediates interactions and enforces constraints, while neural components adapt and learn from collective behaviors to enable robust problem-solving in complex environments.

Authors

• Person: Not available Organization: arXiv
  Unlocking the Potential of Generative AI through Neuro-Symbolic ...

Sources

• Unlocking the Potential of Generative AI through Neuro-Symbolic ... arxiv.org arXiv via serper

Referenced by nodes (3)

• symbolic reasoning concept
• Mixture of Experts (MoE) concept
• neural network models concept