The iterative neuro-symbolic architecture processes non-symbolic data input (x) through a neural network (NN) and a symbolic reasoning engine (R) to produce a symbolic reasoning output (Ot) at iteration t, where the symbolic reasoning engine updates the intermediate symbolic representation (St) based on the neural output, continuing until the outputs converge or a maximum number of iterations (T) is reached.

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 (1)

• artificial neural networks concept