Since posting discussions about bridging the gap between symbolic and subsymbolic, (see related posts) I have formulated a simple postulate, and assigned a DOI so that anone following up on these discussions can cite the contribution accordingly. I ll be happy to review the postulate with comments and suggestions if any To support AI explainability, learnability,verifiability and reproducibility, it is postulated that for each MLA *machine learning algorithm, there should correspond a natural language expression or other type of symbolic knowledge representation https://doi.org/10.6084/m9.figshare.9730268.v2 https://figshare.com/articles/A_New_Postulate_for_Knowledge_Representation_in_AI/9730268
Received on Monday, 26 August 2019 02:27:37 UTC