This is a Plain English Papers summary of a research paper called Explainable AI: Neural Nets + Logic Solve MNIST & Sudoku. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- Combines neural networks for perception with rule-based reasoning
- Transforms neural network probabilities into possibility distributions
- Introduces methods for defining matrix relations in possibilistic systems
- Tests on MNIST addition and Sudoku puzzles show strong results
- Uses intermediate concepts to explain classifications
Plain English Explanation
Neural networks are great at recognizing patterns, but they often work like a black box. This research combines them with logical rules to make their decisions more transparent and un...
