Machine Learning as Iterated Belief Change a la Darwiche and Pearl

ArXi:2506.13157v3 Announce Type: replace-cross Artificial Neural Networks (ANNs) are powerful machine-learning models capable of capturing intricate non-linear relationships. They are widely used nowadays across numerous scientific and engineering domains, driving advancements in both research and real-world applications. In our recent work, we focused on the statics and dynamics of a particular subclass of ANNs, which we refer to as binary ANNs.