Binary ANN training dynamics are modeled as iterated belief change via lexicographic revision and moderate contraction in the Darwiche-Pearl framework, extending prior AGM-based analysis.
Capturing and modeling the process of conceptual change
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Machine Learning as Iterated Belief Change a la Darwiche and Pearl
Binary ANN training dynamics are modeled as iterated belief change via lexicographic revision and moderate contraction in the Darwiche-Pearl framework, extending prior AGM-based analysis.