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This paper surveys the historical and theoretical foundations of computational belief change, tracing the evolution from Doyle's taxonomy to the AGM framework and providing an implementation roadmap for contemporary approaches.
This paper presents a new paraconsistent AGM-like abductive expansion operation that can assimilate contradictory explanatory hypotheses without trivialization, based on the paraconsistent logic RCbr. It is the first operation of its kind in the AGM literature.