Abstract
We propose a new operation of belief revision, called permissive belief revision. The underlying idea of permissive belief revision is to replace the beliefs that are abandoned by traditional theories with weaker ones, entailed by them, that still keep the resulting belief set consistent. This framework allows us to keep more beliefs than what is usual using existent belief base-based revision theories.
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Cravo, M.R., Cachopo, J.P., Cachopo, A.C., Martins, J.P. (2001). Permissive Belief Revision. In: Brazdil, P., Jorge, A. (eds) Progress in Artificial Intelligence. EPIA 2001. Lecture Notes in Computer Science(), vol 2258. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45329-6_33
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DOI: https://doi.org/10.1007/3-540-45329-6_33
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