The co-occurrence test for non-monotonic inference

作者:

摘要

According to the co-occurrence test, q is (non-monotonically) inferrible from p if and only if q holds in all the reasonably plausible belief change outcomes in which p holds. A formal model is introduced that contains representations of both the co-occurrence test (for non-monotonic inference) and the Ramsey test (for conditionals). In this model, (non-nested) conditionals and non-monotonic inference satisfy the same logical principles. However, in spite of this similarity the two notions do not coincide. They should be carefully distinguished from each other.

论文关键词:Co-occurrence test,Ramsey test,Conditionals,Non-monotonic inference,Belief revision,Descriptor revision

论文评审过程:Received 28 July 2015, Revised 27 November 2015, Accepted 25 January 2016, Available online 26 January 2016, Version of Record 9 February 2016.

论文官网地址:https://doi.org/10.1016/j.artint.2016.01.012