Humor employs an essential false logic which masks the incongruity of two central meanings that are brought into overlap. Formalizing this false logic-if it exists, exists inter-subjectively, and is indeed essential for humor-to a degree that is sufficient for computational detection and generation of humor has been a vexing problem for computational humor research. This paper will outline several such logics, in addition to the default of reasoning in a way that is one degree more implausibly than the most common-sense logic that can connect two meanings. The results are not least influenced by a pilot "study asking participants to explain different types of jokes.
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