Liar puzzles have been popularized by Raymond Smullyan in several books. This paper presents a logical and diagrammatic examination of such puzzles in terms of a epistemic truth values. Also, non-monotonic reasoning may occur as new information is learned about a puzzle. This paper presents a way to think about such non-monotonic reasoning which does not involve the use of a non-monotonic logic but instead utilizes context shifts among static logics. The information coming from the presented diagrams is timeless, it is a monotonic back-bone of the whole non-monotonic knowledge.
CITATION STYLE
Nagy, B., & Allwein, G. (2004). Diagrams and non-monotonicity in puzzles. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2980, pp. 82–96). Springer Verlag. https://doi.org/10.1007/978-3-540-25931-2_10
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