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abstract: |-
We study self-referential sentences of the type related to the Liar paradox. In particular, we consider the problem of assigning consistent fuzzy truth values to collections of self-referential sentences. We show that the problem can be reduced to the solution of a system of nonlinear equations.
Furthermore, we prove that, under mild conditions, such a system always has a solution (i.e. a consistent truth value assignment) and that, for a particular implementation of logical ``and'', ``or'' and ``negation'', the ``mid-point''
solution is always consistent. Next we turn to computational issues and present several truth-value assignment algorithms; we argue that these algorithms can be understood as generalized sequential reasoning. In an Appendix we present a large number of examples of self-referential collections (including the Liar and the strengthened Liar), we formulate the corresponding truth value equations and solve them analytically and/ or numerically.
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- kehagiat
creators_name:
- family: Vezerides
given: Kostis
honourific: ''
lineage: ''
- family: Kehagias
given: Athanasios
honourific: Dr.
lineage: ''
date: 2003-09
date_type: published
datestamp: 2003-10-04
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eprintid: 3171
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keywords: 'Self-reference, liar paradox, truth, fuzzy logic, nonlinear equations, root finding algorithms'
lastmod: 2011-03-11 08:55:21
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rev_number: 10
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status_changed: 2007-09-12 16:48:49
subjects:
- cog-psy
- phil-logic
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title: The Liar and Related Paradoxes:Fuzzy Truth Value Assignment for Collections of Self-Referential Sentences
type: preprint
userid: 4320
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