Title
Finite-valued Logics for Information Processing
Abstract
We examine the issue of collecting and processing information from various sources, which involves handling incomplete and inconsistent information. Inspired by the framework first proposed by Belnap, we consider structures consisting of information sources which provide information about the values of formulas of classical propositional logic, and a processor which collects that information and extends it by deriving conclusions following from it according to the truth tables of classical logic, applied forward and backward. Our model extends Belnap's in allowing the sources to provide information also about complex formulas. As that framework cannot be captured using finite ordinary logical matrices, if we want to represent each of the relevant logics with a single matrix, we employ Nmatrices for that purpose. In opposition to the approach proposed in our earlier work, we assume that the information sources are reasonable, i.e. that they provide information consistent with certain coherence rules. We provide sound and complete sequent calculi admitting strong cut elimination for the logic of a single information source, and (several variants of) the logic generated by the source and processor structures described above. In doing this, we also provide new characterizations for some known logics. We prove that, in opposition to the variantwith unconstrained information sources considered earlier, the latter logic cannot be generated by structures with any bounded number of sources.
Year
DOI
Venue
2012
10.3233/FI-2011-615
Fundam. Inform.
Keywords
Field
DocType
classical logic,information source,relevant logic,information processing,processing information,single information source,inconsistent information,latter logic,known logic,variantwith unconstrained information source,finite-valued logics,classical propositional logic,incomplete information
T-norm fuzzy logics,Discrete mathematics,Information processing,Propositional calculus,Classical logic,Monoidal t-norm logic,Sequent,Information algebra,Mathematics,Complete information
Journal
Volume
Issue
ISSN
114
1
0169-2968
Citations 
PageRank 
References 
3
1.42
8
Authors
2
Name
Order
Citations
PageRank
Arnon Avron11292147.65
Beata Konikowska222222.99