AI & ML
Merging and Evolution of Data Bases: A Many-Logic Approach
arXiv cs.DB0 views
arXiv:2610.40812v1 Announce Type: cross Abstract: A new approach to information-based logics using many-logic modal structures (MLMSs) was recently proposed by Martins et al. In such a setting, it is possible to have worlds with different underlying logics within the same frame, all anchored to a base lattice that contains the semantics of each logic as a down-complete sublattice. In this paper, we take the lattice L6, defined by the six-valued semantics of the logic of evidence and truth LET + K , as our base lattice. We also consider four-, three-, and two-valued formal systems associated with down-complete sublattices of L6. These logics are capable of representing paracomplete, paraconsistent, and classical contexts with six, four, three, and two informational scenarios, respectively. As applications of MLMSs, we will discuss the merging and temporal evolution of databases whose underlying logics are two-, three-, four-, and six-valued. We will also investigate inconsistency measures in this context.
Source:https://arxiv.org/abs/2610.40812PreviousCypherGuard: Database-Grounded Correction for Reliable Text-to-CypherNextA Multimodal Type 2 Diabetes Registry on DHIS2: A Design and Feasibility Study with the AI-READI Dataset
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