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A Double Team Semantics for Generalized Quantifiers.
1Institute of Computer Science, University of Wrocław, ul. Joliot-Curie 15, 50-383 Wroclaw, Poland ; Department of Philosophy, Stockholm University, 10-691 Stockholm, Sweden.
This study introduces generalized quantifiers and atoms into dependence logic, creating a unified semantic framework. This framework enables the fusion of two-variable dependence logic and two-variable logic with counting quantifiers, establishing new computational complexity results.
Area of Science:
- Mathematical Logic
- Theoretical Computer Science
Background:
- Dependence logic extends first-order logic by capturing dependencies between variables.
- Generalized quantifiers offer expressive power beyond standard quantifiers.
- Existing semantic frameworks for dependence logic variants lack unification.
Purpose of the Study:
- To extend dependence logic with generalized quantifiers and generalized atoms.
- To develop a unified semantic framework for these extended logics.
- To define and analyze a novel fused logic combining two-variable dependence logic and two-variable logic with counting quantifiers.
Main Methods:
- Introduction of a novel "double team" semantics based on pairs of teams.
- Development of an equivalent game-theoretic semantics.
- Construction of a fused logic [Formula: see text] by integrating two-variable dependence logic [Formula: see text] and two-variable logic with counting quantifiers [Formula: see text].
Main Results:
- A unified semantic framework accommodating variants of dependence logic, generalized quantifiers, and generalized atoms.
- The definition of a new logic [Formula: see text] through canonical fusion.
- Establishment of [Formula: see text]-completeness for the satisfiability and finite satisfiability problems of the fused logic [Formula: see text].
Conclusions:
- The proposed double team semantics provides a flexible framework for diverse dependence logic variants.
- The fused logic [Formula: see text] offers a powerful tool for studying dependencies and quantified structures.
- The computational complexity results provide crucial insights into the decidability of these expressive logics.
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