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AAAI 2023

Second-Order Quantified Boolean Logic

Conference Paper AAAI Technical Track on Constraint Satisfaction and Optimization Artificial Intelligence

Abstract

Second-order quantified Boolean formulas (SOQBFs) generalize quantified Boolean formulas (QBFs) by admitting second-order quantifiers on function variables in addition to first-order quantifiers on atomic variables. Recent endeavors establish that the complexity of SOQBF satisfiability corresponds to the exponential-time hierarchy (EXPH), similar to that of QBF satisfiability corresponding to the polynomial-time hierarchy (PH). This fact reveals the succinct expression power of SOQBFs in encoding decision problems not efficiently doable by QBFs. In this paper, we investigate the second-order quantified Boolean logic with the following main results: First, we present a procedure of quantifier elimination converting SOQBFs to QBFs and a game interpretation of SOQBF semantics. Second, we devise a sound and complete refutation-proof system for SOQBF. Third, we develop an algorithm for countermodel extraction from a refutation proof. Finally, we show potential applications of SOQBFs in system design and multi-agent planning. With these advances, we anticipate practical tools for development.

Authors

Keywords

  • CSO: Constraint Satisfaction
  • CSO: Other Foundations of Constraint Satisfaction & Optimization
  • CSO: Satisfiability
  • KRR: Automated Reasoning and Theorem Proving
  • KRR: Computational Complexity of Reasoning
  • KRR: Other Foundations of Knowledge Representation & Reasoning

Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
1008519096225555634