Automating Agential Reasoning: Proof-Calculi and Syntactic Decidability for STIT Logics
–arXiv.org Artificial Intelligence
This work provides proof-search algorithms and automated counter-model extraction for a class of STIT logics. With this, we answer an open problem concerning syntactic decision procedures and cut-free calculi for STIT logics. A new class of cut-free complete labelled sequent calculi G3LdmL^m_n, for multi-agent STIT with at most n-many choices, is introduced. We refine the calculi G3LdmL^m_n through the use of propagation rules and demonstrate the admissibility of their structural rules, resulting in auxiliary calculi Ldm^m_nL. In the single-agent case, we show that the refined calculi Ldm^m_nL derive theorems within a restricted class of (forestlike) sequents, allowing us to provide proof-search algorithms that decide single-agent STIT logics. We prove that the proof-search algorithms are correct and terminate.
arXiv.org Artificial Intelligence
Aug-29-2019
- Country:
- Europe
- Austria (0.04)
- United Kingdom > England
- Oxfordshire > Oxford (0.04)
- Europe
- Genre:
- Research Report (0.50)
- Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning
- Agents (1.00)
- Logic & Formal Reasoning (1.00)
- Search (0.75)
- Information Technology > Artificial Intelligence > Representation & Reasoning