Taming Strategy Logic: Non-Recurrent Fragments

IF 0.8 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Information and Computation Pub Date : 2023-10-01 DOI:10.1016/j.ic.2023.105081
Massimo Benerecetti, Fabio Mogavero, Adriano Peron
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引用次数: 0

Abstract

Strategy Logic (

for short) is one of the prominent languages for reasoning about the strategic abilities of agents in a multi-agent setting. This logic extends
with first-order quantifiers over the agent strategies and encompasses other formalisms, such as
and
. The model-checking problem for
and several of its fragments has been extensively studied. On the other hand, the picture is much less clear on the satisfiability front, where the problem is undecidable for the full logic. In this work, we study two fragments of One-Goal
, where the nesting of sentences within temporal operators is constrained. We show that the satisfiability problem for these two logics, and for the corresponding fragments of
and
, is in
and
, respectively.

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驯服策略逻辑:非重复片段
战略逻辑(简称Strategy Logic)是在多智能体环境中推理智能体战略能力的重要语言之一。这种逻辑在代理策略上扩展了一阶量词,并包含了其他形式主义,如和。对及其若干片段的模型检查问题进行了广泛的研究。另一方面,在可满足性方面,情况就不那么清楚了,因为问题对于整个逻辑来说是不可判定的。在这项工作中,我们研究了One Goal的两个片段,其中句子在时间运算符中的嵌套受到约束。我们证明了这两个逻辑以及和的相应片段的可满足性问题分别在和中。
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来源期刊
Information and Computation
Information and Computation 工程技术-计算机:理论方法
CiteScore
2.30
自引率
0.00%
发文量
119
审稿时长
140 days
期刊介绍: Information and Computation welcomes original papers in all areas of theoretical computer science and computational applications of information theory. Survey articles of exceptional quality will also be considered. Particularly welcome are papers contributing new results in active theoretical areas such as -Biological computation and computational biology- Computational complexity- Computer theorem-proving- Concurrency and distributed process theory- Cryptographic theory- Data base theory- Decision problems in logic- Design and analysis of algorithms- Discrete optimization and mathematical programming- Inductive inference and learning theory- Logic & constraint programming- Program verification & model checking- Probabilistic & Quantum computation- Semantics of programming languages- Symbolic computation, lambda calculus, and rewriting systems- Types and typechecking
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