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Temporal logics have been studied as an approach to the specification of hyperproperties, resulting in the conception of "hyperlogics". With a few recent exceptions, the hyperlogics thus far developed can only relate different traces of a transition system synchronously. However, important information is contained in the relation between different points in their asynchronous interaction. To specify such "asynchronous hyperproperties", new trace quantifier based hyperlogics have been developed. Yet, hyperlogics with trace quantification cannot express certain requirements that describe the relationships between all executions of a system. Also, these logics induce model checking problems (MC) with prohibitively high complexity costs in the number of quantifier alternations. We study an alternative approach to asynchronous hyperproperties by introducing a novel foundation of temporal team semantics. Team semantics is a logical framework that specifies properties of sets of traces of unbounded size directly, and thus does not have the same limitation as the quantifier based logics mentioned above. We consider temporal team logics which employ quantification over so-called "time evaluation functions" (TEFs) controlling the asynchronous progress of traces instead of quantification over traces. TEFs constitute a novel approach to defining expressive logics for hyperproperties where diverse asynchronous interactions between computations can be formalised and enforced. We show embeddings of synchronous TeamLTL into our new logics. We show that MC for some TeamCTL fragment is highly undecidable. We present a translation from TeamCTL* to Alternating Asynchronous Büchi Automata, and obtain decidability results for the path checking problem and restrictions of MC and SAT. Our translation constitutes the first approach to team semantics based on automata-theoretic methods.
extended version
FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Computational Complexity, Computational Complexity (cs.CC), Logic in Computer Science (cs.LO)
FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Computational Complexity, Computational Complexity (cs.CC), Logic in Computer Science (cs.LO)
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influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
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