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Titlebook: Automated Technology for Verification and Analysis; 17th International S Yu-Fang Chen,Chih-Hong Cheng,Javier Esparza Conference proceedings

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51#
發(fā)表于 2025-3-30 09:28:51 | 只看該作者
A Note on Game Theory and Verificationing graph), which extends standard finite-state models used in verification in a multiplayer and concurrent setting; we explain why the basic theory cannot apply to that general model. We then focus on a very simple setting, and explain and give intuitions for the computation of Nash equilibria. We
52#
發(fā)表于 2025-3-30 12:30:04 | 只看該作者
Truth Assignments as Conditional Autarkies assigns at least one variable. In this paper, we present how conditional autarkies, a generalization of autarkies, give rise to novel preprocessing techniques for SAT solving. We show that conditional autarkies correspond to a new type of redundant clauses, termed globally-blocked clauses, and that
53#
發(fā)表于 2025-3-30 16:57:25 | 只看該作者
54#
發(fā)表于 2025-3-31 00:00:01 | 只看該作者
Teaching Stratego to Play Ball: Optimal Synthesis for Continuous Space MDPs. The problem of controller synthesis for such systems then can be cast as finding optimal strategies for Markov decision processes over a Euclidean state space. We develop two different reinforcement learning strategies that tackle the problem of continuous state spaces via online partition refinem
55#
發(fā)表于 2025-3-31 02:12:35 | 只看該作者
Using Symmetry Transformations in Equivariant Dynamical Systems for Their Safety Verification Symmetry transformations of equivariant systems map solutions to other solutions. We build upon this result, producing reachsets from other previously computed reachsets. We augment the standard simulation-based verification algorithm with a new procedure that attempts to verify the safety of the s
56#
發(fā)表于 2025-3-31 05:28:31 | 只看該作者
57#
發(fā)表于 2025-3-31 12:57:54 | 只看該作者
Adaptive Online First-Order Monitoring scaling up monitoring using parallelization by partitioning events based on their data values and processing the partitions concurrently. To be effective, partitioning must account for the event stream’s statistics, e.g., the relative event frequencies, and these statistics may change rapidly. We d
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