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Computer Science > Systems and Control

Title: Two-Layered Falsification of Hybrid Systems guided by Monte Carlo Tree Search

Abstract: Few real-world hybrid systems are amenable to formal verification, due to their complexity and black box components. Optimization-based falsification---a methodology of search-based testing that employs stochastic optimization---is attracting attention as an alternative quality assurance method. Inspired by the recent works that advocate coverage and exploration in falsification, we introduce a two-layered optimization framework that uses Monte Carlo tree search (MCTS), a popular machine learning technique with solid mathematical and empirical foundations. MCTS is used in the upper layer of our framework; it guides the lower layer of local hill-climbing optimization, thus balancing exploration and exploitation in a disciplined manner.
Subjects: Systems and Control (cs.SY)
Cite as: arXiv:1803.06276 [cs.SY]
  (or arXiv:1803.06276v1 [cs.SY] for this version)

Submission history

From: Gidon Ernst [view email]
[v1] Fri, 16 Mar 2018 15:43:28 GMT (211kb,D)