scholarly journals Tutorial: Parameterized Verification with Byzantine Model Checker

Author(s):  
Igor Konnov ◽  
Marijana Lazić ◽  
Ilina Stoilkovska ◽  
Josef Widder
2021 ◽  
Vol 178 (4) ◽  
pp. 347-378
Author(s):  
Sylvain Conchon ◽  
Giorgio Delzanno ◽  
Angelo Ferrando

We show that Cubicle, an SMT-based infinite-state model checker, can be applied as a verification engine for GLog, a logic-based language based on relational updates rules that has been applied to specify topology-sensitive distributed protocols with asynchronous communication. In this setting, the absence of protocol anomalies can be reduced to a coverability problem in which the initial set of configurations is not fixed a priori (Existential Coverability Problem). Existential Coverability in GLog can naturally be expressed into Parameterized Verification judgements in Cubicle. The encoding is based on a translation of relational update rules into transition rules that modify cells of unbounded arrays. To show the effectiveness of the approach, we discuss several verification problems for distributed protocols and distributed objects, a challenging task for traditional verification tools. The experimental results show the flexibility and robustness of Cubicle for the considered class of protocol examples.


Author(s):  
Natasha Alechina ◽  
Hans van Ditmarsch ◽  
Rustam Galimullin ◽  
Tuo Wang

AbstractCoalition announcement logic (CAL) is one of the family of the logics of quantified announcements. It allows us to reason about what a coalition of agents can achieve by making announcements in the setting where the anti-coalition may have an announcement of their own to preclude the former from reaching its epistemic goals. In this paper, we describe a PSPACE-complete model checking algorithm for CAL that produces winning strategies for coalitions. The algorithm is implemented in a proof-of-concept model checker.


2021 ◽  
Vol 10 (3) ◽  
pp. 42
Author(s):  
Mohammed Al-Nuaimi ◽  
Sapto Wibowo ◽  
Hongyang Qu ◽  
Jonathan Aitken ◽  
Sandor Veres

The evolution of driving technology has recently progressed from active safety features and ADAS systems to fully sensor-guided autonomous driving. Bringing such a vehicle to market requires not only simulation and testing but formal verification to account for all possible traffic scenarios. A new verification approach, which combines the use of two well-known model checkers: model checker for multi-agent systems (MCMAS) and probabilistic model checker (PRISM), is presented for this purpose. The overall structure of our autonomous vehicle (AV) system consists of: (1) A perception system of sensors that feeds data into (2) a rational agent (RA) based on a belief–desire–intention (BDI) architecture, which uses a model of the environment and is connected to the RA for verification of decision-making, and (3) a feedback control systems for following a self-planned path. MCMAS is used to check the consistency and stability of the BDI agent logic during design-time. PRISM is used to provide the RA with the probability of success while it decides to take action during run-time operation. This allows the RA to select movements of the highest probability of success from several generated alternatives. This framework has been tested on a new AV software platform built using the robot operating system (ROS) and virtual reality (VR) Gazebo Simulator. It also includes a parking lot scenario to test the feasibility of this approach in a realistic environment. A practical implementation of the AV system was also carried out on the experimental testbed.


2018 ◽  
Vol 19 (4) ◽  
pp. 1-25 ◽  
Author(s):  
Yongjian Li ◽  
Kaiqiang Duan ◽  
David N. Jansen ◽  
Jun Pang ◽  
Lijun Zhang ◽  
...  

Author(s):  
Hayato Naito ◽  
Tomoyuki Yokogawa ◽  
Nao Igawa ◽  
Sousuke Amasaki ◽  
Hirohisa Aman ◽  
...  

Author(s):  
Yiping Fan ◽  
Jinsong Bei ◽  
Jinian Bian ◽  
Hongxi Xue ◽  
Xianlong Hong ◽  
...  
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