2015
DOI: 10.1016/j.simpat.2014.11.003
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Model checking temporal knowledge and commitments in multi-agent systems using reduction

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Cited by 32 publications
(35 citation statements)
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“…74,94 The existing model checking methods specify a state space exploration of the system behavior using reachable graph of binary decision diagrams. 18,95 96 presented a model checking method on the agent-based service composition approach. In this method, a BPEL model is created to transform into an automata model.…”
Section: Model Checking Methods In the Service Composition Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…74,94 The existing model checking methods specify a state space exploration of the system behavior using reachable graph of binary decision diagrams. 18,95 96 presented a model checking method on the agent-based service composition approach. In this method, a BPEL model is created to transform into an automata model.…”
Section: Model Checking Methods In the Service Composition Approachmentioning
confidence: 99%
“…Some well‐known model checkers are applied to verification approach such as NuSMV, SPIN, PAT, and UPPAAL . The existing model checking methods specify a state space exploration of the system behavior using reachable graph of binary decision diagrams …”
Section: Categorizing Of Selected Service Composition Approachesmentioning
confidence: 99%
“…First, the symbolic model checking is basically a model checking that is implemented as a symbolic representation. Symbolic model checking contains two main approaches; binary decision diagrams (BDD)-based model checking [11] and SAT-based model checking [12]. Symbolic model checking is considered as one of the efficient formal verification approaches that can be implemented in software and hardware systems.…”
Section: A Verification Approaches For Security Algorithmsmentioning
confidence: 99%
“…The NuSMV model checker is a formal foundation that is appropriate for modeling concurrent and distributed systems. This model checker is designed to bridge the gap between formal verification approaches and real applications . It also supports CTL and LTL as input languages and NuSMV as an output code .…”
Section: Performance Evaluationmentioning
confidence: 99%