Istituto di Scienza e Tecnologie dell'Informazione     
Latella D., Massink M. Design and optimisation of the flyfast front-end for attribute-based coordination. Preliminary version (revision 0.0). QUANTICOL Technical Report TR-QC-01-2017. Technical report, 2017.
Collective Adaptive Systems (CAS) consist of a large number of interacting objects. The design of such systems requires scalable analysis tools and methods, which have necessarily to rely on some form of approximation of the system's actual behaviour. Promising techniques are those based on mean-field approximation. The FlyFast model-checker uses an on-the- y algorithm for bounded PCTL model-checking of selected individual(s) in the context of very large populations whose global behaviour is approximated using deterministic limit mean-field techniques. Recently, a front-end for FlyFast has been proposed which provides a modelling language, PiFF in the sequel, for the Predicate-based Interaction for FlyFast. In this paper we present details of PiFF design and an approach to state-space reduction based on probabilistic bisimulation for inhomogeneous DTMCs.
URL: http://milner.inf.ed.ac.uk/wiki/files/v3v3Z5K7c9/Ab2FFpdf.html
Subject Collective Adaptive Systems
Probabilistic model-checking
On-the-fly model-checking
Mean-field approximation
Discrete time Markov chains
B.8.2 PERFORMANCE AND RELIABILITY. Performance Analysis and Design Aids
D.2.4 SOFTWARE ENGINEERING. Software/Program Verification
F.3.1 LOGICS AND MEANINGS OF PROGRAMS. Specifying and Verifying and Reasoning about Programs
39-XX Difference and functional equations
60Jxx Markov processes

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