ETAPS 2019
Sat 6 - Thu 11 April 2019 Prague, Czech Republic
Sun 7 Apr 2019 17:00 - 17:30 at S9 - Synthesis and Inference Chair(s): Michela Chiappalone

Stochastic population models are widely used to model phenomena in different areas such as chemical kinetics or collective animal behaviour. Quantitative analysis of stochastic population protocols easily becomes challenging, due to the combinatorial propagation of dependencies across the population. The complexity becomes especially prominent when model’s parameters are not known and available measurements are limited. In this paper, we illustrate this challenge on a concrete scenario: we assume a simple communication scheme among identical individuals, inspired by how social honeybees emit the alarm pheromone to protect the colony in case of danger. Together, n individuals induce a population Markov chain model with n parameters. In addition, we assume to be able to experimentally observe the states only after the steady-state is reached. In order to obtain the parameters of the individual’s behaviour, by utilising the available data, and without making any further modelling assumption, we combine two existing techniques. First, we use the tools for parameter synthesis for Markov chains with respect to temporal logic properties, and then we employ CEGAR-like reasoning to find the viable parameter space up to desired coverage. We report the performance on a number of synthetic data sets.

Sun 7 Apr

16:00 - 18:00: HSB - Synthesis and Inference at S9
Chair(s): Michela ChiappaloneItalian Institute of Technology
hsb-2019-papers16:00 - 16:30
Ádám HalászWest Virginia University, Ouri MalerWest Virginia University, Jeremy S EdwardsUniversity of New Mexico
hsb-2019-papers16:30 - 17:00
Adrian RiescoUniversidad Complutense de Madrid, Beatriz Santos-BuitragoSeoul National University, Merrill KnappSRI International, Gustavo Santos-GarciaUniversidad de Salamanca, Carolyn TalcottSRI International
hsb-2019-papers17:00 - 17:30
Matej HajnalMasaryk University, Tatjana PetrovUniversität Konstanz, David SafranekMasaryk University, Morgane NouvianUniversity of Konstanz
hsb-2019-papers17:30 - 17:40
Day closing