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Controlling a population

Nathalie Bertrand ; Miheer Dewaskar ; Blaise Genest ; Hugo Gimbert ; Adwait Amit Godbole.

We introduce a new setting where a population of agents, each modelled by a finite-state system, are controlled uniformly: the controller applies the same action to every agent. The framework is largely inspired by the control of a biological system, namely a population of yeasts, where the&nbsp;[&hellip;]

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Stochastic Timed Automata

Nathalie Bertrand ; Patricia Bouyer ; Thomas Brihaye ; Quentin Menet ; Christel Baier ; Marcus Groesser ; Marcin Jurdzinski.

A stochastic timed automaton is a purely stochastic process defined on a timed automaton, in which both delays and discrete choices are made randomly. We study the almost-sure model-checking problem for this model, that is, given a stochastic timed automaton A and a property $\Phi$, we want to&nbsp;[&hellip;]

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