Controlling dynamic crowdsourcing processes using multi-layered algebraic Petri nets Online publication date: Mon, 09-Dec-2024
by Fateh Latreche; Hichem Talbi
International Journal of Critical Computer-Based Systems (IJCCBS), Vol. 11, No. 3, 2024
Abstract: Crowdsourcing is an emergent model for decentralised and collaborative problem solving. Inventive tasks crowdsourcing processes are in most cases dynamic, they are subject to failure and exceptions arising at runtime. Most of the existing design and implementation notations for crowdsourcing processes do not adequately reflect important features of dynamic crowdsourcing processes. We propose a multi-layered high-level Petri net model (timed-meta ECATNets) to design and control dynamic crowdsourcing processes. In particular, the proposed model makes it possible to adapt crowdsourcing processes in case of task failure. Owing to its use of algebraic Petri nets, the model allows to express compactly: control flow, data flow and time constraints. The proposed model is implemented using Real-Time Maude. The reachability commands and the timed CTL model checker associated to Real-Time Maude could then be used to analyse the correctness of the dynamic and timed behaviours of crowdsourcing processes.
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