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Dettaglio pubblicazione

2024, PMAI 2024. Process Management in the AI Era 2024. Proceedings of the 3rd International Workshop on Process Management in the AI Era (PMAI 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), Pages 35-46 (volume: 3779)

LTLf Goal-oriented Service Composition (04b Atto di convegno in volume)

DE GIACOMO Giuseppe, Favorito Marco, Silo Luciana

Service compositions à la Roman model consist of realizing a virtual service by orchestrating suitably a set of already available services, where all services are described procedurally as (possibly nondeterministic) transition systems. In this paper, we study a goal-oriented variant of the service composition \emph{à la} Roman Model, where the goal specifies the allowed traces declaratively via Linear Temporal Logic on finite traces (LTLf). Specifically, we want to synthesize a controller to orchestrate the available services to produce together a trace satisfying a specification in LTLf. To do so, we combine techniques from reactive synthesis, FOND Planning, and the Roman Model for service composition. This framework has several interesting applications, including Smart Manufacturing and Digital Twins.
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