no code implementations • 29 Apr 2016 • Paolo Felli, Nitin Yadav, Sebastian Sardina
We relate behavior composition, a synthesis task studied in AI, to supervisory control theory from the discrete event systems field.
no code implementations • 21 Feb 2016 • Liz Sonenberg, Tim Miller, Adrian Pearce, Paolo Felli, Christian Muise, Frank Dignum
Making a computational agent 'social' has implications for how it perceives itself and the environment in which it is situated, including the ability to recognise the behaviours of others.
no code implementations • 4 Feb 2014 • Babak Bagheri Hariri, Diego Calvanese, Marco Montali, Giuseppe De Giacomo, Riccardo De Masellis, Paolo Felli
Description logic Knowledge and Action Bases (KAB) are a mechanism for providing both a semantically rich representation of the information on the domain of interest in terms of a description logic knowledge base and actions to change such information over time, possibly introducing new objects.
no code implementations • 12 Jul 2018 • Giuseppe De Giacomo, Brian Logan, Paolo Felli, Fabio Patrizi, Sebastian Sardina
Manufacturing is transitioning from a mass production model to a manufacturing as a service model in which manufacturing facilities 'bid' to produce products.
no code implementations • 11 Aug 2020 • Paolo Felli, Alessandro Gianola, Marco Montali
In this paper we study the verification of parameterised multi-agent systems (MASs), and in particular the task of verifying whether unwanted states, characterised as a given state formula, are reachable in a given MAS, i. e., whether the MAS is unsafe.
no code implementations • 18 Mar 2021 • Paolo Felli, Alessandro Gianola, Marco Montali, Andrey Rivkin, Sarah Winkler
Conformance checking is a key process mining task for comparing the expected behavior captured in a process model and the actual behavior recorded in a log.
no code implementations • 6 Oct 2021 • Christian Muise, Vaishak Belle, Paolo Felli, Sheila Mcilraith, Tim Miller, Adrian R. Pearce, Liz Sonenberg
Many AI applications involve the interaction of multiple autonomous agents, requiring those agents to reason about their own beliefs, as well as those of other agents.
no code implementations • 15 Mar 2022 • Paolo Felli, Marco Montali, Sarah Winkler
Combined modeling and verification of dynamic systems and the data they operate on has gained momentum in AI and in several application domains.
no code implementations • 28 Mar 2022 • Paolo Felli, Marco Montali, Sarah Winkler
The implementation is validated on a collection of examples from the literature, and on synthetic variants constructed from such examples.
no code implementations • 15 Jun 2022 • Paolo Felli, Alessandro Gianola, Marco Montali, Andrey Rivkin, Sarah Winkler
Logs of real-life processes often feature uncertainty pertaining the recorded timestamps, data values, and/or events.
no code implementations • 28 Jul 2023 • Alessandro Burigana, Paolo Felli, Marco Montali, Nicolas Troquard
Finally, we show that two well-known epistemic planning systems based on action templates, when interpreted under the setting of knowledge, conform to the commutativity axiom, hence proving their decidability.
no code implementations • 28 Jul 2023 • Alessandro Burigana, Paolo Felli, Marco Montali
To substantiate this claim, we implement both approaches in ASP and we set up an experimental evaluation to compare DELPHIC with the traditional, Kripke-based approach.