Search Results for author: Paolo Felli

Found 12 papers, 0 papers with code

Supervisory Control for Behavior Composition

no code implementations29 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.

Social planning for social HRI

no code implementations21 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.

Description Logic Knowledge and Action Bases

no code implementations4 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.

Situation Calculus for Synthesis of Manufacturing Controllers

no code implementations12 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.

SMT-based Safety Verification of Parameterised Multi-Agent Systems

no code implementations11 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.

CoCoMoT: Conformance Checking of Multi-Perspective Processes via SMT (Extended Version)

no code implementations18 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.

Clustering

Efficient Multi-agent Epistemic Planning: Teaching Planners About Nested Belief

no code implementations6 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.

Linear-Time Verification of Data-Aware Dynamic Systems with Arithmetic

no code implementations15 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.

Soundness of Data-Aware Processes with Arithmetic Conditions

no code implementations28 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.

Management

Conformance Checking with Uncertainty via SMT (Extended Version)

no code implementations15 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.

A Semantic Approach to Decidability in Epistemic Planning (Extended Version)

no code implementations28 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.

DELPHIC: Practical DEL Planning via Possibilities (Extended Version)

no code implementations28 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.

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