activity
20142026
most citedDescription Logic Knowledge and Action Bases

70 citations · 85 across the 16 of their papers we have counts for

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Showing cs.AIShow all

11 papers · 1 filter

cs.AI2026

Time to Reason: Scalable Neurosymbolic Learning for LTLf via Fuzzy Semantics

Riccardo Andreoni, Andrei Buliga, Alessandro Daniele +4

Neurosymbolic (NeSy) Artificial Intelligence aims to integrate Deep Learning (DL) architectures with symbolic reasoning. While initial NeSy approaches have targeted mainly symbolic…

cs.AI2024

Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications

Ivan Donadello, Paolo Felli, Craig Innes +2

Traditional conformance checking tasks assume that event data provide a faithful and complete representation of the actual process executions. This assumption has been recently que…

cs.AI2023★ 1 cited

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

Alessandro Burigana, Paolo Felli, Marco Montali +1

The use of Dynamic Epistemic Logic (DEL) in multi-agent planning has led to a widely adopted action formalism that can handle nondeterminism, partial observability and arbitrary kn…

cs.AI2023

DELPHIC: Practical DEL Planning via Possibilities (Extended Version)

Alessandro Burigana, Paolo Felli, Marco Montali

Dynamic Epistemic Logic (DEL) provides a framework for epistemic planning that is capable of representing non-deterministic actions, partial observability, higher-order knowledge a…

cs.AI2022

Conformance Checking with Uncertainty via SMT (Extended Version)

Paolo Felli, Alessandro Gianola, Marco Montali +2

Logs of real-life processes often feature uncertainty pertaining the recorded timestamps, data values, and/or events. We consider the problem of checking conformance of uncertain l…

cs.AI2021

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

Christian Muise, Vaishak Belle, Paolo Felli +4

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. However, pla…

cs.AI2021★ 2 cited

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

Paolo Felli, Alessandro Gianola, Marco Montali +2

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. While this problem has…

cs.AI2020★ 1 cited

SMT-based Safety Verification of Parameterised Multi-Agent Systems

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…

cs.AI2018★ 1 cited

Situation Calculus for Synthesis of Manufacturing Controllers

Giuseppe De Giacomo, Brian Logan, Paolo Felli +2

Manufacturing is transitioning from a mass production model to a manufacturing as a service model in which manufacturing facilities 'bid' to produce products. To decide whether to…

cs.AI2016

Supervisory Control for Behavior Composition

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. In particular, we show that realizing (i.e., im…

cs.AI2014★ 70 cited

Description Logic Knowledge and Action Bases

Babak Bagheri Hariri, Diego Calvanese, Marco Montali +3

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…