activity
20172022
most citedFudge: A light-weight solver for abstract argumentation based on SAT reductions

2 citations · 3 across the 4 of their papers we have counts for

collaborators

7 papers

physics.acc-ph2022

Measurement of transverse beam emittance of split beams for the CERN Proton Synchrotron Multi-Turn Extraction

G. Russo, F. Cerutti, L. S. Esposito +4

Crossing a horizontal nonlinear resonance is the approach that can be used to split a beam in several beamlets with the goal to perform multi-turn extraction from a circular partic…

physics.acc-ph2022

Energy deposition studies in the LHCb insertion region from the validation to a step into the Hilumi challenge

Alessia Ciccotelli, Robert B. Appleby, Francesco Cerutti +5

The LHCb (Large Hadron Collider beauty) experiment at CERN aims at achieving a significantly higher luminosity than originally planned by means of two major upgrades: the Upgrade I…

cs.AI20212 cited

Fudge: A light-weight solver for abstract argumentation based on SAT reductions

Matthias Thimm, Federico Cerutti, Mauro Vallati

We present Fudge, an abstract argumentation solver that tightly integrates satisfiability solving technology to solve a series of abstract argumentation problems. While most of the…

cs.AI2018

Automata for Infinite Argumentation Structures

Pietro Baroni, Federico Cerutti, Paul E. Dunne +1

The theory of abstract argumentation frameworks (afs) has, in the main, focused on finite structures, though there are many significant contexts where argumentation can be regarded…

cs.AI2018

Uncertainty Aware AI ML: Why and How

Lance Kaplan, Federico Cerutti, Murat Sensoy +2

This paper argues the need for research to realize uncertainty-aware artificial intelligence and machine learning (AI\&ML) systems for decision support by describing a number of mo…

cs.AI2018

Probabilistic Logic Programming with Beta-Distributed Random Variables

Federico Cerutti, Lance Kaplan, Angelika Kimmig +1

We enable aProbLog---a probabilistic logical programming approach---to reason in presence of uncertain probabilities represented as Beta-distributed random variables. We achieve th…