Federico Cerutti | DeepAI

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∙ 08/23/2022

Research Note on Uncertain Probabilities and Abstract Argumentation

The sixth assessment of the international panel on climate change (IPCC)...

0 Pietro Baroni, et al. ∙

∙ 08/16/2022

SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks

In second-order uncertain Bayesian networks, the conditional probabiliti...

0 Conrad D. Hougen, et al. ∙

∙ 08/08/2022

Uncertain Bayesian Networks: Learning from Incomplete Data

When the historical data are limited, the conditional probabilities asso...

0 Conrad D. Hougen, et al. ∙

∙ 10/15/2021

Using DeepProbLog to perform Complex Event Processing on an Audio Stream

In this paper, we present an approach to Complex Event Processing (CEP) ...

0 Marc Roig Vilamala, et al. ∙

∙ 09/07/2021

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

We present Fudge, an abstract argumentation solver that tightly integrat...

0 Matthias Thimm, et al. ∙

∙ 02/22/2021

Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits

When collaborating with an AI system, we need to assess when to trust it...

0 Federico Cerutti, et al. ∙

∙ 10/27/2020

An Experimentation Platform for Explainable Coalition Situational Understanding

We present an experimentation platform for coalition situational underst...

0 Katie Barrett-Powell, et al. ∙

∙ 10/23/2020

Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams

Future coalition operations can be substantially augmented through agile...

0 Dave Braines, et al. ∙

∙ 09/07/2020

A Hybrid Neuro-Symbolic Approach for Complex Event Processing

Training a model to detect patterns of interrelated events that form sit...

0 Marc Roig Vilamala, et al. ∙

∙ 06/07/2020

Uncertainty-Aware Deep Classifiers using Generative Models

Deep neural networks are often ignorant about what they do not know and ...

0 Murat Sensoy, et al. ∙

∙ 03/30/2020

The current state of automated argumentation theory: a literature review

Automated negotiation can be an efficient method for resolving conflict ...

0 Sam Vente, et al. ∙

∙ 03/30/2020

Increasing negotiation performance at the edge of the network

Automated negotiation has been used in a variety of distributed settings...

0 Sam Vente, et al. ∙

∙ 10/16/2019

Explainable AI for Intelligence Augmentation in Multi-Domain Operations

Central to the concept of multi-domain operations (MDO) is the utilizati...

0 Alun Preece, et al. ∙

∙ 10/11/2018

Automata for Infinite Argumentation Structures

The theory of abstract argumentation frameworks (afs) has, in the main, ...

0 Pietro Baroni, et al. ∙

∙ 10/11/2018

AFRA: Argumentation framework with recursive attacks

The issue of representing attacks to attacks in argumentation is receivi...

0 Pietro Baroni, et al. ∙

∙ 09/20/2018

Probabilistic Logic Programming with Beta-Distributed Random Variables

We enable aProbLog---a probabilistic logical programming approach---to r...

0 Federico Cerutti, et al. ∙

∙ 09/20/2018

Uncertainty Aware AI ML: Why and How

This paper argues the need for research to realize uncertainty-aware art...

0 Lance Kaplan, et al. ∙

∙ 06/13/2017

On Natural Language Generation of Formal Argumentation

In this paper we provide a first analysis of the research questions that...

0 Federico Cerutti, et al. ∙

∙ 12/22/2016

Solving Set Optimization Problems by Cardinality Optimization via Weak Constraints with an Application to Argumentation

Optimization - minimization or maximization - in the lattice of subsets ...

0 Wolfgang Faber, et al. ∙

∙ 11/11/2014

Exploiting Parallelism for Hard Problems in Abstract Argumentation: Technical Report

Abstract argumentation framework () is a unifying framework able to enco...

0 Federico Cerutti, et al. ∙

∙ 11/19/2013

Reasoning about the Impacts of Information Sharing

In this paper we describe a decision process framework allowing an agent...

0 Chatschik Bisdikian, et al. ∙

∙ 11/19/2013

Subjective Logic Operators in Trust Assessment: an Empirical Study

Computational trust mechanisms aim to produce trust ratings from both di...

0 Federico Cerutti, et al. ∙

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