145 citations · 175 across the 18 of their papers we have counts for
10 papers · 1 filter
Robust Reward Machine Learning and Execution in Noisy Environments
Roko Parac, Lorenzo Nodari, Daniel Furelos-Blanco +3
Background: Reward machines (RMs) represent non-Markovian reward functions as finite-state machines over high-level propositional events. Traditionally, these events are generated…
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks
Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska +3
In second-order uncertain Bayesian networks, the conditional probabilities are only known within distributions, i.e., probabilities over probabilities. The delta-method has been ap…
Handling Epistemic and Aleatory Uncertainties in Probabilistic Circuits
Federico Cerutti, Lance M. Kaplan, Angelika Kimmig +1
When collaborating with an AI system, we need to assess when to trust its recommendations. If we mistakenly trust it in regions where it is likely to err, catastrophic failures may…
An Experimentation Platform for Explainable Coalition Situational Understanding
Katie Barrett-Powell, Jack Furby, Liam Hiley +8
We present an experimentation platform for coalition situational understanding research that highlights capabilities in explainable artificial intelligence/machine learning (AI/ML)…
A Hybrid Neuro-Symbolic Approach for Complex Event Processing
Marc Roig Vilamala, Harrison Taylor, Tianwei Xing +6
Training a model to detect patterns of interrelated events that form situations of interest can be a complex problem: such situations tend to be uncommon, and only sparse data is a…
The current state of automated negotiation theory: a literature review
Sam Vente, Angelika Kimmig, Alun Preece +1
Automated negotiation can be an efficient method for resolving conflict and redistributing resources in a coalition setting. Automated negotiation has already seen increased usage…
Increasing negotiation performance at the edge of the network
Sam Vente, Angelika Kimmig, Alun Preece +1
Automated negotiation has been used in a variety of distributed settings, such as privacy in the Internet of Things (IoT) devices and power distribution in Smart Grids. The most co…
Explainable AI for Intelligence Augmentation in Multi-Domain Operations
Alun Preece, Dave Braines, Federico Cerutti +1
Central to the concept of multi-domain operations (MDO) is the utilization of an intelligence, surveillance, and reconnaissance (ISR) network consisting of overlapping systems of r…
AFRA: Argumentation framework with recursive attacks
Pietro Baroni, Federico Cerutti, Massimiliano Giacomin +1
The issue of representing attacks to attacks in argumentation is receiving an increasing attention as a useful conceptual modelling tool in several contexts. In this paper we prese…
Reasoning about the Impacts of Information Sharing
Chatschik Bisdikian, Federico Cerutti, Yuqing Tang +1
In this paper we describe a decision process framework allowing an agent to decide what information it should reveal to its neighbours within a communication graph in order to maxi…