18 citations · 71 across the 16 of their papers we have counts for
9 papers · 1 filter
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)…
AAAI FSS-20: Artificial Intelligence in Government and Public Sector Proceedings
Frank Stein, Alun Preece
Proceedings of the AAAI Fall Symposium on Artificial Intelligence in Government and Public Sector, Washington, DC, USA, November 13-14, 2020
Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams
Dave Braines, Federico Cerutti, Marc Roig Vilamala +3
Future coalition operations can be substantially augmented through agile teaming between human and machine agents, but in a coalition context these agents may be unfamiliar to the…
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…
Towards a Modelling Framework for Self-Sovereign Identity Systems
Iain Barclay, Maria Freytsis, Sherri Bucher +3
Self-sovereign Identity promises to give users control of their own data, and has the potential to foster advancements in terms of personal data privacy. Self-sovereign concepts ca…
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…