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05/15/2023
MADDM: Multi-Advisor Dynamic Binary Decision-Making by Maximizing the Utility
Being able to infer ground truth from the responses of multiple imperfec...
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02/13/2023
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations
Understanding agent behaviour in Multi-Agent Systems (MAS) is an importa...
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10/14/2022
Multi-trainer Interactive Reinforcement Learning System
Interactive reinforcement learning can effectively facilitate the agent ...
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10/05/2022
From Intelligent Agents to Trustworthy Human-Centred Multiagent Systems
The Agents, Interaction and Complexity research group at the University ...
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02/18/2021
Optimising Long-Term Outcomes using Real-World Fluent Objectives: An Application to Football
In this paper, we present a novel approach for optimising long-term tact...
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12/08/2020
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model
In this paper, we present a new application-focused benchmark dataset an...
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08/31/2020
SHACL Satisfiability and Containment (Extended Paper)
The Shapes Constraint Language (SHACL) is a recent W3C recommendation la...
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03/23/2020
Optimising Game Tactics for Football
In this paper we present a novel approach to optimise tactical and strat...
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11/15/2019
A Policy Editor for Semantic Sensor Networks
An important use of sensors and actuator networks is to comply with heal...
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11/01/2019
SHACL Constraints with Inference Rules
The Shapes Constraint Language (SHACL) has been recently introduced as a...
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07/02/2019
Rule Applicability on RDF Triplestore Schemas
Rule-based systems play a critical role in health and safety, where poli...
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06/13/2017
On Natural Language Generation of Formal Argumentation
In this paper we provide a first analysis of the research questions that...
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11/19/2013