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07/12/2023
Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems
With the growing capabilities and pervasiveness of AI systems, societies...
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02/20/2023
Registered Report : Perception of Other's Musical Preferences Based on Their Personal Values
The present work is part of a research line seeking to uncover the myste...
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01/16/2023
AI Alignment Dialogues: An Interactive Approach to AI Alignment in Support Agents
AI alignment is about ensuring AI systems only pursue goals and activiti...
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12/20/2022
Automated Configuration and Usage of Strategy Portfolios for Bargaining
Bargaining can be used to resolve mixed-motive games in multi-agent syst...
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10/05/2022
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology
The rapid development of Artificial Intelligence (AI) requires developer...
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05/13/2022
MOPaC: The Multiple Offers Protocol for Multilateral Negotiations with Partial Consensus
Existing protocols for multilateral negotiation require a full consensus...
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01/24/2022
Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction
How human-like do conversational robots need to look to enable long-term...
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11/25/2021
Meaningful human control over AI systems: beyond talking the talk
The concept of meaningful human control has been proposed to address res...
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10/19/2021
Towards Social Situation Awareness in Support Agents
Artificial agents that support people in their daily activities (e.g., v...
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10/15/2021
Using Psychological Characteristics of Situations for Social Situation Comprehension in Support Agents
Support agents that help users in their daily lives need to take into ac...
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09/29/2021
From Organisational Structure to Organisational Behaviour Formalisation
To understand how an organisational structure relates to organisational ...
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07/27/2021
Inclusion, equality and bias in designing online mass deliberative platforms
Designers of online deliberative platforms aim to counter the degrading ...
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07/03/2021
A Data-Driven Method for Recognizing Automated Negotiation Strategies
Understanding an opponent agent helps in negotiating with it. Existing w...
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06/10/2021
Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning
Today's advanced Reinforcement Learning algorithms produce black-box pol...
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05/19/2021
More Similar Values, More Trust? – the Effect of Value Similarity on Trust in Human-Agent Interaction
As AI systems are increasingly involved in decision making, it also beco...
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12/22/2020
Modelling Human Routines: Conceptualising Social Practice Theory for Agent-Based Simulation
Our routines play an important role in a wide range of social challenges...
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06/30/2020
Model-based Reinforcement Learning: A Survey
Sequential decision making, commonly formalized as Markov Decision Proce...
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06/26/2020
A Framework for Reinforcement Learning and Planning
Sequential decision making, commonly formalized as Markov Decision Proce...
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05/19/2020
The Second Type of Uncertainty in Monte Carlo Tree Search
Monte Carlo Tree Search (MCTS) efficiently balances exploration and expl...
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05/15/2020
Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning
Planning and reinforcement learning are two key approaches to sequential...
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03/31/2020
Automated Configuration of Negotiation Strategies
Bidding and acceptance strategies have a substantial impact on the outco...
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12/03/2018
Towards Agent-based Models of Rumours in Organizations: A Social Practice Theory Approach
Rumour is a collective emergent phenomenon with a potential for provokin...
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11/27/2018
Modelling Agents Endowed with Social Practices: Static Aspects
To understand societal phenomena through simulation, we need computation...
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06/11/2018
The Potential of the Return Distribution for Exploration in RL
This paper studies the potential of the return distribution for explorat...
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05/24/2018
A0C: Alpha Zero in Continuous Action Space
A core novelty of Alpha Zero is the interleaving of tree search and deep...
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05/23/2018
Monte Carlo Tree Search for Asymmetric Trees
We present an extension of Monte Carlo Tree Search (MCTS) that strongly ...
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05/23/2018
Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures
Several smart city services rely on users contribution, e.g., data, whic...
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02/21/2018
Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making
In multi-objective decision planning and learning, much attention is pai...
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11/29/2017
Efficient exploration with Double Uncertain Value Networks
This paper studies directed exploration for reinforcement learning agent...
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05/15/2017
Emotion in Reinforcement Learning Agents and Robots: A Survey
This article provides the first survey of computational models of emotio...
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05/01/2017
Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
In this paper we study how to learn stochastic, multimodal transition dy...
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07/03/2016