Catholijn M. Jonker

research

∙ 07/12/2023

Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems

With the growing capabilities and pervasiveness of AI systems, societies...

0 Catholijn M. Jonker, et al. ∙

research

∙ 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...

0 Sandy Manolios, et al. ∙

research

∙ 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...

0 Pei-Yu Chen, et al. ∙

research

∙ 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...

0 Bram M. Renting, et al. ∙

research

∙ 10/05/2022

Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology

The rapid development of Artificial Intelligence (AI) requires developer...

0 Ruben S. Verhagen, et al. ∙

research

∙ 05/13/2022

MOPaC: The Multiple Offers Protocol for Multilateral Negotiations with Partial Consensus

Existing protocols for multilateral negotiation require a full consensus...

0 Pradeep K. Murukannaiah, et al. ∙

research

∙ 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...

0 Maria Tsfasman, et al. ∙

research

∙ 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...

0 Luciano Cavalcante Siebert, et al. ∙

research

∙ 10/19/2021

Towards Social Situation Awareness in Support Agents

Artificial agents that support people in their daily activities (e.g., v...

0 Ilir Kola, et al. ∙

research

∙ 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...

0 Ilir Kola, et al. ∙

research

∙ 09/29/2021

From Organisational Structure to Organisational Behaviour Formalisation

To understand how an organisational structure relates to organisational ...

0 Catholijn M. Jonker, et al. ∙

research

∙ 07/27/2021

Inclusion, equality and bias in designing online mass deliberative platforms

Designers of online deliberative platforms aim to counter the degrading ...

0 Ruth Shortall, et al. ∙

research

∙ 07/03/2021

A Data-Driven Method for Recognizing Automated Negotiation Strategies

Understanding an opponent agent helps in negotiating with it. Existing w...

0 Ming Li, et al. ∙

research

∙ 06/10/2021

Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning

Today's advanced Reinforcement Learning algorithms produce black-box pol...

0 Youri Coppens, et al. ∙

research

∙ 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...

0 Siddharth Mehrotra, et al. ∙

research

∙ 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...

15 Rijk Mercuur, et al. ∙

research

∙ 06/30/2020

Model-based Reinforcement Learning: A Survey

Sequential decision making, commonly formalized as Markov Decision Proce...

0 Thomas M. Moerland, et al. ∙

research

∙ 06/26/2020

A Framework for Reinforcement Learning and Planning

Sequential decision making, commonly formalized as Markov Decision Proce...

0 Thomas M. Moerland, et al. ∙

research

∙ 05/19/2020

The Second Type of Uncertainty in Monte Carlo Tree Search

Monte Carlo Tree Search (MCTS) efficiently balances exploration and expl...

16 Thomas M. Moerland, et al. ∙

research

∙ 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...

0 Thomas M. Moerland, et al. ∙

research

∙ 03/31/2020

Automated Configuration of Negotiation Strategies

Bidding and acceptance strategies have a substantial impact on the outco...

0 Bram M. Renting, et al. ∙

research

∙ 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...

0 Amir Ebrahimi Fard, et al. ∙

research

∙ 11/27/2018

Modelling Agents Endowed with Social Practices: Static Aspects

To understand societal phenomena through simulation, we need computation...

0 Rijk Mercuur, et al. ∙

research

∙ 06/11/2018

The Potential of the Return Distribution for Exploration in RL

This paper studies the potential of the return distribution for explorat...

0 Thomas M. Moerland, et al. ∙

research

∙ 05/24/2018

A0C: Alpha Zero in Continuous Action Space

A core novelty of Alpha Zero is the interleaving of tree search and deep...

0 Thomas M. Moerland, et al. ∙

research

∙ 05/23/2018

Monte Carlo Tree Search for Asymmetric Trees

We present an extension of Monte Carlo Tree Search (MCTS) that strongly ...

2 Thomas M. Moerland, et al. ∙

research

∙ 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...

0 Stefano Bennati, et al. ∙

research

∙ 02/21/2018

Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making

In multi-objective decision planning and learning, much attention is pai...

0 Luisa M Zintgraf, et al. ∙

research

∙ 11/29/2017

Efficient exploration with Double Uncertain Value Networks

This paper studies directed exploration for reinforcement learning agent...

0 Thomas M. Moerland, et al. ∙

research

∙ 05/15/2017

Emotion in Reinforcement Learning Agents and Robots: A Survey

This article provides the first survey of computational models of emotio...

0 Thomas M. Moerland, et al. ∙

research

∙ 05/01/2017

Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning

In this paper we study how to learn stochastic, multimodal transition dy...

0 Thomas M. Moerland, et al. ∙

research

∙ 07/03/2016

Can we reach Pareto optimal outcomes using bottom-up approaches?

Traditionally, researchers in decision making have focused on attempting...

0 Victor Sanchez-Anguix, et al. ∙

Catholijn M. Jonker

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