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Moerland, T.M. (author), Broekens, D.J. (author), Jonker, C.M. (author)
In this paper we study how to learn stochastic, multimodal transition dynamics in reinforcement learning (RL) tasks. We focus on evaluating transition function estimation, while we defer planning over this model to future work. Stochasticity is a fundamental property of many task environments. However, discriminative function approximators have...
conference paper 2017
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Moerland, T.M. (author), Broekens, D.J. (author), Jonker, C.M. (author)
This paper studies directed exploration for reinforcement learning agents by tracking uncertainty about the value of each available action. We identify two sources of uncertainty that are relevant for exploration. The first originates from limited data (parametric uncertainty), while the second originates from the distribution of the returns ...
conference paper 2017
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Bouman, Katja (author), Lefter, I. (author), Rook, L. (author), Oertel, Catharine (author), Jonker, C.M. (author), Brazier, F.M. (author)
This study investigates whether an agent-based Negotiation Training System (NTS) can teach women Strategic Empathy - a recently introduced negotiation strategy based on perspective taking - and whether this can improve their negotiation performance. Developed and tested through an interaction-based real-time experiment was a NTS that integrated...
conference paper 2022
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Centeio Jorge, C. (author), Mehrotra, S. (author), Tielman, M.L. (author), Jonker, C.M. (author)
In human-agent teams, how one teammate trusts another teammate should correspond to the latter's actual trustworthiness, creating what we would call appropriate mutual trust. Although this sounds obvious, the notion of appropriate mutual trust for human-agent teamwork lacks a formal definition. In this article, we propose a formalization which...
conference paper 2021
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Mehrotra, S. (author), Jonker, C.M. (author), Tielman, M.L. (author)
As AI systems are increasingly involved in decision making, it also becomes important that they elicit appropriate levels of trust from their users. To achieve this, it is first important to understand which factors influence trust in AI. We identify that a research gap exists regarding the role of personal values in trust in AI. Therefore, this...
conference paper 2021
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Clifford Holmes, J.K.V. (author), Pollard, S (author), Biggs, H (author), Chihambakwe, Kundai (author), Jonker, Willem (author), York, Theo (author), Andres Diaz, Fabio (author), Slinger, J (author)
In this paper, we report on a concerted modelling effort in the South African water resources sector in which system dynamics provides the paradigmatic framing for both a stakeholder engagement process and for developing an underpinning, integrative simulation model. We describe the design of the parallel modelling approach and examine the...
conference paper 2016
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Murukannaiah, P.K. (author), Ajmeri, Nirav (author), Jonker, C.M. (author), Singh, Munindar P. (author)
Ethics is inherently a multiagent concern. However, research on AI ethics today is dominated by work on individual agents: (1) how an autonomous robot or car may harm or (differentially) benefit people in hypothetical situations (the so-called trolley problems) and (2) how a machine learning algorithm may produce biased decisions or...
conference paper 2020
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Rozendaal, M.C. (author), van Beek, E. (author), Haselager, Pim (author), Abbink, D.A. (author), Jonker, C.M. (author)
In the context of human-agent interaction, we see the emergence of computational artefacts that display hybridity because they can be experienced as tools and agents. In this paper we propose a tool-agent spectrum as an analytical lens that uses ‘intention’ as a central concept. This spectrum aims to clarify how a computational object can change...
conference paper 2020
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Li, X. (author), Jansen, K.M.B. (author), Zhang, X. (author), Rozendaal, M.C. (author), Jonker, C.M. (author)
Stress is an important aspect of mental health which impacts on wellbeing. Wearable devices are increasingly used to help people deal with stress in daily life. However, most of the current applications focus on detecting and representing physiological data. In this paper we report on the design of an integrated wearable system composed of...
conference paper 2020
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Renting, B.M. (author), Hoos, Holger H. (author), Jonker, C.M. (author)
Bidding and acceptance strategies have a substantial impact on the outcome of negotiations in scenarios with linear additive and nonlinear utility functions. Over the years, it has become clear that there is no single best strategy for all negotiation settings, yet many fixed strategies are still being developed. We envision a shift in the...
conference paper 2020
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Murukannaiah, P.K. (author), Ajmeri, Nirav (author), Jonker, C.M. (author), Singh, M.P. (author)
Ethics is inherently a multiagent concern. However, research on AI ethics today is dominated by work on individual agents: (1) how an autonomous robot or car may harm or (differentially) benefit people in hypothetical situations (the so-called trolley problems) and (2) how a machine learning algorithm may produce biased decisions or...
conference paper 2020
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Yazdanpanah, Vahid (author), Gerding, Enrico H. (author), Stein, Sebastian (author), Dastani, Mehdi (author), Jonker, C.M. (author), Norman, Timothy J. (author)
To develop and effectively deploy Trustworthy Autonomous Systems (TAS), we face various social, technological, legal, and ethical challenges in which different notions of responsibility can play a key role. In this work, we elaborate on these challenges, discuss research gaps, and show how the multidimensional notion of responsibility can...
conference paper 2021
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Renting, B.M. (author), Hoos, Holger H. (author), Jonker, C.M. (author)
Bargaining can be used to resolve mixed-motive games in multiagent systems. Although there is an abundance of negotiation strategies implemented in automated negotiating agents, most agents are based on single fixed strategies, while it is acknowledged that there is no single best-performing strategy for all negotiation settings. In this...
conference paper 2022
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Liscio, E. (author), Dondera, Alin E. (author), Geadau, Andrei (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
Moral values influence how we interpret and act upon the information we receive. Identifying human moral values is essential for artificially intelligent agents to co-exist with humans. Recent progress in natural language processing allows the identification of moral values in textual discourse. However, domain-specific moral rhetoric poses...
conference paper 2022
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Cavalcante Siebert, L. (author), Liscio, E. (author), Murukannaiah, P.K. (author), Kaptein, Lionel (author), Spruit, Shannon (author), van den Hoven, M.J. (author), Jonker, C.M. (author)
We propose methods for an AI agent to estimate the value preferences of individuals in a hybrid participatory system, considering a setting where participants make choices and provide textual motivations for those choices. We focus on situations where there is a conflict between participants' choices and motivations, and operationalize the...
conference paper 2022
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Liscio, E. (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
conference paper 2022
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Liscio, E. (author), Araque, Oscar (author), Gatti, Lorenzo (author), Constantinescu, I.L. (author), Jonker, C.M. (author), Kalimeri, Kyriaki (author), Murukannaiah, P.K. (author)
conference paper 2023
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Liscio, E. (author), Lera-Leri, Roger (author), Bistaffa, Filippo (author), Dobbe, R.I.J. (author), Jonker, C.M. (author), Lopez-Sanchez, Maite (author), Rodriguez-Aguilar, Juan A. (author), Murukannaiah, P.K. (author)
conference paper 2023
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Cavalcante Siebert, L. (author), Mercuur, R.A. (author), Dignum, M.V. (author), van den Hoven, M.J. (author), Jonker, C.M. (author)
Autonomous agents (AA) will increasingly be interacting with us in our daily lives. While we want the benefits attached to AAs, it is essential that their behavior is aligned with our values and norms. Hence, an AA will need to estimate the values and norms of the humans it interacts with, which is not a straightforward task when solely...
conference paper 2020
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Simons, L.P.A. (author), Neerincx, M.A. (author), Jonker, C.M. (author)
Increasingly, front runner patients and practitioners want to use state-of-the-art science for rapid lifestyle based cure of diseases of affluence. However, the number of new health studies per year (>500.000) is overwhelming. How to quickly assess state-of-the-art and use new opportunities for rapid patient DIY (Do-It-Yourself) health...
conference paper 2021
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