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Centeio Jorge, C. (author), Bouman, Nikki H. (author), Jonker, C.M. (author), Tielman, M.L. (author)
Introduction: Collaboration in teams composed of both humans and automation has an interdependent nature, which demands calibrated trust among all the team members. For building suitable autonomous teammates, we need to study how trust and trustworthiness function in such teams. In particular, automation occasionally fails to do its job, which...
journal article 2023
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van Kootwijk, A. (author), Jonker, B. P. (author), Wolvius, E. B. (author), Cruz Saldivar, M. (author), Leeflang, M.A. (author), Zhou, J. (author), Tümer, N. (author), Mirzaali, Mohammad J. (author), Zadpoor, A.A. (author)
Objective: Mandibular reconstruction using patient-specific cage implants is a promising alternative to the vascularized free flap reconstruction for nonirradiated patients with adequate soft tissues, or for patients whose clinical condition is not conducive to microsurgical reconstruction. This study aimed to assess the biomechanical...
journal article 2023
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Centeio Jorge, C. (author), Jonker, C.M. (author), Tielman, M.L. (author)
Human-AI teams count on both humans and artificial agents to work together collaboratively. In human-human teams, we use trust to make decisions. Similarly, our work explores how an AI can use trust (in human teammates) to make decisions while ensuring the team’s goal and mitigating risks for the humans involved. We present the several steps...
journal article 2023
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Cunillera, A. (author), Jonker, Harm H. (author), Scheepmaker, G.M. (author), Bogers, Wilbert H.T.J. (author), Goverde, R.M.P. (author)
Supervision, data analysis and communication algorithms monitor trains, exploiting most of their available computational power. On-board eco-driving algorithms such as Driver Advisory Systems (DAS) are no exception, as the computational power available limits their complexity and features. This was the case of Roltijd, the in-house developed...
journal article 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)
As artificial agents become increasingly embedded in our society, we must ensure that their behavior aligns with human values. Value alignment entails value inference, the process of identifying values and reasoning about how humans prioritize values. We introduce a holistic framework that connects the technical (AI) components necessary for...
conference paper 2023
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Chen, P.Y. (author), Tielman, M.L. (author), Heylen, Dirk K.J. (author), Jonker, C.M. (author), van Riemsdijk, M.B. (author)
For personal assistive technologies to effectively support users, they need a user model that records information about the user, such as their goals, values, and context. Knowledge-based techniques can model the relationships between these concepts, enabling the support agent to act in accordance with the user's values. However, user models...
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)
Values, such as freedom and safety, are the core motivations that guide us humans. A prerequisite for creating value-aligned multiagent systems that involve humans and artificial agents is value inference, the process of identifying values and reasoning about human value preferences. We introduce a framework that connects the value inference...
conference paper 2023
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Aydoğan, Reyhan (author), Jonker, C.M. (author)
This paper presents the negotiation support mechanisms provided by the Pocket Negotiator (PN) and an elaborate empirical evaluation of the economic decision support (EDS) mechanisms during the bidding phase of negotiations as provided by the PN. Some of these support mechanisms are offered actively, some passively. With passive support we...
conference paper 2023
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Aydoğan, Reyhan (author), Jonker, C.M. (author)
This paper introduces a dependency analysis and a categorization of conceptualized and existing economic decision support mechanisms for negotiation. The focus of our survey is on economic decision support mechanisms, although some behavioural support mechanisms were included, to recognize the important work in that area. We categorize...
conference paper 2023
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Kola, I. (author), Jonker, C.M. (author), Riemsdijk, M. Birna van (author)
Support agents that help users in their daily lives need to take into account not only the user’s characteristics, but also the social situation of the user. Existing work on including social context uses some type of situation cue as an input to information processing techniques in order to assess the expected behavior of the user. However,...
journal article 2023
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Tejedor-Romero, Marino (author), Murukannaiah, P.K. (author), Gimenez-Guzman, Jose Manuel (author), Marsa-Maestre, Ivan (author), Jonker, C.M. (author)
Channel allocation in dense, decentralized Wi-Fi networks is a challenging due to the highly nonlinear solution space and the difficulty to estimate the opponent’s utility model. So far, only centralized or mediated approaches have succeeded in applying negotiation to this setting. We propose the first two fully-distributed negotiation...
conference paper 2023
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Aydoğan, Reyhan (author), Baarslag, T. (author), Fujita, Katsuhide (author), Hoos, Holger H. (author), Jonker, C.M. (author), Mohammad, Yasser (author), Renting, B.M. (author)
An international competition for negotiating agents has been organized for years to facilitate research in agent-based negotiation and to encourage the design of negotiating agents that can operate in various scenarios. The 13th International Automated Negotiating Agents Competition (ANAC 2022) was held in conjunction with IJCAI2022. In...
conference paper 2023
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Moerland, T.M. (author), Broekens, D.J. (author), Plaat, Aske (author), Jonker, C.M. (author)
Sequential decision making, commonly formalized as Markov Decision Process (MDP) optimization, is an important challenge in artificial intelligence. Two key approaches to this problem are reinforcement learning (RL) and planning. This survey is an integration of both fields, better known as model-based reinforcement learning. Model-based RL...
review 2023
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Centeio Jorge, C. (author), Tielman, M.L. (author), Jonker, C.M. (author)
Mutual trust is considered a required coordinating mechanism for achieving effective teamwork in human teams. However, it is still a challenge to implement such mechanisms in teams composed by both humans and AI (human-AI teams), even though those are becoming increasingly prevalent. Agents in such teams should not only be trustworthy and...
conference paper 2022
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Cavalcante Siebert, L. (author), Lupetti, M.L. (author), Aizenberg, E. (author), Beckers, N.W.M. (author), Zgonnikov, A. (author), Veluwenkamp, H.M. (author), Abbink, D.A. (author), Giaccardi, Elisa (author), Houben, G.J.P.M. (author), Jonker, C.M. (author), van den Hoven, M.J. (author), Forster, D. (author), Lagendijk, R.L. (author)
How can humans remain in control of artificial intelligence (AI)-based systems designed to perform tasks autonomously? Such systems are increasingly ubiquitous, creating benefits - but also undesirable situations where moral responsibility for their actions cannot be properly attributed to any particular person or group. The concept of...
journal article 2022
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Liscio, E. (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
conference paper 2022
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Simons, L.P.A. (author), Pijl, Hanno (author), Verhoef, John (author), Lamb, Hildo J. (author), van Ommen, Ben (author), Gerritsen, B. (author), Bizino, Maurice B. (author), Snel, Marieke (author), Feenstra, R.W. (author), Jonker, C.M. (author)
Hybrid e-health support was given to 11 insulin-dependent type 2 diabetes mellitus (DM2) patients, with electronic support plus a multi-disciplinary health support team. Challenges were low ICT and health literacy. After 50 weeks, attractiveness and feasibility of the intervention were perceived as high: recommendation 9.5 out of 10 and...
journal article 2022
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Viana, Paula (author), Andrade, Maria Teresa (author), Carvalho, Pedro (author), Vilaça, Luis (author), Teixeira, Inês N. (author), Costa, Tiago (author), Jonker, P.P. (author)
Applying machine learning (ML), and especially deep learning, to understand visual content is becoming common practice in many application areas. However, little attention has been given to its use within the multimedia creative domain. It is true that ML is already popular for content creation, but the progress achieved so far addresses...
journal article 2022
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Kola, I. (author), Murukannaiah, P.K. (author), Jonker, C.M. (author), van Riemsdijk, M.B. (author)
Artificial agents that support people in their daily activities (e.g., virtual coaches and personal assistants) are increasingly prevalent. Since many daily activities are social in nature, support agents should understand a user's social situation to offer comprehensive support. However, there are no systematic approaches for developing...
journal article 2022
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Sommese, Raffaele (author), Jonker, Mattijs (author), van der Ham, Jeroen (author), Moura, Giovane C. M. (author)
Electronic government (e-gov) enables citizens and residents to digitally interact with their government via the Internet. Underpinning these services is the Internet Domain Name Systems (DNS), which maps e-gov domain names to Internet addresses. Structuring DNS with multiple levels of redundancy that can withstand stress events such as denial...
conference paper 2022
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