Searched for: author%3A%22Jonker%2C+C.M.%22
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Centeio Jorge, C. (author), Jonker, C.M. (author), Tielman, M.L. (author)
In teams composed of humans, we use trust in others to make decisions, such as what to do next, who to help and who to ask for help. When a team member is artificial, they should also be able to assess whether a human teammate is trustworthy for a certain task. We see trustworthiness as the combination of (1) whether someone will do a task and ...
journal article 2024
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Lera-Leri, Roger X. (author), Liscio, E. (author), Bistaffa, Filippo (author), Jonker, C.M. (author), Lopez-Sanchez, Maite (author), Murukannaiah, P.K. (author), Rodriguez-Aguilar, Juan A. (author), Salas-Molina, Francisco (author)
We adopt an emerging and prominent vision of human-centred Artificial Intelligence that requires building trustworthy intelligent systems. Such systems should be capable of dealing with the challenges of an interconnected, globalised world by handling plurality and by abiding by human values. Within this vision, pluralistic value alignment is...
journal article 2024
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Zgonnikov, A. (author), Beckers, N.W.M. (author), George, A. (author), Abbink, D.A. (author), Jonker, C.M. (author)
Understanding behavior of human drivers in interactions with automated vehicles (AV) can aid the development of future AVs. Existing investigations of such behavior have predominantly focused on situations in which an AV a priori needs to take action because the human has the right of way. However, future AVs might need to proactively manage...
journal article 2024
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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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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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Kuilman, S.K. (author), Andriamahery, Koji (author), Jonker, C.M. (author), Cavalcante Siebert, L. (author)
Many technological systems these days interact with their environment with increasingly little human intervention. This situation comes with higher stakes and consequences that society needs to manage. No longer are we dealing with 404 pages: AI systems today may cause serious harm. To address this, we wish to exert a kind of control over these...
journal article 2023
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Mehrotra, S. (author), Centeio Jorge, C. (author), Jonker, C.M. (author), Tielman, M.L. (author)
Establishing an appropriate level of trust between people and AI systems is crucial to avoid the misuse, disuse, or abuse of AI. Understanding how AI systems can generate appropriate levels of trust among users is necessary to achieve this goal. This study focuses on the impact of displaying integrity, which is one of the factors that influence...
poster 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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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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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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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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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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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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Tejedor Romero, M. (author), Murukannaiah, P.K. (author), Gimenez-Guzman, Jose Manuel (author), Marsa Maestre, I. (author), Jonker, C.M. (author)
Channel allocation in dense Wi-Fi networks is a complex problem due to its nonlinear and exponentially sized solution space. Negotiating over this domain is a challenge, since it is difficult to estimate opponent’s utility. Based on our previous work in mediated techniques, we propose the first two fully-distributed multi-agent negotiations...
conference paper 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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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
Searched for: author%3A%22Jonker%2C+C.M.%22
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