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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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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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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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Koca, Thimjo (author), Baarslag, Tim (author), Jonker, C.M. (author)
This work presents BIDS (Bidding using Diversied Search), an algorithm that can be used by negotiating agents to search very large outcome spaces. BIDS provides a balance between being rapid, accurate, diverse, and scalable search, allowing agents to search spaces with as many as 10250 possible outcomes on very run-of-the-mill hardware. We<br/...
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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Zgonnikov, A. (author), Thill, Serge (author), Beckerle, Philipp (author), Jonker, C.M. (author)
This interdisciplinary workshop aims to break boundaries between the researchers who develop human models (e.g., from the fields of human factors, cognitive psychology, and computational neuroscience) and roboticists who use human models in different human-robot interaction (HRI) contexts. The keynote talks, contributed submissions, and...
conference paper 2022
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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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Liscio, E. (author), van der Meer, M.T. (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
Value alignment is a crucial aspect of ethical multiagent systems. An important step toward value alignment is identifying values specific to an application context. However, identifying contextspecific values is complex and cognitively demanding. To support this process, we develop a methodology and a collaborative web platform that employs AI...
conference paper 2021
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Liscio, E. (author), van der Meer, M.T. (author), Cavalcante Siebert, L. (author), Mouter, N. (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
The pursuit of values drives human behavior and promotes cooperation. Existing research is focused on general (e.g., Schwartz) values that transcend contexts. However, context-specific values are necessary to (1) understand human decisions, and (2) engineer intelligent agents that can elicit human values and take value-aligned actions. We...
conference paper 2021
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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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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 (&gt;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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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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Jonker, C.M. (author), Murukannaiah, P.K. (author), Verwaart, D. (author)
The bargaining power of prosumers in a market can vary significantly. Participants can range from industrial participants to powerful and less powerful citizens. Existing trade mechanisms in such markets, e.g., in rural India’s energy trade market, show occurrences of discrimination, exclusion, and unfairness. We study how discrimination...
conference paper 2021
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Tsfasman, M. (author), Saravanan, Avinash (author), Viner, Dekel (author), Goslinga, Daan (author), De Wolf, Sarah (author), Raman, C.A. (author), Jonker, C.M. (author), Oertel, Catharine (author)
How human-like do conversational robots need to look to enable long-term human-robot conversation? One essential aspect of long-term interaction is a human's ability to adapt to the varying degrees of a conversational partner's engagement and emotions. Prosodically, this can be achieved through (dis)entrainment. While speech-synthesis has...
conference paper 2021
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Aydoğan, Reyhan (author), Fujita, Katsuhide (author), Baarslag, T. (author), Jonker, C.M. (author), Ito, Takayuki (author)
The Automated Negotiating Agents Competition (ANAC) is annually organized competition to facilitate the research on automated negotiation. This paper presents the ANAC 2017 Repeated Multilateral Negotiation League. As human negotiators do, agents are supposed to learn from their previous negotiations and improve their negotiation skills over...
conference paper 2021
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Coppens, Youri (author), Steckelmacher, Denis (author), Jonker, C.M. (author), Nowe, A.S.P. (author)
Today’s advanced Reinforcement Learning algorithms produce black-box policies, that are often difficult to interpret and trust for a person. We introduce a policy distilling algorithm, building on the CN2 rule mining algorithm, that distills the policy into a rule-based decision system. At the core of our approach is the fact that an RL...
conference paper 2021
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Koeman, Vincent J. (author), Hindriks, K.V. (author), Gratch, Jonathan (author), Jonker, C.M. (author)
Effective use of negotiation support systems depends on the systems capability of explaining itself to the user. This paper introduces the notion of an explanation matrix and an aberration detection mechanism for bidding strategies. The aberration detection is a mechanism that detects if one of the negotiating parties deviates from their...
conference paper 2021
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Jonker, C.M. (author), Aydoğan, Reyhan (author)
This paper presents the Deniz agent that has been specifically designed to support human negotiators in their bidding. The design of Deniz is done with the criteria of robustness and the availability of small data, due to a small number of negotiation rounds in mind. Deniz’s bidding strategy is based on an existing optimal concession strategy...
conference paper 2021
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Kola, I. (author), Tielman, M.L. (author), Jonker, C.M. (author), van Riemsdijk, M.B. (author)
Personal assistant agents have been developed to help people in their daily lives with tasks such as agenda management. In order to provide better support, they should not only model the user’s internal aspects, but also their social situation. Current research on social context tackles this by modelling the social aspects of a situation from...
conference paper 2021
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Mercuur, R.A. (author), Dignum, M.V. (author), Jonker, C.M. (author)
Inducing behavioural change requires a good understanding of how habits break. We identified two theories in the psychological literature on this process: the decrease theory and persist theory. Both theories are used to explain behavioural change, but one states the original habit fades out, while the other theory states the habit persists. We...
conference paper 2021
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