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Aydogan, R. (author), Hindriks, K.V. (author), Jonker, C.M. (author)Much attention has been paid to bilateral negotiation in which the dispute is between only two parties. However, automated multilateral negotiation in which more than two negotiating parties need to reach a joint agreement, has received relatively less attention, even though such negotiations are required in many circumstances (e.g. a group of...conference paper 2013
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Hindriks, K.V. (author), Jonker, C.M. (author), Pasman, W. (author)Rational agents programmed in agent programming languages derive their choice of action from their beliefs and goals. One of the main benefits of such programming languages is that they facilitate a highlevel and conceptually elegant specification of agent behaviour. Qualitative concepts alone, however, are not sufficient to specify that this...conference paper 2008
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- de Jong, F. (author), Van Vliet, L.J. (author), Jonker, P.P. (author) conference paper 1998
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- Shi, Y. (author), Wiggers, P. (author), Jonker, C.M. (author) conference paper 2010
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Visser, W.M. (author), Hindriks, K.V. (author), Jonker, C.M. (author)In the context of practical reasoning, such as decision making and negotiation, it is necessary to model preferences over possible outcomes. Such preferences usually depend on multiple criteria. We argue that the criteria by which outcomes are evaluated should be the satisfaction of a person’s underlying interests: the more an outcome satisfies...conference paper 2011
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- Visser, W. (author), Aydogan, R. (author), Hindriks, K.V. (author), Jonker, C.M. (author) conference paper 2012
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Visser, W.M. (author), Hindriks, K.V. (author), Jonker, C.M. (author)Preferences are derived in part from knowledge. Knowledge, however, may be defeasible. We present an argumentation framework for deriving qualitative, multi-attribute preferences and incorporate defeasible reasoning about knowledge. Intuitively, preferences based on defeasible conclusions are not as strong as preferences based on certain...conference paper 2011
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Lukosch, S.G. (author), Poelman, R. (author), Akman, O. (author), Jonker, P.P. (author)This paper introduces a novel gesture-based interface for crime scene investigation. The interface is part of a mediated reality system in which remote collaboration is supported. Requirements elicited from interviews and interactive sessions showed that our gesture-based user interface is effective in operating a 3D interface and allows the...conference paper 2012
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Dignum, V. (author), Jonker, C.M. (author), Prada, R. (author), Dignum, F. (author)Socially intelligent systems exhibit, understand, and reason about social behavior, in order to support people in their daily lives. We claim that a fundamental new approach based on social concepts is needed to build these socially intelligent systems. In this paper, we explore how the concepts of social practices and social identities can be...conference paper 2014
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Van der Zwaan, J.M. (author), Dignum, V. (author), Jonker, C.M. (author)Recent developments in affective computing show that Embodied Conversational Agents (ECAs) are increasingly capable of complex social and emotional dialogues. Our research concerns the design and evaluation of an ECA that provides social support to children that are being bullied though the Internet. Recently, we proposed a domain-independent...conference paper 2012
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Van der Zwaan, J.M. (author), Dignum, V. (author), Jonker, C.M. (author)In everyday life, people frequently talk to others to help them deal with negative emotions. To some extent, everybody is capable of comforting other people, but so far conversational agents are unable to deal with this type of situation. To provide intelligent agents with the capability to give emotional support, we propose a domain-independent...conference paper 2012
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Visser, W.M. (author), Hindriks, K.V. (author), Jonker, C.M. (author)Preferences are derived in part from knowledge. Knowledge, however, may be defeasible. We present an argumentation framework for deriving qualitative, multi-attribute preferences and incorporate defeasible reasoning about knowledge. Intuitively, preferences based on defeasible conclusions are not as strong as preferences based on certain...conference paper 2011
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- Ferro, D.N. (author), Jonker, C.M. (author) conference paper 2009
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Jacobs, E.J. (author), Broekens, J. (author), Jonker, C.M. (author)In this paper we present a mapping between joy, distress, hope and fear, and Reinforcement Learning primitives. Joy / distress is a signal that is derived from the RL update signal, while hope/fear is derived from the utility of the current state. Agent-based simulation experiments replicate psychological and behavioral dynamics of emotion...conference paper 2014
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- Ferro, D.N. (author), Jonker, C.M. (author), Salden, A.H. (author) conference paper 2009
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Harbers, M. (author), Aydogan, R. (author), Jonker, C.M. (author), Neerincx, M.A. (author)Human teamwork can be supported by agent technology by providing each human team member with an agent that monitors, supports and advices the human. The agent can, for example, monitor the human’s workload, and share that information with (agents of) other team members so that work can be distributed effectively. However, though sharing...conference paper 2014
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Schuitema, E. (author), Caarls, W. (author), Wisse, M. (author), Jonker, P.P. (author), Babuska, R. (author)Reinforcement Learning is a promising paradigm for adding learning capabilities to humanoid robots. One of the difficulties of the real world is the presence of disturbances. In Reinforcement Learning, disturbances are typically dealt with stochastically. However, large and infrequent disturbances do not fit well in this framework; essentially,...conference paper 2010
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Pommeranz, A. (author), Detweiler, C.A. (author), Wiggers, P. (author), Jonker, C.M. (author)The impact of ubiquitous technology and social media on our lives is rapidly increasing. We explicitly need to consider personal values affected or violated by these systems. Value-sensitive design can guide a designer in building systems that account for human values. However, the framework lacks clear steps to guide elicitation of stakeholders...conference paper 2011
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Van der Zwaan, J.M. (author), Dignum, M.V. (author), Jonker, C.M. (author)This paper proposes a design for an Embodied Conversational Agent (ECA) that empowers victims of cyberbullying by simulating peer support. The anti-cyberbullying buddy helps a child to cope with negative emotions due to a cyberbullying incident and it shows the child how to deal with future incidents of cyberbullying. The buddy interacts with...conference paper 2010
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Van Vliet, B. (author), Caarls, W. (author), Schuitema, E. (author), Jonker, P.P. (author)Reinforcement learning is a way to learn control tasks by trial and error. Even for simple motor control tasks, however, this can take a long time. We can speed up learning by using prior knowledge, but this is not always available, especially for an autonomous agent. One way to add limited prior knowledge is to use subgoals, defining points...conference paper 2011