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- de Jong, F. (author), Van Vliet, L.J. (author), Jonker, P.P. (author) conference paper 1998
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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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Hofstede, G.J. (author), Jonker, C.M. (author), Verwaart, T. (author)This paper was originally presented at IEA/AIE 2008 [1]. The current paper is an extended abstract for presentation at BNAIC 2008. Agent-Based Modeling can contribute to the understanding of international trade processes. Models for the effects of culture and cultural differences on agent behavior are required for realistic agent-based...conference paper 2008
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Van Santen, W. (author), Jonker, C.M. (author), Wijngaards, N. (author)Decision making during crises takes place in (multi-agency) teams, in a bureaucratic political context. As a result, the common notion that during crises decision making should be done in line with a Command & Control structure is invalid. This paper shows that the best way for crisis decision making teams in a bureaucratic political context is...conference paper 2009
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- Ferro, D.N. (author), Jonker, C.M. (author) conference paper 2009
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- Ferro, D.N. (author), Jonker, C.M. (author), Salden, A.H. (author) conference paper 2009
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- Hindriks, K.V. (author), Jonker, C.M. (author), Visser, W. (author) conference paper 2009
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- Ferro, D.N. (author), Hoogendoorn, M. (author), Jonker, C.M. (author) conference paper 2009
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- Hofstede, G.J. (author), Jonker, C.M. (author), Verwaart, T. (author) conference paper 2009
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- Shi, Y. (author), Wiggers, P. (author), Jonker, C.M. (author) conference paper 2010
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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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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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- Hofstede, G.J. (author), Jonker, C.M. (author), Verwaart, T. (author) conference paper 2010
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- Van Riemsdijk, M.B. (author), Hindriks, K.V. (author), Jonker, C.M. (author), Sierhuis, M. (author) conference paper 2010
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Jonker, E. (author)Het stelsel van de basisregistraties, gezien vanuit de regulerende overheidconference paper 2011
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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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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
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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.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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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