Searched for: author:"Meyer, J.J.C."
(1 - 20 of 42)

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Peeters, M.M. (author), van den Bosch, K. (author), Meyer, J.J.C. (author), Neerincx, M.A. (author)
Personalisation can increase the learning efficacy of educational games by tailoring their content to the needs of the individual learner. This paper presents the Personalised Educational Game Architecture (PEGA). It uses a multi-agent organisation and an ontology to offer learners personalised training in a game environment. The multi-agent...
conference paper 2016
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Giele, T.R.A. (author), Mioch, T. (author), Neerincx, M.A. (author), Meyer, J.J.C. (author)
Artificial agents, such as robots, are increasingly deployed for teamwork in dynamic, high-demand environments. This paper presents a framework, which applies context information to establish task (re)allocations that improve human-robot team’s performance. Based on the framework, a model for adaptive automation was designed that takes the...
conference paper 2015
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de Penning, H.L.H. (author), d'Avila Garcez, S.S. (author), Lamb, L.C. (author), Meyer, J.J.C. (author)
In real-world applications, the effective integration of learning and reasoning in a cognitive agent model is a diffcult task. However, such integration may lead to a better understanding, use and construction of more realistic multiagent models. Existing models are either oversimplified or require too much processing time, which is unsuitable...
conference paper 2014
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Peeters, M.M.M. (author), van den Bosch, K. (author), Meyer, J.J.C. (author), Neerincx, M.A. (author)
During scenario-based training, the scenario is dynamically adapted in real time to control the storyline and increase its effectiveness. A team of experienced staff members is required to manage and perform the adaptations. They manipulate the storyline and the level of support during their role-play of important characters in the scenario. The...
article 2014
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de Penning, L. (author), d' Avila Garcez, A.S. (author), Lamb, L.C. (author), Stuiver, A. (author), Meyer, J.J.C. (author)
Providing personalized feedback in Intelligent Transport Systems is a powerful tool for instigating a change in driving behaviour and the reduction of CO2 emissions. This requires a system that is capable of detecting driver characteristics from real-time vehicle data. In this paper, we apply the architecture and theory of a Neural-Symbolic...
conference paper 2014
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de Penning, H.L.H. (author), d' Avila Garcez, A. (author), Meyer, J.J.C. (author)
Deep Boltzmann Machines (DBM) have been used as a computational cognitive model in various AI-related research and applications, notably in computational vision and multimodal fusion. Being regarded as a biological plausible model of the human brain, the DBM is also becoming a popular instrument to investigate various cortical processes in...
conference paper 2013
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Ferdinandus, G.R. (author), Peeters, M.M.M. (author), van den Bosch, K. (author), Meyer, J.J.C. (author)
Serious games allow for adaptive and personalised forms of training; the nature and timing of learning activities can be tailored to the trainee’s needs and interests. Autonomous game-based training requires for the automatic selection of appropriate exercises for an individual trainee. This paper presents a framework for an automated scenario...
conference paper 2013
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Harbers, M. (author), Bradshaw, J.M. (author), Johnson, M. (author), Feltovich, P. (author), van den Bosch, K. (author), Meyer, J.J.C. (author)
There are several applications in which humans and agents jointly perform a task. If the task involves interdependence among the team members, coordination is required to achieve good team performance. This paper discusses the role of explanation in coordination in human-agent teams. Explanations about agent behavior for humans can improve...
conference paper 2012
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Harbers, M. (author), van den Bosch, K. (author), Meyer, J.J.C. (author)
Virtual training systems with intelligent agents provide an effective means to train people for complex, dynamic tasks like crisis management or firefighting. For successful training, intelligent virtual agents should be able to show believable behavior, adapt their behavior to the trainee’s performance and give useful explanations about their...
article 2012
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Peeters, M.M.M. (author), Meyer, J.J.C. (author), van den Bosch, K. (author), Neerincx, M.A. (author)
Serious games enable trainees to practice independently of school, staff, and fellow students. This is important as amount of practice directly relates to training efficacy. It is also known that personalized guidance elevates the benefits of training. How to achieve automated guidance, for example to be used in serious games, is a yet unsolved...
conference paper 2012
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Broekens, J. (author), Harbers, M. (author), Brinkman, W. (author), Jonker, C. (author), van den Bosch, K. (author), Meyer, J.J.C. (author)
In this paper we experimentally investigate learning effects of a rigourously set up virtual reality (VR) negotiation training. We discuss the design of the system in detail. Further, we present results of an experiment (between subject; three experimental conditions: control, training once, repeated training; n=42) investigating learning...
conference paper 2012
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Harbers, M. (author), van den Bosch, K. (author), Meyer, J.J.C. (author)
Virtual training provides an effective means to train complex, dynamic tasks like social interaction, negotiation and crisis management. The virtual characters with whom the trainee interacts are often played by autonomous, intelligent agents. For effective training, it is required that the agents behave in a believable way. In order to display...
bookPart 2011
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de Penning, H.L.H. (author), d'Avila Garcez, A.S. (author), Lamb, L.C. (author), Meyer, J.J.C. (author)
In real-world applications, the effective integration of learning and reasoning in a cognitive agent model is a difficult task. However, such integration may lead to a better understanding, use and construction of more realistic models. Unfortunately, existing models are either oversimplified or require much processing time, which is unsuitable...
conference paper 2011
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Harbers, M. (author), Bradshaw, J.M. (author), Johnson, M. (author), Feltovich, P. (author), van den Bosch, K. (author), Meyer, J.J.C. (author)
There are several applications in which humans and agents jointly perform a task. If the task involves interdependence among the team members, coordination is required to achieve good team performance. Coordination in human-agent teams can be improved by giving humans insight in the behavior of the agents. When humans are able to understand and...
conference paper 2011
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Peeters, M.M.M. (author), van den Bosch, K. (author), Meyer, J.J.C. (author), Neerincx, M.A. (author)
Research regarding autonomous learning shows that freeplay does not result in optimal learning. Combining scenario-based training with intelligent agent technology offers the possibility to create autonomous training enriched with automated adaptive support delivered by a director agent. We conducted an experiment to investigate whether...
conference paper 2011
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Peeters, M. (author), van den Bosch, K. (author), Meyer, J.J.C. (author), Neerincx, M.A. (author)
The development of adaptive virtual learning environments as an educative tool is promising. In this paper we use the situated cognitive engineering method to analyze the operational demands, theoretical foundations and technological opportunities for the design of a Director Agent (DA). A DA uses its knowledge about the virtual world, the...
conference paper 2011
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Broekens, J. (author), Harbers, M. (author), Brinkman, W.P. (author), Jonker, C. (author), van den Bosch, K. (author), Meyer, J.J.C. (author)
In this paper we present a rigorously setup VR negotiation training, including an intelligent virtual agent able to express emotion and to give explanations of its behavior. We discuss the measures we took to ensure the validity of the VR training. We also present a small scale experiment showing convergent validity of the VR training. © 2011...
conference paper 2011
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Harbers, M. (author), van den Bosch, K. (author), Meyer, J.J.C. (author)
To understand emergent processes in multi-agent-based simulations it is important to study the global processes in a simulation as well as the processes on the agent level. The behavior of individual agents is easier to understand when they are able to explain their own behavior. In this paper, a theoretical framework for explaining agent...
conference paper 2011
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de Penning, H.L.H. (author), d' Avila Garcez, A.S. (author), Lamb, L.C. (author), Meyer, J.J.C. (author)
In real-world applications, the effective integration of learning and reasoning in a cognitive agent model is a difficult task. However, such integration may lead to a better understanding, use and con-struction of more realistic models. Unfortunately, existing models are either oversimplified or require much processing time, which is unsuitable...
conference paper 2011
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Harbers, M. (author), van den Bosch, K. (author), Meyer, J.J.C. (author), TNO Defensie en Veiligheid (author)
Intelligent agents are used to generate the behavior of characters in virtual training systems. To increase trainees' insight in played training sessions, agents can be equipped with capabilities to explain the reasons for their actions. By using an agent programming language in which declarative aspects of an agent's reasoning process are...
conference paper 2010
Searched for: author:"Meyer, J.J.C."
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