Searched for: author%3A%22van+Diggelen%2C+J.%22
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Werkhoven, P. (author), Bouwman, J. (author), van Diggelen, J. (author), Dijk, J. (author), van der Meulen, M. (author), Neerincx, M. (author), Raaijmakers, S. (author), van Veenstra, A.F. (author)
TNO has lived up to its motto ‘Innovation for life’ by playing a significant part in this digital revolution, with major breakthroughs in computer simulation, network transactions, wireless communication, cyber security, optical satellite communication and quantum computing.
report 2022
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Steen, M. (author), van Diggelen, J. (author), Timan, T. (author), van der Stap, N. (author)
A human-centric approach to the design and deployment of AI systems aims to support and augment human capabilities. This sounds worthwhile indeed. But what could this look like in a military context? We explored a human-centric approach to the design and deployment of highly autonomous, unarmed Unmanned Aerial Vehicle (UAV), or drone, and an...
article 2022
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Steen, M. (author), van Diggelen, J. (author), Timan, T. (author)
We used two ideas from cybernetics—the sociotechnical system and the feedback loop—to explore ways to deal with some current challenges in the design and application of AI systems, e.g., in Human-Machine Teaming and Algorithmic Decision Making. As thought experiments, we envisioned two ‘cybernetic’ systems. Our goal is to explore the usefulness...
conference paper 2022
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Schraagen, J.M.C. (author), van Diggelen, J. (author)
This chapter presents a brief history of expertise studies and Artificial Intelligence from a joint cognitive systems viewpoint. Expertise is currently viewed as skilled adaptation to complexity and novelty. Artificial intelligence, when restricted to machine learning systems, results in brittle systems that cannot cope with unanticipated...
bookPart 2021
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van der Waa, J. (author), Verdult, S. (author), van den Bosch, K. (author), van Diggelen, J. (author), Haije, T. (author), van der Stigchel, B. (author), Cocu, I. (author)
With the progress of Artificial Intelligence, intelligent agents are increasingly being deployed in tasks for which ethical guidelines and moral values apply. As artificial agents do not have a legal position, humans should be held accountable if actions do not comply, implying humans need to exercise control. This is often labeled as Meaningful...
article 2021
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van Zoelen, E.M. (author), Cremers, A.H.M. (author), Dignum, F.P.M. (author), van Diggelen, J. (author), Peeters, M.M. (author)
Artificially intelligent agents increasingly collaborate with humans in human-agent teams. Timely proactive sharing of relevant information within the team contributes to the overall team performance. This paper presents a machine learning approach to proactive communication in AI-agents using contextual factors. Proactive communication was...
conference paper 2020
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van der Waa, J. (author), van Diggelen, J. (author), Cavalcante Siebert, L. (author), Neericx, M. (author), Jonker, C. (author)
Artificially intelligent agents will deal with more morally sensitive situations as the field of AI progresses. Research efforts are made to regulate, design and build Artificial Moral Agents (AMAs) capable of making moral decisions. This research is highly multidisciplinary with each their own jargon and vision, and so far it is unclear whether...
conference paper 2020
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Peeters, M.M.M. (author), van Diggelen, J. (author), van den Bosch, K. (author), Bronkhorst, A. (author), Neerincx, M.A. (author), Schraagen, J.M. (author), Raaijmakers, S. (author)
Within current debates about the future impact of Artificial Intelligence (AI) on human society, roughly three different perspectives can be recognised: (1) the technology-centric perspective, claiming that AI will soon outperform humankind in all areas, and that the primary threat for humankind is superintelligence; (2) the human-centric...
article 2020
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van Diggelen, J. (author), Johnson, M. (author)
This paper introduces the concept of team design patterns and proposes an intuitive graphical language for describing the design choices that influence how intelligent systems (e.g. artificial intelligence, robotics, etc.) collaborate with humans. We build on the notion of design patterns and characterize important dimensions within human-agent...
conference paper 2019
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van Diggelen, J. (author), Neerincx, M.A. (author), Peeters, M. (author), Schraagen, J.M. (author)
Human-agent teams exhibit emergent behavior at the team level, as a result of interactions between individuals within the team. This begs the question how to design artificial team members (agents) as adequate team players that contribute to the team processes advancing team performance, resilience, and learning. This paper proposes the...
article 2019
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van Diggelen, J. (author)
public lecture 2019
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Beckers, A.L.D. (author), Sijs, J. (author), van Diggelen, J. (author), van Dijk, Roelof J.E. (author), Bouma, H. (author), Lomme, M. (author), Hommes, R.M. (author), Hillerström, F.H.J. (author), van der Waa, J.S. (author), van Velsen, A.L. (author), Mannucci, T. (author), Voogd, J.M. (author), van Staal, W. (author), Veltman, H.J. (author), Wessels, P.W. (author), Huizing, A. (author)
Intelligent robotic autonomous systems (unmanned aerial/ground/surface/underwater vehicles) are attractive for military application to relieve humans from tedious or dangerous tasks. These systems require awareness of the environment and their own performance to reach a mission goal. This awareness enables them to adapt their operations to...
conference paper 2019
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Meyer-Vitali, A.P. (author), Bakker, R.M. (author), van Bekkum, M.A. (author), de Boer, M. (author), Burghouts, G. (author), van Diggelen, J. (author), Dijk, J. (author), Grappiolo, C. (author), de Greeff, J. (author), Huizing, A.G. (author), Raaijmakers, S. (author)
Hybrid Artificial Intelligence combines the best of two worlds: the power of recent advances in deep learning with the possibility to explicitly model human knowledge in connected systems. Together, this new generation of AI becomes more controllable, explainable and fair, in line with European norms and values.
report 2019
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van Diggelen, J. (author)
public lecture 2019
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van der Vecht, B. (author), van Diggelen, J. (author), Peeters, M.M.M. (author), Barnhoorn, J. (author), van der Waa, J. (author)
Human-machine teaming (HMT) is a promising paradigm to approach future situations in which humans and autonomous systems closely collaborate. This paper introduces SAIL, a design method and framework for the development of HMT-concepts. Starting point of SAIL is that an HMT can be developed in an iterative process in which an existing autonomous...
conference paper 2018
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van Diggelen, J. (author), van den Broek, J. (author), Schraagen, J.M.C. (author), van der Waa, J.S. (author)
This paper proposes a human-centered approach to Dynamic Position-ing systems which combines multiple technologies in an intelligent operator sup-port system (IOSS). IOSS allows the operator to be roaming and do other tasks in quiet conditions. When conditions become more demanding, the IOSS calls the operator to return to his bridge position....
conference paper 2018
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van der Vecht, B. (author), van Diggelen, J. (author), Peeters, M.M.M. (author), van Staal, W. (author), van der Waa, J. (author)
Human-machine teaming (HMT) is a promising paradigm to approach situations in which humans and autonomous systems must closely collaborate. This paper describes SAIL, a software framework for implementing HMT-concepts. The approach of SAIL is to integrate existing autonomous systems in a framework, that serves as a social layer between...
conference paper 2018
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van Diggelen, J. (author), Looije, R. (author), van der Waa, J.S. (author), Neerincx, M.A. (author)
Turning a robot into an effective team-player requires continuous adaptation during its lifecycle to human team-members, tasks, and the technological environment. This paper proposes a concept for human-robot team development over longer periods of time and discusses technological and operational implications. From an operational perspective, we...
conference paper 2018
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van der Waa, J. (author), Robeer, M. (author), van Diggelen, J. (author), Brinkhuis, M. (author), Neerincx, M. (author)
Recent advances in interpretable Machine Learning (iML) and eXplainable AI (XAI) construct explanations based on the importance of features in classification tasks. However, in a high-dimensional feature space this approach may become unfeasible without restraining the set of important features. We propose to utilize the human tendency to ask...
conference paper 2018
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de Greeff, J. (author), Hayes, B. (author), Gombolay, M. (author), Johnson, M. (author), Neerincx, M.A. (author), van Diggelen, J. (author), Cefkin, M. (author), Kruijff-Korbayová, I. (author)
As robots that share working and living environments with humans proliferate, human-robot teamwork (HRT) is becoming more relevant every day. By necessity, these HRT dynamics develop over time, as HRT can hardly happen only in the moment. What theories, algorithms, tools, computational models and design methodologies enable effective and safe...
conference paper 2018
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