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Robbins, S.A. (author)
Machine Learning (ML) is reaching the peak of a hype cycle. If you can think of a personal or grand societal challenge – then ML is being proposed to solve it. For example, ML is purported to be able to assist in the current global pandemic by predicting COVID-19 outbreaks and identifying carriers (see, e.g., Ardabili et al. 2020). ML can make...
doctoral thesis 2021
document
Martins Martinho Bessa, A.C. (author), Kroesen, M. (author), Chorus, C.G. (author)
As AI Systems become increasingly autonomous, they are expected to engage in decision-making processes that have moral implications. In this research we integrate theoretical and empirical lines of thought to address the matters of moral reasoning and moral uncertainty in AI Systems. We reconceptualize the metanormative framework for decision...
journal article 2021
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Pavlovic, Milica (author), Bier, H.H. (author), Pillan, Margherita (author)
Ambient User Experience (Ambient UX) is a conceptual framework providing a strategy for design processes that target cyber-physical spaces. Such design processes interface Wireless Sensor-Actuator Networks (WSAN), Artificial Intelligence (AI), and physically built environments. For managing the complexity of such design processes and ensuring...
journal article 2020
document
Janssen, M.F.W.H.A. (author), Brous, P.A. (author), Estevez, Elsa (author), Barbosa, Luis S. (author), Janowski, Tomasz (author)
The rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI). As such systems are increasingly requested to make decisions that are consequential to individuals, communities and society at large, their...
journal article 2020
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Giaccardi, Elisa (author), Redström, Johan (author)
Are we reaching the limits of what human-centered and user-centered design can cope with? Developing new design methodologies and tools to unlock the potentials of data technologies such as the Internet of Things, Machine Learning and Artificial Intelligence for the everyday job of design is necessary but not sufficient. There is now a need to...
journal article 2020
document
Gao, Y. (author), Janssen, M.F.W.H.A. (author)
Open government data initiatives have gained popularity around the world. Artificial Intelligence (AI) has the potential to make better use of data. Combining the OGD and AI is crucial to generate more value from data. In this paper we investigate what kind of value was generated through AI and how. A context-input-process-output/outcome ...
conference paper 2020
document
Zheng, Z. (author)
With the rising demands from customers and users and the development of ever advanced technologies, many space missions nowadays require more than one satellite to fulfill their mission objectives. Although replacing single satellite systems (SSSs) by multiple satellite systems (MSSs) offers advantages, such as enhanced spatial and temporal...
doctoral thesis 2019
document
Baarslag, T. (author)
Negotiation is an important activity in human society, and is studied by various disciplines, ranging from economics and game theory, to electronic commerce, social psychology, and artificial intelligence. Traditionally, negotiation is a necessary, but also time-consuming and expensive activity. Therefore, in the last decades there has been a...
doctoral thesis 2014
document
Engeli, M. (author), Kurmann, D. (author), Schmitt, G. (author)
conference paper 1995
document
Donker, J.C. (author), Kat, P.J. (author)
In the engineering process, many design decisions are made in the initial stage. These decisions can have far-reaching consequences. Especially in a multi-disciplinary design process, it is desirable to be able to gather the diverse alternatives for aspects of a design and to store them in some formal representation in order to reason about them...
report 1986
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