In the Internet of Things, people cannot only easily connect to other people, but also to all kinds of artefacts. This offers a wealth of possibilities for performing complex collaborations, such as a search and rescue operation executed by the Netherlands Coastguard, or handling the information streams around complex surgery in a hospital. We claim that using the Internet of Things, we can accomplish complex tasks in new, better, and more efficient ways. Developing software that supports such complex collaborations using the Internet is challenging, and requires input from different kinds of stakeholders: domain experts, designers, programmers, managers, and end-users. Task Oriented Programming (TOP) is a recent, innovative, paradigm and formalism for developing software supporting (soft) real-time collaborations on the Internet. Programmer productivity increases significantly when using TOP. In this project we design and develop a suite of TOP supporting analysis and modelling tools that can be used by all stakeholders. This suite of TOP tools helps to improve understanding of the way in which tasks are planned and performed, to improve operational support of tasks, to improve the tasks themselves, as well as to raise the level of awareness of people executing tasks.

• prof. dr. J.T. (Johan) Jeuring
• dr. ir. C.N. (Chide) Groenouwe

• Tim Steenvoorden
• Bas Lijnse
• John van Groningen
• Laszlo Domoszlai
• Jan-Martin Jansen
• Peter Achten
• Pieter Koopman
• Markus Klinik
• Dr. Jurriën Stutterheim
• Prof. Rinus Plasmeijer

 Lucia de Berk heeft het ondervonden: bewijs op basis van statistiek leidt gemakkelijk tot fouten. Dit project beoogt het maken van zulke fouten te helpen voorkomen. De nieuwe aanpak van het project is om de succesvolle statistische modelleertechniek van Bayesiaanse netwerken te koppelen aan goed bij de juridische denkwereld aansluitende modellen van argumentatie en scenarioconstructie.

• prof. dr. mr. H. (Henry) Prakken
• dr. S. (Silja) Renooij

• S.T. Timmer
• C.S. Vlek MSc
• dr. B. Verheij
• prof. dr. L.C. Verbrugge (Department of Artificial Intelligence; University of Groningen)