Abstract: This paper appeared at the ISCRAM 2010  and presents an intelligent system facilitating better in-
formed decision making under severe uncertainty, as often found in emergency management. The
construction of decision-relevant scenarios, being plausible descriptions of a situation and its future
development, is used as a rationale for collecting, organizing, filtering and processing information for
decision making. The development of scenarios is geared to assessing decision alternatives, thus avoiding
time-consuming analysis and processing of irrelevant information.
The scenarios are constructed in a distributed setting allowing for a flexible adaptation of reasoning (prin-
ciples and processes) to the problem at hand and the information available. Each decision can be founded
on a coherent set of scenarios, which was constructed using the best expertise available within a limited
timeframe. Our theoretical framework is demonstrated in a distributed decision support system by
orchestrating both automated systems and human experts into workflows tailored to each specific problem.
Abstract: A research project on stress assessment is
running at Delft University of Technology since 1992. One of the aims of the project is to develop an instrument for automated stress assessment. The underlying system is based on the analysis of facial expressions, voice analysis and the analysis of physiological signals such as heart rate and blood pressure. Analysis of these multi-medial data takes place in parallel and are based on Artificial Intelligence technology. In each of the parallel subsystems, corresponding to sensor, image and sound data, the functionality is split up into a number of layers: filtering and reduction layer, preprocessing layer, processor layer, application layer and output layer. The results of the analysis are combined by a central interpreter, resulting in an overall stress measure. In this paper the stress assessment is used to monitor vigilance levels of car drivers with a focus on voice analysis.
Abstract: This paper illustrates objectives of the DIADEM project which focuses on a
novel combination of advanced technologies which facilitate collaborative information
processing in environmental management applications. The emphasis is on the principles
and tools which facilitate creation of a single information space in advanced systems of
systems through a systematic integration of heterogeneous processes. In particular, we
illustrate the main principles of the DIADEM Process Integration framework, which
supports collaborative processing based on a combination of automated reasoning
processes and cognitive capabilities of multiple human experts, each contributing specific
expertise and processing resources.