Buyers of residential real estate frequently experience dissatisfaction with the property they have purchased. Recent findings suggest that insufficient knowledge about the property is a key trigger to ensuing disappointment and claims for compensation. Further, a good technical condition report reduces the probability of dissatisfaction and insurance claims. For the purpose of designing services for improving technical condition information and its flow, we elicited stakeholder perceptions on the suitability of residential real estate technical condition reports.  Specifically, we conducted multiple surveys which we content analyzed and used as the basis for a conceptual model of information products and dependencies needed to deliver better information to stakeholders in a real estate transaction process. The conceptual model, in turn, forms the basis for specific service design in future work.

There is an immediate need for a greater number of highly skilled cybersecurity personnel to meet intensified cyber attacks. We propose a cyber range exercise management architecture that employs machine reasoning to structure the design, execution and analysis of cyber range training scenarios. The scenarios are then used in simulation-based training in an emulated IT infrastructure environment. The machine reasoning is obtained by combining four AI methods: attack-defence trees, formal argumentation theory, answer set programming and multiagent systems. We argue that this type of advanced functionality that supports exercise managers in their design and analysis of scenarios is strictly necessary to improve current exercise management systems and build the required cybersecurity expertise.

In this section, multilinear models for multi-way arrays requiring iterative fitting algorithms are outlined. Among them: the PARAFAC (PARAllel FACtor analysis) model and one of its variants (the PARAFAC2 model); Tucker models in which one or more modes are reduced (viz., the N-way Tucker-N and Tucker-m models); hybrid models having intermediate properties between PARAFAC and Tucker ones; and coupled matrix and tensor decompositions (CMTF) which simultaneously decomposes multiple tensors. Five examples are included as to illustrate some practical aspects concerning the use of these models on analytical data.