The classroom space located in the attic of an old building is subject this study. was renovated and new spaces were created unused to expand classrooms. original under sloping roof not used because its internal headroom suitable. During restoration, entire truss raised gradually (in parts) by 1.2 m. This a with area that can be for Continuous strips vertical windows measuring 860/600 mm instal...

Graphplan and heuristic state space planners such as HSP-R and UNPOP are currently two of the most effective approaches for solving classical planning problems. These approaches have hither-to been seen as largely orthogonal. In this paper, we show that the planning graph structure that Graphplan builds in polynomial time, provides a rich substrate for deriving more effective heuristics for sta...

The most recent research about both human-human conversational interaction and human-computer agents conversational interaction is marked by a multimodal perspective [1]. On the one hand this approach underlines the cooccurrence and synergy between different languages and channels [2], on the other hand it highlights the need for joined and coordinated action between various subjects (attuning ...

Concurrent measurements of neural activity at multiple scales, sometimes performed with multimodal techniques, become increasingly important for studying brain function. However, statistical methods for their concurrent analysis are currently lacking. Here we introduce such techniques in a framework based on vine copulas with mixed margins to construct multivariate stochastic models. These mode...

Languages use two distinct classes of verbs to encode the following distinct event types. Mutual events, in which participants share equal, reciprocal roles, are encoded by symmetrical verbs (e.g. meet). Non-mutual events, in which participants have distinct and non-reciprocal roles, are encoded by asymmetrical verbs (e.g. kick) (Gleitman, Gleitman, Miller, Ostrin, 1996; Dimitriadis, 2008). The...

Causality analytic techniques based on conditional mutual information are described. Causality analysis may be used to infer linear and nonlinear causal relations between selected brain regions, and can account for identified non-causal confounds. The analysis results in a directed graph whose nodes are brain regions, and whose edges represent information flow. This causal information measure i...