10.18453/rosdok_id00001381 Yordanova, Kristina Yordanova Kristina Yordanova Yordanova http://d-nb.info/gnd/1056892773 Universität Rostock 2014 004 Data processing Computer sciences 2014 en http://purl.uni-rostock.de/rosdok/id00001381 urn:nbn:de:gbv:28-diss2014-0133-5 This work investigates the ability of symbolic models to encode context information that is later used for generating probabilistic models for activity recognition. The contributions of the work are as follows: it shows that it is possible to successfully use symbolic models for activity recognition; it provides a modelling toolkit that contains patterns for reducing the model complexity; it proposes a structured development process for building and evaluating computational causal behaviour models.