%0 Book %T Activity, context, and plan recognition with computational causal behaviour models %A Krüger, Frank %D 2016 %C Rostock %C Universität Rostock %G English %F 1016164823 %O submitted by Dipl.-Inf. Frank Krüger from Rostock %O Zusammenfassung in deutscher und englischer Sprache %O Dissertation Universität Rostock 2016 %X reconstruction of causal structures of human behaviour in order to provide assistance?". To answer this question, the concept of Computational Causal Behaviour Models (CCBMs) is introduced. CCBM allows the specification of human behaviour by means of preconditions and effects and employs Bayesian filtering techniques to reconstruct action sequences from noisy and ambiguous sensor data. Furthermore, a novel approximative inference algorithm – the Marginal Filter – is introduced. %L 006.333 %9 theses %9 Text %9 Hochschulschrift %R 10.18453/rosdok_id00002015 %U http://rosdok.uni-rostock.de/resolve/urn/urn:nbn:de:gbv:28-diss2018-0009-0 %U https://nbn-resolving.org/urn:nbn:de:gbv:28-diss2018-0009-0 %U https://d-nb.info/1293651354/34 %U https://doi.org/10.18453/rosdok_id00002015