Title : Adaptive Estimation of Emotion Generation for an Ambient Agent Model

Presenter Zulfiqar Ali Memon
Abstract To improve the performance and wellbeing of humans in complex human-computer interaction settings, an interesting challenge for an ambient (or pervasive) agent system is to recognise the emotions of humans. To this end, this paper introduces a computational model to estimate the process of emotion generation based on certain triggers. The model has been implemented and tested using the modelling language LEADSTO. A first evaluation indicates that the model is successful in estimating a person’s emotions, and is robust to different parameter settings.
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Title : Representing Legal Knowledge on the Semantic Web

Presenter Rinke Hoekstra
Abstract In this talk I will give a brief overview of the application of Semantic Web technology to the representation of legal knowledge on the web. Though the structure of legal information shows striking resemblance to the way information is organised on the web, the legal domain houses several interesting mechanisms not always found in other domains that pose challenging problems for knowledge representation.
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