Learning emotions in virtual environments


Poel, M. and Akker, H.J.A. op den and Nijholt, A. and Kesteren, A.-J. van (2002) Learning emotions in virtual environments. In: Cybernetics and Systems 2002, 2-5 April 2002, Vienna, Austria (pp. pp. 751-755).

open access
Abstract:A modular hybrid neural network architecture, called SHAME, for emotion learning is introduced. The system learns from annotated data how the emotional state is generated and changes due to internal and external stimuli. Part of the modular architecture is domain independent and part must be
adapted to the domain under consideration.
The generation and learning of emotions is based on the event appraisal model.
The architecture is implemented in a prototype consisting of agents trying to survive in a virtual world. An evaluation of this prototype shows that the architecture is capable of
generating natural emotions and furthermore that training of the neural network modules in the architecture is computationally feasible.
Keywords: hybrid neural systems, emotions, learning, agents.
Item Type:Conference or Workshop Item
Additional information:Imported from HMI
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/66305
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page

Metis ID: 209273