Agent-based applications have the potential to assist humans in their lifestyle change, for instance eliminating addictive behaviours or adopting new healthy behaviours. In order to provide adequate support, agents should take into consideration the main mechanisms underlying behaviour formation and change. Within this process habits play a crucial role: automatic behaviours that are developed unconsciously and may persist without the presence of any goals. Inspired by elements from neurological literature, a computational model of habit formation and change was developed as a basis for support agents able to assist humans in lifestyle and behaviour change. Simulations are presented showing that the model exhibits realistic human-like behaviour. © 2011 Springer-Verlag.
|Title of host publication||Modern Approaches in Applied Intelligence - 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Proceedings|
|Number of pages||13|
|Publication status||Published - 2011|
|Event||24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011 - Syracuse, NY, United States|
Duration: 28 Jun 2011 → 1 Jul 2011
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011|
|Period||28/06/11 → 1/07/11|
Bibliographical noteProceedings title: Proceedings of the 24th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Part II
Publisher: Springer Verlag
Editors: K.G. Mehrota et al.
- computational agent model
- habit learning
- lifestyle change support