Abstract
Personalisation has an important role to play in a pervasive environment, supporting resource management tasks and tailoring the system to behave in ways that suit the user. However, this depends on creating and maintaining an adequate set of information on the user's preferences. Experience has shown that one cannot simply rely on the user to input preferences, and it is essential to employ some form of machine learning to support this; on the other hand the user needs to be able to control this. Two major approaches used for this purpose are rulebased strategies and artificial neural networks (ANNs). Within the Persist pervasive system these two different approaches are being combined to give maximum benefit. However, in order to enable the user to maintain control over the resulting set of user preferences, it is essential that he/she can see the current state of this preference set and change it whenever this is required. This paper describes how this will be achieved.
Original language | English |
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Title of host publication | Adaptive and Emergent Behaviour and Complex Systems |
Subtitle of host publication | Proceedings of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour |
Publisher | Society for the Study of Artificial Intelligence and the Simulation of Behaviour |
Pages | 16-19 |
Number of pages | 4 |
ISBN (Print) | 1902956850, 9781902956855 |
Publication status | Published - 2009 |
Event | 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour 2009 - Edinburgh, United Kingdom Duration: 6 Apr 2009 → 9 Apr 2009 |
Conference
Conference | 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour 2009 |
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Abbreviated title | AISB 2009 |
Country/Territory | United Kingdom |
City | Edinburgh |
Period | 6/04/09 → 9/04/09 |
ASJC Scopus subject areas
- Artificial Intelligence
- Modelling and Simulation