Scalable Analysis of Collective Behaviour in Smart Service Systems
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- Emeritus Professor Michael Harrison
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| Author(s) | | Massink M, Harrison MD, Latella D |
| Editor(s) | | Shin, D. |
| Publication type | | Conference Proceedings (inc. Abstract) |
| Conference Name | | 25th annual ACM Symposium on Applied Computing |
| Conference Location | | Sierre, Switzerland |
| Year of Conference | | 2010 |
| Date | | 22-26 March 2010 |
| Volume | | |
| Pages | | 1173-1180 |
| ISBN | | 9781605586397 |
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| Full text for this publication is not currently held within this repository. Alternative links are provided below where available. |
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| The long term vision of smart service systems in which electronic environments are made sensitive and responsive to the presence of, possibly many, people is gradually taking shape through a number of pilot projects. The purposes of such systems vary from intelligent homes that assist their inhabitants to make their lives more independent and comfortable to much larger environments such as airports in which people are provided with context aware, personalised, adaptive and anticipatory services that are most relevant for them given their location and their current activities. This paper is concerned with the exploration of scalable formal models that can address the collective behaviour of a large number of people moving through a smart environment. |
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| Publisher | | ACM |
| URL | | http://delivery.acm.org/10.1145/1780000/1774337/p1173-massink.pdf |
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| Library holdings | | Search Newcastle University Library for this item |
