Agent-Based Group Modelling for Ambient Intelligence

Judith Masthoff, Wamberto Vasconcelos, Chris Aitken, Flavio S. Correa da Silva

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

16 Citations (Scopus)


Ambient intelligence allows physical environments to become sensitive and responsive to the presence of people and objects. An environment endowed with ambient intelligence is able to analyse its contexts, adapt itself to the presence of people and objects residing in it, learn from their behaviour and recognise and express emotion. Ambient intelligence is realised via devices which blend into the background, while supporting social interaction and improving people’s experience within the physical space (e.g., by increasing safety or comfort). Often physical spaces must be shared by various people: adapting devices ’ responses and behaviour to simultaneously suit a group of people is an important and not much explored issue. To complicate matters further, group membership may change continuously. In this paper, we propose an approach based on group adaptation and software agents, to manage shared devices in ambient intelligence solutions. We present a proof-of-concept implementation embedding our approach, which allows engineers to design and experiment with distinct ways of managing shared devices – software agents are associated with devices and people, and interact with each other to agree on how shared devices should change their behaviours in view of the people in their radius of action.
Original languageEnglish
Title of host publicationAISB Symposium on Affective Smart Environments
Number of pages7
Publication statusPublished - 2007
EventAISB'07 | Artificial and Ambient Intelligence - Newcastle upon Tyne, United Kingdom
Duration: 2 Apr 20074 Apr 2007


ConferenceAISB'07 | Artificial and Ambient Intelligence
Country/TerritoryUnited Kingdom
CityNewcastle upon Tyne

Bibliographical note

AISB'07, Artificial and Ambient Intelligence, April 2nd-4th 2007, Newcastle University, Newcastle upon Tyne, UK


  • group adaptation
  • group modelling
  • agents
  • ambient intelligence


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