RT Journal Article
T1 Implementation of context-aware workflowswith Multi-agent Systems
A1 Alfonso-Cendón, Javier
A1 Fernández-de-Alba, José Mª
A1 Fuentes-Fernández, Rubén
A1 Pavón Mestras, Juan Luis
AB Systems in Ambient Intelligence (AmI) need to manage workflows that represent users’ activities. These workflows can be quite complex, as they may involve multiple participants, both physical and computational, playing different roles. Their execution implies monitoring the development of the activities in the environment, and taking the necessary actions for them and the workflow to reach a certain end. The context-aware approach supports the development of these applications to cope with event processing and regarding information issues. Modeling the actors in these context-aware workflows, where complex decisions andinteractions must be considered, can be achieved with multi-agent systems. Agents are autonomous entities with sophisticated and flexible behaviors, which are able toadapt to complex and evolving environments, and to collaborate to reach common goals. This work presents architectural patterns to integrate agents on top of anexisting context-aware architecture. This allows an additional abstraction layer on top of context-aware systems, where knowledge management is performed by agents.This approach improves the flexibility of AmI systems and facilitates their design. A case study on guiding users in buildings to their meetings illustrates this approach.
PB Elsevier
SN 0925-2312
YR 2015
FD 2015-05-08
LK https://hdl.handle.net/20.500.14352/24063
UL https://hdl.handle.net/20.500.14352/24063
LA eng
NO Recent Advancements in Hybrid Artificial Intelligence Systems and its Application to Real-World Problems — Selected papers from the HAIS 2013 conference
NO Ministerio de Economía y Competitividad (MINECO)
DS Docta Complutense
RD 18 abr 2025