Implementation of context-aware workflows with Multi-agent Systems

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Alfonso-Cendón, Javier and Fernández-de-Alba, José Mª and Fuentes-Fernández, Rubén and Pavón Mestras, Juan (2015) Implementation of context-aware workflows with Multi-agent Systems. Neurocomputing, 176 . pp. 91-97. ISSN 0925-2312

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Official URL: http://www.sciencedirect.com/science/article/pii/S0925231215005469



Abstract

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 and
interactions must be considered, can be achieved with multi-agent systems. Agents are autonomous entities with sophisticated and flexible behaviors, which are able to
adapt to complex and evolving environments, and to collaborate to reach common goals. This work presents architectural patterns to integrate agents on top of an
existing 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.


Item Type:Article
Additional Information:

Recent Advancements in Hybrid Artificial Intelligence Systems and its Application to Real-World Problems — Selected papers from the HAIS 2013 conference

Uncontrolled Keywords:Context-aware systems; Workflow design; Multi-Agent Systems; Ambient Intelligence
Subjects:Sciences > Computer science > Artificial intelligence
Sciences > Computer science > Software
ID Code:31024
Deposited On:16 Jul 2015 08:56
Last Modified:08 May 2017 23:01

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