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Published in:
2016 | OriginalPaper | Chapter
Mobile Sensing Agents for Social Computing Environments
Authors : Javier Bajo, Andrew T. Campbell, Xia Zhou
Published in: Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection
Publisher: Springer International Publishing
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During recent years, research in smart cities and internet of the things has acquired a notable relevance. Current research is mainly focused on wireless sensor networks and data analysis. However, it is still necessary to provide new solutions for social problems based on mobile intelligent devices connected to the city. Mobility is a key factor for social environments in smart cities in which humans wear intelligent devices that can also be installed in vehicles and continuously vary their positions in the city. Social computing envisions a new kind of computation where humans and machines collaborate to compute and resolve a social problem. The role of mobile intelligent actors in social computing is still a challenge and require new solutions. In this paper, we present a multi-agent architecture that incorporates a new mobile sensing agent model and virtual organizations of agents for information fusion and machine learning, as well as contextual information to enrich the social knowledge representation.