Multiagent model for agile context inference based on artificial immune systems and sparse distributed representations

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Multiagent model for agile context inference based on artificial immune systems and sparse distributed representations

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Publication Paper in proceeding
Title Multiagent model for agile context inference based on artificial immune systems and sparse distributed representations
Author Mihailescu, Radu-Casian ; Davidsson, Paul ; Persson, Jan
Research Centre Internet of Things and People Research Centre (IOTAP)
Editor Rovatsos, Michael ; Vouros, George ; Julian, Vicente
Date 2016
English abstract
The ubiquity of sensor infrastructures in urban environments poses new challenges in managing the vast amount of data being generated and even more importantly, deriving insights that are relevant and actionable to its users and stakeholders. We argue that understanding the context in which people and things are connected and interacting is of key importance to this end. In this position paper, we present ongoing work in the design of a multiagent model based on immunity theory concepts with the scope of enhancing sensor-driven architectures with context-aware capabilities. We aim to demonstrate our approach in a real-world scenario for processing streams of sensor data in a smart building
Conference
13th European Conference, EUMAS 2015 (European Conference on Multi-Agent Systems), and Third International Conference, AT 2015, (17-18 December, 2015 : Athens, Greece)
DOI https://doi.org/10.1007/978-3-319-33509-4_7 (link to publisher's fulltext.)
Publisher Springer
Host/Issue Multi-Agent Systems and Agreement Technologies;
Series/Issue Lecture Notes in Computer Science;9571
ISBN 978-3-319-33509-4
Pages 82-87
Language eng (iso)
Subject Technology
Research Subject Categories::TECHNOLOGY
Handle http://hdl.handle.net/2043/21490 Permalink to this page
Link http://ai-group.ds.unipi.gr/eumas-at2015/eumas2015... (external link to related web page)
Buy print http://www.bokfynd.nu/...978-3-319-33509-4 (Search for reseller)
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