NDLI: Agent-based architectural framework enhancing configurability, autonomy and scalability of context-aware pervasive services

Content Provider	Springer Nature Link
Author	Dimakis, Nikolaos Soldatos, John Polymenakos, Lazaros Bürkle, Axel Pfirrmann, Uwe Sutschet, Gerhard
Copyright Year	2009
Abstract	Multi-agent software architectures have gained in popularity due to their beneficial behavior in designing and implementing sophisticated applications. However, current approaches in implementing such architectures have led to application-specific, non-scalable implementations which limit the reusablity and improvement of the whole architecture. Moreover, these attempts lack features to enhance the user experience, thus slowing the adoption of the resulting services. In this paper we describe a fully-fledged multi-agent architecture covering a large variety of preferred features including capabilities of ‘plugging’ ubiquitous services, servicing mobile users, interconnecting remote similar architectures and interfacing with advanced software components such as knowledge bases. This framework exploits a wide-range of context-aware components making it essentially context-aware, allowing for the development of ubiquitous context-aware human-centric services, which are the focus of our research. To illustrate the flexibility of this architectural framework, we present four services which were built using this architectural paradigm by different development teams and elaborate on their overall behavior.
Starting Page	36
Ending Page	68
Page Count	33
File Format	PDF
ISSN	13872532
Journal	Autonomous Agents and Multi-Agent Systems
Volume Number	21
Issue Number	1
e-ISSN	15737454
Language	English
Publisher	Springer US
Publisher Date	2009-08-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi agent systems Pluggable architecture Pervasive computing Smart spaces Context-awareness User Interfaces and Human Computer Interaction Software Engineering/Programming and Operating Systems Computing Methodologies Computer Systems Organization and Communication Networks Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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