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Titlebook: Intelligent Distributed Computing VI; Proceedings of the 6 Giancarlo Fortino,Costin Badica,Rainer Unland Conference proceedings 2013 Spring

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Information Fusion as Aid for Qualitative Enhancement of Intelligence Extraction in Multi-source Ention to the twin topics namely, sensor networks and information fusion. This is followed by an overview of how the objectives of the former can be aided by the advancements in the latter domain. This will include a brief overview of sensor network characteristics, its taxonomy, and performance metri
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Using Building Blocks for Pattern-Based Simulation of Self-organising Systems,teristics. Developing these systems is challenged by their hardly predictable dynamics and emergent phenomena and requires therefore the incorporation of . techniques. In doing so, not all needed development activities can be realised by just one software application because self-organisation often
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A Self-organized Approach for Detecting Communities in Networks,tection algorithms, such as the Girvan-Newman algorithm, utilize a centralized approach which offers poor performance. We propose a self-organized approach to community detection which utilizes the newly introduced concept of node entropy to allow individual nodes to make decentralized decisions con
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Dynamic Case-Based Reasoning Based on the Multi-Agent Systems: Individualized Follow-Up of Learnersollow-up during learning process, indeed among the numerous methods proposed, very few systems concentrate on a real time learner’s followup. Our work in this field develops the design and implementation of a Multi-Agent Systems Based on Dynamic Case Based Reasoning which can initiate learning and p
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An Architectural Pattern for Designing Intelligent Enterprise Systems,design of these software systems needs specific architectures to support intelligent behaviors, still ensuring important non-functional properties, such as flexibility, efficiency and scalability. This paper proposes an architectural pattern that helps designers to easily identify the subsystems tha
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