Titlebook: Intelligent Distributed Computing IX; Proceedings of the 9 Paulo Novais,David Camacho,Costin Badica Conference proceedings 2016 Springer In

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Evolutionary Algorithms: Perspectives on the Evolution of Parallel Modelsrent hardware architectures. We show the interest in studying ephemeral behaviors that distributed computing resources may feature and some EA’s self-properties of interest, such as the fault-tolerant nature that helps to fight the . phenomenon. Moreover, interactive versions of EAs, which require d

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Agents and Ontologies for a Smart Management of Heterogeneous Data: The IndianaMas Systeme heterogeneous data formats, languages and data sources, it adopts a multiagent architecture that makes easier coping with such a mixed environment, and exploits ontologies to have a clear, formal and self contained representation of the domain. These two architectural solutions make possible to ha

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Scrutable Multi-agent Hazard Rescue System most appropriate one(s) should be sent to the danger zone. A traditional system would require a lot of effort on the part of the people involved, but would also involve the risk of not taking the best decisions under pressure. We propose an automated system that incorporates multiple autonomous age

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MAESTROS: Multi-Agent Simulation of Rework in Open Source Software given the fact that the time spent on rework does not count to the improvement of the project. Predicting and controlling rework causes is a valuable asset for companies, which maintain closed policies on choosing team members and assigning activities to developers. However, a trending growth in de

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A CBR Approach to Allocate Computational Resources Within a Cloud Platformthe high number of end-users. To do so, platforms usually use mathematical models to allocate the computational resource among the offered services to the end-user. Although these mathematical models are valid and they are widely extended, they can be improved by means of use intelligent techniques.