Download Intelligent Distributed Computing VI: Proceedings of the 6th by Andrea Omicini (auth.), Giancarlo Fortino, Costin Badica, PDF

By Andrea Omicini (auth.), Giancarlo Fortino, Costin Badica, Michele Malgeri, Rainer Unland (eds.)

This ebook represents the mixed peer-reviewed court cases of the 6th overseas Symposium on clever dispensed Computing -- IDC~2012, of the overseas Workshop on brokers for Cloud -- A4C~2012 and of the Fourth foreign Workshop on Multi-Agent platforms expertise and Semantics -- MASTS~2012. the entire occasions have been held in Calabria, Italy in the course of September 24-26, 2012.

The 37 contributions released during this e-book tackle many subject matters concerning conception and purposes of clever allotted computing and multi-agent structures, together with: adaptive and autonomous
distributed platforms, agent programming, ambient assisted
living structures, company technique modeling and verification, cloud
computing, coalition formation, choice aid structures, allotted optimization and constraint pride, gesture acceptance, clever power administration in WSNs, clever logistics, desktop studying, cellular brokers, parallel and disbursed computational intelligence, parallel evolutionary computing, belief metrics and protection, scheduling in dispensed heterogenous computing environments, semantic net provider composition, social simulation, and software program brokers for WSNs.

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Extra resources for Intelligent Distributed Computing VI: Proceedings of the 6th International Symposium on Intelligent Distributed Computing - IDC 2012, Calabria, Italy, September 2012

Sample text

In this paper we propose an extension to Jason that makes concurrent programming easier with the aid of promises. This extension makes it possible to express concurrent flows in a more natural way. We first present a non-intrusive extension that enables this style of programming and motivate its usefulness. Then we propose a language extension that avoids the inversion of control problem inherent when using promises. We also take into account some of the drawbacks of our proposed approach and investigate some possible solutions.

Engineering emergence. In: Proceedings of the 11th IEEE International Conference on Engineering of Complex Computer Systems, pp. 89–97 (2006) 6. : Biologically Inspired Approaches to Networks: The Bio-Networking Architecture and the Molecular Communication. C. ) BIOWIRE 2007. LNCS, vol. 5151, pp. 241–254. Springer, Heidelberg (2008) 7. : Designing a super-peer network. In: IEEE International Conference on Data Engineering, ICDE 2003 (2003) A Self-organized Approach for Detecting Communities in Networks Ben Collingsworth and Ronaldo Menezes Abstract.

Collingsworth and R. Menezes Many hybrid solutions have been developed to address the community detection problem. One interesting example of this is the solution proposed by Cruz et al. [3]. They apply a combination of algorithms for community detection in social networks. First, the agglomerative Blondel [2] algorithm is used to perform community partitioning based on network structure. Blondel’s algorithm discerns community structure by grouping nodes in the configuration which maximizes Girvan-Newman modularity [10].

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