Download e-book for iPad: Intelligent Distributed Computing, Systems and Applications: by Alberto Montresor (auth.), Costin Badica, Giuseppe Mangioni,

By Alberto Montresor (auth.), Costin Badica, Giuseppe Mangioni, Vincenza Carchiolo, Dumitru Dan Burdescu (eds.)

ISBN-10: 3540852565

ISBN-13: 9783540852568

This publication represents the peer-reviewed complaints of the second one overseas Symposium on clever allotted Computing – IDC 2008 held in Catania, Italy in the course of September 18-19, 2008.

The 35 contributions during this e-book tackle many issues regarding clever and dispensed computing, structures and purposes, together with: adaptivity and studying; brokers and multi-agent structures; argumentation; auctions; case-based reasoning; collaborative structures; facts buildings; dispensed algorithms; formal modeling and verification; genetic and immune algorithms; grid computing; info extraction, annotation and integration; community and safeguard protocols; cellular and ubiquitous computing; ontologies and metadata; P2P computing; making plans; recommender structures; principles; semantic net; companies and procedures; belief and social computing; digital corporations; instant networks; XML technologies.

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Additional resources for Intelligent Distributed Computing, Systems and Applications: Proceedings of the 2nd International Symposium on Intelligent Distributed Computing – IDC 2008, Catania, Italy, 2008

Example text

1 A. B˘adic˘a and C. B˘adic˘a Negotiation Structure A negotiation structure defines a general framework that statically constraints a given negotiation. The negotiation host role orchestrates the negotiation and coordinates negotiators by employing the general negotiation protocol. We shall have a separate negotiation host for each active auction in the system. All the active negotiation hosts are managed by a negotiation server host. A negotiation participant role describes the behavior of a negotiator that plays a certain role in the negotiation.

Note that the Ð Ö ß ÙÒ Ø ÓÒ ÐÓ ÓÖ ° Ö ØÙÖÒ ØÓ »ØÓ ß ÓÖ °Ë Ð ØÓ ´°È Ò °È»× Ø ÓÒ × Ø ÓÒ ß ° » ¶ ¸ ° »Ø ØÐ »× Ø ÓÒ Ò °Á» ÓÓ × ¸ ÐÓ Ö ØÙÖÒ ÐÓ Ð Ñ ÒØ´µµ Ð ØÓ ´° µ Ð ØÓ ´°Ëµ Fig. 1. Query 1 × Ð Ñ ÒØ´µ¶ 58 D. Bedn´arek $I $P main function toc($P) for $X in for $S $X $P/section return

in return $S $I/book $P , toc($S) $X/@* $P $X/title toc($X) Fig. 2. Query 1 – Standard data flow $I $P main function toc($P) for $X in for $S $X return

in $I/book $P/section return $S $P , toc($S) $X/@* $X/title $P toc($X) Fig.

References 1. : Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Communications 7(1), 39–59 (1994) 2. : Quality of Knowledge in Virtual Entities. In: Encyclopedia of Communities of Practice in Information and Knowledge Management, pp. 436–442. Idea Group Inc. (2006) 44 C. Analide et al. 3. : Parse Trees. , et al. ) Evolutionary Computation 1: Basic Algorithms And Operators. Institute of Physics Publishing, Bristol (2000) 4. : Journal of Cooperative Information Systems 5(2-3), 105–130 (1996) 5.

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Intelligent Distributed Computing, Systems and Applications: Proceedings of the 2nd International Symposium on Intelligent Distributed Computing – IDC 2008, Catania, Italy, 2008 by Alberto Montresor (auth.), Costin Badica, Giuseppe Mangioni, Vincenza Carchiolo, Dumitru Dan Burdescu (eds.)


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